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| computer science week 2022: Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung, 2024-07-31 This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. |
| computer science week 2022: Navigating Computer Science Education in the 21st Century Bosch, Chantelle, Goosen, Leila, Chetty, Jacqui, 2024-02-26 Students often face challenges in a swiftly advancing Computer Science Education (CSE), where technologies evolve rapidly, and concepts unfold with overwhelming intricacies. As society becomes interwoven with technology, how essential is the integration of CSE into the educational framework to adequately equip future generations for the complexities of the digital era? Navigating Computer Science Education in the 21st Century advocates integrating CSE into curricula, underlining its crucial role in early childhood development. The book grapples with the challenge of introducing children to technology responsibly, addressing concerns about unmonitored screen time while emphasizing the necessity of evidence-based approaches for educators. Within these pages, effective teaching strategies are linked to successes in CSE. The book explores learner-centered teaching methodologies in computer science, emphasizing individualized instruction, active learning, and collaborative approaches. It evaluates the effectiveness of traditional lecture-based teaching against more innovative strategies such as game-based learning and collaborative approaches. By presenting studies that delve into the impact of these strategies on student engagement and motivation, the book equips educators with the insights needed to make informed decisions tailored to diverse learning environments. |
| computer science week 2022: Research Partners with Lived Experience Andrew Stranieri, |
| computer science week 2022: Applications of AI for Interdisciplinary Research Sukhpal Singh Gill, 2024-09-13 Applying artificial intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields. The proliferation and successful deployment of AI algorithms are fuelling these changes, which can be seen in fields as disparate as healthcare and emerging Internet of Things (IoT) applications. Machine learning techniques, and AI more broadly, are expected to play an ever-increasing role in the modelling, simulation, and analysis of data from a wide range of fields by the interdisciplinary research community. Ideas and techniques from multidisciplinary research are being utilised to enhance AI; hence, the connection between the two fields is a two-way street at a crossroads. Algorithms for inference, sampling, and optimisation, as well as investigations into the efficacy of deep learning, frequently make use of methods and concepts from other fields of study. Cloud computing platforms may be used to develop and deploy several AI models with high computational power. The intersection between multiple fields, including math, science, and healthcare, is where the most significant theoretical and methodological problems of AI may be found. To gather, integrate, and synthesise the many results and viewpoints in the connected domains, refer to it as interdisciplinary research. In light of this, the theory, techniques, and applications of machine learning and AI, as well as how they are utilised across disciplinary boundaries, are the main areas of this research topic. This book apprises the readers about the important and cutting-edge aspects of AI applications for interdisciplinary research and guides them to apply their acquaintance in the best possible manner This book is formulated with the intent of uncovering the stakes and possibilities involved in using AI through efficient interdisciplinary applications The main objective of this book is to provide scientific and engineering research on technologies in the fields of AI and data science and how they can be related through interdisciplinary applications and similar technologies This book covers various important domains, such as healthcare, the stock market, natural language processing (NLP), real estate, data security, cloud computing, edge computing, data visualisation using cloud platforms, event management systems, IoT, the telecom sector, federated learning, and network performance optimisation. Each chapter focuses on the corresponding subject outline to offer readers a thorough grasp of the concepts and technologies connected to AI and data analytics, and their emerging applications |
| computer science week 2022: Computer and Communication Engineering Filippo Neri, |
| computer science week 2022: INFORMATION TECHNOLOGY & BIOINFORMATICS INTERNATIONAL CONFERENCE ON ADVANCE IT, ENGINEERING AND MANAGEMENT SACAIM - 2023, VOLUME 2 Dr. Hemalatha N., Mrs. K. Annapoorneshwari Shetty, Dr. Rakesh Kumar B., 2024-08-25 |
| computer science week 2022: Reconnoitering the Landscape of Edge Intelligence in Healthcare Suneeta Satpathy, Sachi Nandan Mohanty, Sirisha Potluri, 2024-04-23 The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing. |
