Advertisement
caption generator for business: Advances in Artificial-Business Analytics and Quantum Machine Learning KC Santosh, |
caption generator for business: Introduction to Deep Learning Business Applications for Developers Armando Vieira, Bernardete Ribeiro, 2018-05-02 Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer. After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework. What You Will Learn Find out about deep learning and why it is so powerful Work with the major algorithms available to train deep learning models See the major breakthroughs in terms of applications of deep learning Run simple examples with a selection of deep learning libraries Discover the areas of impact of deep learning in business Who This Book Is For Data scientists, entrepreneurs, and business developers. |
caption generator for business: Strategic System Assurance and Business Analytics P. K. Kapur, Ompal Singh, Sunil Kumar Khatri, Ajit Kumar Verma, 2020-06-19 This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards. In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts. |
caption generator for business: The Business of High Definition and New Television Systems John Chittock, 1992 |
caption generator for business: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Sun, Zhaohao, Wu, Zhiyou, 2022-03-11 Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students. |
caption generator for business: Boiler Maker Arthur H. Sherwood, Howard Hayes Brown, 1916 |
caption generator for business: Own Your Everyday Jordan Lee Dooley, 2019-05-14 USA TODAY BESTSELLER • ECPA BESTSELLER • An empowering girlfriend’s guide to a purpose-driven life, from the young entrepreneur and rising star behind SoulScripts and the SHE Podcast “This book will meet you right where you are with a giant hug while also giving you a little kick in the pants.”—Audrey Roloff, New York Times bestselling coauthor of A Love Letter Life, founder of Always More, cofounder of Beating50Percent Does it ever seem like you still have to find your purpose or that you’re stuck with “unfigured-out dreams”? Do you feel the pressure to prove yourself or worry about what others will think? You are not the only one. From accidentally starting a small business instead of using her college degree, to embarrassing herself onstage in front of thousands, to wasting time worrying about what others think or say, Jordan Lee Dooley knows exactly how that feels—and she’s learned some important lessons about living a purposeful life along the way. An influential millennial widely recognized for her tagline turned international movement, “Your Brokenness is Welcome Here,” Jordan has become a go-to source that women around the world look to for inspiration in their faith, work, relationships, and everyday life. Now, in this approachable but actionable read that’s jam-packed with practical tools, Jordan equips you to • tackle obstacles such as disappointment, perfectionism, comparison, and distraction • remove labels and break out of the box of expectations • identify and eliminate excuses and unnecessary stress about an unknown future • overcome the lie that you can’t live your God-given purpose until you reach a certain goal or milestone If you ever feel you need to shift your mindset but don’t know how, this book will help you overcome shame, practice gratitude, and redefine success. |
caption generator for business: BM/E , 1988 |
caption generator for business: Advancements in Interdisciplinary Research Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma, 2023-01-20 This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues. |
caption generator for business: RiTA 2020 Esyin Chew, Anwar P. P. Abdul Majeed, Pengcheng Liu, Jon Platts, Hyun Myung, Junmo Kim, Jong-Hwan Kim, 2021-09-05 This book gathers the Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications (RITA 2020). The areas covered include: Instrumentation and Control, Automation, Autonomous Systems, Biomechatronics and Rehabilitation Engineering, Intelligent Systems, Machine Learning, Mobile Robotics, Social Robotics and Humanoid Robotics, Sensors and Actuators, and Machine Vision, as well as Signal and Image Processing. As a valuable asset, the book offers researchers and practitioners a timely overview of the latest advances in robot intelligence technology and its applications. |
caption generator for business: Digital Histories Mats Fridlund, Mila Oiva, Petri Paju, 2020-12-07 Historical scholarship is currently undergoing a digital turn. All historians have experienced this change in one way or another, by writing on word processors, applying quantitative methods on digitalized source materials, or using internet resources and digital tools. Digital Histories showcases this emerging wave of digital history research. It presents work by historians who – on their own or through collaborations with e.g. information technology specialists – have uncovered new, empirical historical knowledge through digital and computational methods. The topics of the volume range from the medieval period to the present day, including various parts of Europe. The chapters apply an exemplary array of methods, such as digital metadata analysis, machine learning, network analysis, topic modelling, named entity recognition, collocation analysis, critical search, and text and data mining. The volume argues that digital history is entering a mature phase, digital history ‘in action’, where its focus is shifting from the building of resources towards the making of new historical knowledge. This also involves novel challenges that digital methods pose to historical research, including awareness of the pitfalls and limitations of the digital tools and the necessity of new forms of digital source criticisms. Through its combination of empirical, conceptual and contextual studies, Digital Histories is a timely and pioneering contribution taking stock of how digital research currently advances historical scholarship. |
caption generator for business: The Dream That Died Raymond Fitzwalter, 2008 This title presents a unique insider account of the rise and fall of ITV, as seen through the fate of Granada Television, and the ripple effect on the standard of broadcasting we see on our screens today. It is the unfolding of the story of 25 years, in which The best broadcasting system in the world was turned into Ignorance and self-interest, the idiocy and feeble mindedness that is 21st century ITV. It is a book based on more than 90 exclusive interviews with key players who had their hands on the money, and the power, behind commercial television, but who saw politicians, businessmen and broadcasters convert high quality public service broadcasting into a ratings driven commercial wasteland, undermining the BBC and Channel 4. Accompanied by a collection of original photographs, The Dream That Died is essential for anyone involved in, or learning about, the broadcasting industry. |
caption generator for business: AGC 2023 Suparna Dhar, Sanjay Goswami, U. Dinesh Kumar, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar, 2024-01-03 This book constitutes the refereed proceedings of the 1st Analytics Global Conference, AGC 2023, held in Kolkata, India, in April 2023. The AGC conference sought to facilitate industry-academia interfacing in the domain of machine learning and artificial intelligence. The 11 full papers presented in these proceedings were carefully reviewed and selected from 36 submissions. The papers are organized in the two topical sections: Applications of Analytics in Business and Machine Learning & Deep Learning and Text Analytics. |
caption generator for business: Personalized Machine Learning Julian McAuley, 2022-02-03 Explains methods behind machine learning systems to personalize predictions to individual users, from recommendation to dating and fashion. |
caption generator for business: Artificial Whiteness Yarden Katz, 2020-11-17 Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies. |
caption generator for business: Experimental IR Meets Multilinguality, Multimodality, and Interaction Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Anastasia Giachanou, Dan Li, Mohammad Aliannejadi, Michalis Vlachos, Guglielmo Faggioli, Nicola Ferro, 2023-09-10 This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18–21, 2023. The 10 full papers and one short paper included in this book were carefully reviewed and selected from 35 submissions. The conference focuses on authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on children’s conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction. In addition to this, the volume presents 7 “Best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 13 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access. |
caption generator for business: Visual Education , 1975 Beginning with 195 one monthly issue called Visual aids yearbook. |
caption generator for business: Official Gazette of the United States Patent and Trademark Office , 1999 |
caption generator for business: Folklife Center News , 1978 |
caption generator for business: Modern Technology and Communication Prof. Dr. Sedat CERECİ, 2020-12-15 |
caption generator for business: Winning the Global TV News Game Johnston Carla Brooks, 2023-12-22 Winning the Global TV News Game (1995) examines the worldwide TV news revolution of the 1990s, dealing with live TV news as an industry–consumer relationship. It’s a marketing approach – focusing on regional markets across the globe, looking at