| computer science week 2022: Fog Computing for Intelligent Cloud IoT Systems Chandan Banerjee, Anupam Ghosh, Rajdeep Chakraborty, Ahmed A. Elngar, 2024-07-03 FOG COMPUTING FOR INTELLIGENT CLOUD IOT SYSTEMS This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services Fog computing is a decentralized computing structure that connects data, devices, and the cloud. It is an extension of cloud computing and is an essential concept in IoT (Internet of Things), as it reduces the burden of processing in cloud computing. It brings intelligence and processing closer to where the data is created and transmitted to other sources. Fog computing has many benefits, such as reduced latency in processing data, better response time that helps the user’s experience, and security and privacy compliance that assures protecting the vital data in the cloud. It also reduces the cost of bandwidth, because the processing is achieved in the cloud, which reduces network bandwidth usage and increases efficiency as user devices share data in the local processing infrastructure rather than the cloud service. Fog computing has various applications across industries, such as agriculture and farming, the healthcare industry, smart cities, education, and entertainment. For example, in the agriculture industry, a very prominent example is the SWAMP project, which stands for Smart Water Management Platform. With fog computing’s help, SWAMP develops a precision-based smart irrigation system concept used in agriculture, minimizing water wastage. This book is divided into three sections. The first section studies fog computing and machine learning, covering fog computing architecture, application perspective, computational offloading in mobile cloud computing, intelligent Cloud-IoT systems, machine learning fundamentals, and data visualization. The second section focuses on applications and analytics, spanning various applications of fog computing, such as in healthcare, Industry 4.0, cancer cell detection systems, smart farming, and precision farming. This section also covers analytics in fog computing using big data and patient monitoring systems, and the emergence of fog computing concerning applications and potentialities in traditional and digital educational systems. Security aspects in fog computing through blockchain and IoT, and fine-grained access through attribute-based encryption for fog computing are also covered. Audience The book will be read by researchers and engineers in computer science, information technology, electronics, and communication specializing in machine learning, deep learning, the cyber world, IoT, and security systems. |
| computer science week 2022: Brain Informatics Feng Liu, Yu Zhang, Hongzhi Kuai, Emily P. Stephen, Hongjun Wang, 2023-09-12 This book constitutes the proceedings of the 16th International Conference on Brain Informatics, BI 2023, which was held in Hoboken, NJ, USA, during August 1–3, 2023. The 40 full papers presented in this book were carefully reviewed and selected from 101 submissions. The papers are divided into the following topical sections: cognitive and computational foundations of brain science; investigations of human Information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; brain-machine intelligence and brain-inspired computing; and the 5th international workshop on cognitive neuroscience of thinking and reasoning. |
| computer science week 2022: Advances in Data and Information Sciences Shailesh Tiwari, Munesh C. Trivedi, Mohan L. Kolhe, Brajesh Kumar Singh, 2024-01-02 This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology. |
| computer science week 2022: Proceedings of Eighth International Congress on Information and Communication Technology Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi, 2023-07-25 This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes. |
| computer science week 2022: Software Architecture Matthias Galster, |
| computer science week 2022: Health Information Science Yan Li, Zhisheng Huang, Manik Sharma, Lu Chen, Rui Zhou, 2023-11-11 This book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023. The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems. |
| computer science week 2022: Digital Respiratory Healthcare Hilary Pinnock, Vitalii Poberezhets, David Drummond, 2023-12-01 Respiratory care is undergoing a period of major change as it cautiously begins to embrace digital transformation. Catalysed by the need for remote consultation in the pandemic, time-honoured approaches to delivering care are now being challenged by technology-based initiatives. This Monograph deftly guides the reader through the potential benefits and pitfalls of such change, breaking the discussion down into three areas: technological opportunities and regulatory challenges ; social benefits, challenges and implications; exemplars of digital healthcare. Each chapter reviews contemporary literature and considers not ‘if’ but ‘how’ a digital respiratory future can provide optimal care. The result is an authoritative, balanced guide to developing digital respiratory health. |
| computer science week 2022: Information Security and Privacy in Smart Devices: Tools, Methods, and Applications Rabadão, Carlos, Santos, Leonel, Costa, Rogério Luís de Carvalho, 2023-04-03 In recent years, smart devices have become commonplace in our daily lives. On the internet of things (IoT), these devices powered new intelligent services. Their application enabled the rise of intelligent cities, smart agriculture, and Industry 4.0. However, smart devices collect and share large amounts of data, including the habits and preferences of their users. Cybersecurity incidents in intelligent environments may impact services used by millions across the world and make private information public. Information Security and Privacy in Smart Devices: Tools, Methods, and Applications presents research challenges, innovative insights, and trends related to solutions, methods, processes, and applications for maintaining information security and privacy in intelligent environments. Covering topics such as information retrieval methods, electronic health records, and misinformation detection, this premier reference source is an excellent resource for security professionals, government officials, business leaders and executives, IT managers, hospital administrators, students of higher education, librarians, researchers, and academicians. |
| computer science week 2022: Smart Spaces Zhihan Lyu, 2024-03-18 Smart Spaces combines the study of working or living spaces with computing, information equipment, and multimodal sensing devices, and with natural and convenient interactive interfaces to support how people can easily obtain services from computer systems. People's work and life in smart spaces use computer systems; it is a process of uninterrupted interaction between people and the computer system. In this process, the computer is no longer just an information processing tool that passively executes explicit human operation commands but a collaborator with people to complete tasks – a partner to human beings. International research on smart spaces is quite extensive, which shows the important role of smart spaces in ubiquitous computing research. Smart Spaces covers the latest research concepts and technologies of smart spaces, providing technical personnel engaged in smart space related research and industries a more in-depth understanding of smart spaces. This book can be used as a reference for practicing the emerging discipline of Smart Spaces, and will be useful for researchers, scientists, developers, practitioners, and graduate students working in the fields of smart spaces and artificial intelligence. - Comprehensively introduces smart spaces, from basic concepts, core technologies, technical architecture, application scenarios, and other aspects - Covers the latest cutting-edge application technology of smart spaces in various fields, providing relevant practitioners with ideas to solve problems and have a deeper understanding of smart spaces - Serves as teaching material or as a reference for teachers and students of interaction design, internet of things, ubiquitous and pervasive computing, and artificial intelligence - Gives a detailed introduction to the theory of Smart Spaces and uses mathematical formulas |
| computer science week 2022: Past, Present and Future of Computing Education Research Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr, 2023-04-17 This book presents a collection of meta-studies, reviews, and scientometric analyses that together reveal a fresh picture about the past, present, and future of computing education research (CER) as a field of science. The book begins with three chapters that discuss and summarise meta-research about the foundations of CER, its disciplinary identity, and use of research methodologies and theories. Based on this, the book proceeds with several scientometric analyses, which explore authors and their collaboration networks, dissemination practices, international collaboration, and shifts in research focus over the years. Analyses of dissemination are deepened in two chapters that focus on some of the most influential publication venues of CER. The book also contains a series of country-, or region-level analyses, including chapters that focus on the evolution of CER in the Baltic Region, Finland, Australasia, Israel, and in the UK & Ireland. Two chapters present case studies of influential CER initiatives in Sweden and Namibia. This book also includes chapters that focus on CER conducted at school level, and cover crucially important issues such as technology ethics, algorithmic bias, and their implications for CER.In all, this book contributes to building an understanding of the past, present and future of CER. This book also contributes new practical guidelines, highlights topical areas of research, shows who to connect with, where to publish, and gives ideas of innovative research niches. The book takes a unique methodological approach by presenting a combination of meta-studies, scientometric analyses of publication metadata, and large-scale studies about the evolution of CER in different geographical regions. This book is intended for educational practitioners, researchers, students, and anyone interested in CER. This book was written in collaboration with some of the leading experts of the field. |
| computer science week 2022: Blockchain in Healthcare Chang Lu, Mohan Tanniru, 2024-02-05 This books brings readers a holistic understanding of blockchain adoption in healthcare by not only considering the technical fundamentals of use cases, but also the regulatory, informational and organizational challenges and solutions. The book also provides frameworks and toolkits to manage the entire life cycle of adoption, including analysing the environment and feasibility, application design from a user-centred perspective, and implementation strategies that would overcome organizational and informational barriers. Specific issues addressed include but are not limited to: How to analyse the value propositions in healthcare and which distributed actors should be engaged to fulfil these propositions? What policies and practices need to be reviewed to ensure security and privacy of the information shared? How to design blockchain systems that seamlessly integrate with other stakeholder applications, while only the needed information is in the distributed architecture? How can blockchain implementation be managed from governance and risk mitigation perspectives, especially when multiple actors are involved? By reading this book, blockchain enthusiasts, health informatics professionals and healthcare executives will be better prepared to leverage the transformative potential of blockchain for healthcare. |
| computer science week 2022: Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications Bilgaiyan, Saurabh, Singh, Jagannath, Das, Himansu, 2022-06-24 Recently, there has been an increase in the number of e-commerce users. This has caused online shopping to become a new and challenging market for e-commerce vendors. Security, inventory management, reliability, and performance of e-commerce websites are a few of the challenges associated with the rising popularity of e-commerce. On a daily basis, millions of e-commerce transactions are taking place. This generates a huge amount of data that can be used to solve the various challenges of e-commerce. Further study on how this data can be used to address these issues is required to propel businesses forward. Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce. By looking at the exponential growth of the e-commerce market and its popularity, this book also focuses on the current issues, solutions, and future possibilities in the B2C model of e-commerce. Covering a range of critical topics such as online shopping, supply chain management, and blockchain, this reference work is ideal for academic scientists, data scientists, software developers, business experts, researchers, scholars, practitioners, academicians, instructors, and students. |
| computer science week 2022: Integrated Computer Technologies in Mechanical Engineering - 2023 Mykola Nechyporuk, |
| computer science week 2022: Progress in Artificial Intelligence Manuel Filipe Santos, |
| computer science week 2022: Digital Health Transformation, Smart Ageing, and Managing Disability Kim Jongbae, Mounir Mokhtari, Hamdi Aloulou, Bessam Abdulrazak, Lee Seungbok, 2023-10-28 This open access book constitutes the refereed proceedings of the 20th International Conference on Digital Health Transformation and Smart Ageing, ICOST 2023, held in Wonju, South Korea, during July 7–8, 2023. The 18 full papers and 16 short papers included in this book were carefully reviewed and selected from 41 submissions. They were organized in topical sections as follows: IoT and AI Solutions for E-health, Biomedical and Health Informatics, Wellbeing Technologies, Short Contributions: Medical Systems and E-health Solutions and Short Contributions: Wellbeing Technologies. |
| computer science week 2022: Computer Security. ESORICS 2023 International Workshops Sokratis Katsikas, |
| computer science week 2022: Data Driven Science for Clinically Actionable Knowledge in Diseases Daniel Catchpoole, Simeon Simoff, Paul Kennedy, Quang Vinh Nguyen, 2023-12-06 Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualisation and human-information interaction. This edited volume covers state-of-the-art theory, method, models, design, evaluation and applications in computational and visual analytics in desktop, mobile and immersive environments for analysing biomedical and health data. The book is focused on data-driven integral analysis, including computational methods and visual analytics practices and solutions for discovering actionable knowledge in support of clinical actions in real environments. By studying how data and visual analytics have been implemented into the healthcare domain, the book demonstrates how analytics influences the domain through improving decision making, specifying diagnostics, selecting the best treatments and generating clinical certainty. |
| computer science week 2022: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management Vincent G. Duffy, |
| computer science week 2022: Smart Trends in Computing and Communications Tomonobu Senjyu, |
| computer science week 2022: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky Ning Wang, Genaro Rebolledo-Mendez, Vania Dimitrova, Noboru Matsuda, Olga C. Santos, 2023-06-29 This volume constitutes poster papers and late breaking results presented during the 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023. The 65 poster papers presented were carefully reviewed and selected from 311 submissions. This set of posters was complemented with the other poster contributions submitted for the Poster and Late Breaking results track of the AIED 2023 conference. |
| computer science week 2022: Innovative Computing and Communications Aboul Ella Hassanien, |
| computer science week 2022: Orchestrating a Resource-aware Edge Klervie Toczé, 2024-09-02 More and more services are moving to the cloud, attracted by the promise of unlimited resources that are accessible anytime, and are managed by someone else. However, hosting every type of service in large cloud datacenters is not possible or suitable, as some emerging applications have stringent latency or privacy requirements, while also handling huge amounts of data. Therefore, in recent years, a new paradigm has been proposed to address the needs of these applications: the edge computing paradigm. Resources provided at the edge (e.g., for computation and communication) are constrained, hence resource management is of crucial importance. The incoming load to the edge infrastructure varies both in time and space. Managing the edge infrastructure so that the appropriate resources are available at the required time and location is called orchestrating. This is especially challenging in case of sudden load spikes and when the orchestration impact itself has to be limited. This thesis enables edge computing orchestration with increased resource-awareness by contributing with methods, techniques, and concepts for edge resource management. First, it proposes methods to better understand the edge resource demand. Second, it provides solutions on the supply side for orchestrating edge resources with different characteristics in order to serve edge applications with satisfactory quality of service. Finally, the thesis includes a critical perspective on the paradigm, by considering sustainability challenges. To understand the demand patterns, the thesis presents a methodology for categorizing the large variety of use cases that are proposed in the literature as potential applications for edge computing. The thesis also proposes methods for characterizing and modeling applications, as well as for gathering traces from real applications and analyzing them. These different approaches are applied to a prototype from a typical edge application domain: Mixed Reality. The important insight here is that application descriptions or models that are not based on a real application may not be giving an accurate picture of the load. This can drive incorrect decisions about what should be done on the supply side and thus waste resources. Regarding resource supply, the thesis proposes two orchestration frameworks for managing edge resources and successfully dealing with load spikes while avoiding over-provisioning. The first one utilizes mobile edge devices while the second leverages the concept of spare devices. Then, focusing on the request placement part of orchestration, the thesis formalizes it in the case of applications structured as chains of functions (so-called microservices) as an instance of the Traveling Purchaser Problem and solves it using Integer Linear Programming. Two different energy metrics influencing request placement decisions are proposed and evaluated. Finally, the thesis explores further resource awareness. Sustainability challenges that should be highlighted more within edge computing are collected. Among those related to resource use, the strategy of sufficiency is promoted as a way forward. It involves aiming at only using the needed resources (no more, no less) with a goal of reducing resource usage. Different tools to adopt it are proposed and their use demonstrated through a case study. |
| computer science week 2022: Improving Equity in Data Science Colby Tofel-Grehl, Emmanuel Schanzer, 2024-06-03 Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly discussed and used, and provides examples from research of these practices and literacies in action. Authors share stories and examples of research wherein data science advances equity and empowerment through the critical examination of social, educational, and political topics. In the first half of the book, readers will learn how data science can deliberately be embedded within K-12 spaces to empower students to use it to identify and address inequity. The latter half will focus on equity of access to data science learning opportunities in higher education, with a final synthesis of lessons learned and presentation of a 360-degree framework that links access, curriculum, and pedagogy as multiple facets collectively essential to comprehensive data science equity work. Practitioners and teacher educators will be able to answer the question, “how can data science serve to move equity efforts in computing beyond basic inclusion to empowerment?” whether the goal is to simply improve definitions and approaches to research on data science or support teachers of data science in creating more equitable and inclusive environments within their classrooms. |
| computer science week 2022: Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom Management Association, Information Resources, 2021-07-16 The education system is constantly growing and developing as more ways to teach and learn are implemented into the classroom. Recently, there has been a growing interest in teaching computational thinking with schools all over the world introducing it to the curriculum due to its ability to allow students to become proficient at problem solving using logic, an essential life skill. In order to provide the best education possible, it is imperative that computational thinking strategies, along with programming skills and the use of robotics in the classroom, be implemented in order for students to achieve maximum thought processing skills and computer competencies. The Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom is an all-encompassing reference book that discusses how computational thinking, programming, and robotics can be used in education as well as the benefits and difficulties of implementing these elements into the classroom. The book includes strategies for preparing educators to teach computational thinking in the classroom as well as design techniques for incorporating these practices into various levels of school curriculum and within a variety of subjects. Covering topics ranging from decomposition to robot learning, this book is ideal for educators, computer scientists, administrators, academicians, students, and anyone interested in learning more about how computational thinking, programming, and robotics can change the current education system. |
| computer science week 2022: The Power of Games William B Rouse, 2024-09-18 Games have long played a central role in society – actually a central role in the animal kingdom. Their play provides primary behavioral mechanisms that enable animals to learn and socialize. Indeed, play is a core animal activity. The principal focus of this book is on how games foster human playing, learning, and competing, including how we can design games to do this better. The author provides a wealth of real-world examples of how he created games for clients in the domains of education, energy, healthcare, national security, and transportation. He has focused on training and aiding for strategic thinking, product planning, technology development, and business operations. The technologies underlying these games became increasingly sophisticated. This has taken on greater significance as the gaming industry has grown and prospered. Gaming revenues now dwarf film and theater. New games released gain millions of sales within a few days of release. What makes games so appealing? What is the psychology of gaming? Does it vary for card games, board games, simulation games, and online games? What makes a game successful over years? What about sports games? What sociological roles do they play in our society? Why do they claim such energy and devotion? Why are sports stars able to earn enormous contracts? What is the business of these games? Why is it expected to be increasingly lucrative? What strategies might succeed or fail? Who might be the losers and winners? This book addresses all of these questions as well as an overarching question for society – Can online games fundamentally enhance the education of employees and students? The author is convinced they can. This requires, however, that games be designed to achieve these ends. This book is intended to contribute to understanding how to create and evaluate such games. Essentially, games enable employees and managers to play, learn, compete, and achieve in terms of knowledge and skills gained, competencies attained, customers attracted, and economic outcomes. This book explains, illustrates, and motivates investments in these pursuits to these ends. |
| computer science week 2022: Advances in Artificial Intelligence and Its Applications Obdulia Pichardo Lagunas, Oscar Herrera Alcántara, Gustavo Arroyo Figueroa, 2015-11-19 The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications. |
| computer science week 2022: Information Security Practice and Experience Weizhi Meng, Zheng Yan, Vincenzo Piuri, 2023-12-09 This book constitutes the refereed proceedings of the 18th International Conference on Information Security Practice and Experience, ISPEC 2023, held in Copenhagen, Denmark, in August 2023. The 27 full papers and 8 short papers included in this volume were carefully reviewed and selected from 80 submissions. The main goal of the conference is to promote research on new information security technologies, including their applications and their integration with IT systems in various vertical sectors. |
| computer science week 2022: HCI in Games Xiaowen Fang, 2023-07-08 This two-volume set of HCI-Games 2023, constitutes the refereed proceedings of the 5th International Conference on HCI in Games, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions. The HCI in Games 2023 proceedings intends to help, promote and encourage research in this field by providing a forum for interaction and exchanges among researchers, academics, and practitioners in the fields of HCI and games. The Conference addresses HCI principles, methods and tools for better games. |
| computer science week 2022: Intelligent Computing & Optimization Pandian Vasant, Gerhard-Wilhelm Weber, José Antonio Marmolejo-Saucedo, Elias Munapo, J. Joshua Thomas, 2022-10-20 This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! It is a Master Piece of what our community of academics and experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Modern Operational Research and Experience of the World-Leader Springer Nature! The 5th edition of International Conference on Intelligent Computing and Optimization took place at October 27–28, 2022, via Zoom. Objective was to celebrate “Creativity with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the planet, to share knowledge, experience, innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO’2022 is published by Springer Nature—Quality Label of wonderful. |
| computer science week 2022: Algorithmic Aspects in Information and Management Smita Ghosh, |
| computer science week 2022: Cooperative Design, Visualization, and Engineering Yuhua Luo, 2023-09-17 This book constitutes the proceedings of the 20th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2023, held in Palma de Mallorca, Spain, in October 2023. The 20 full papers and 6 short papers presented were carefully reviewed and selected from 62 submissions. The papers cover a wide application spectrum including architecture, engineering and construction (AEC), apace craft building, heavy industry, robotics, tourism, education, community building, medical supply industry, commerce. |
| computer science week 2022: Software Business Sami Hyrynsalmi, |
| computer science week 2022: Serverless Computing: Principles and Paradigms Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill, Rajkumar Buyya, 2023-05-11 This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
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Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
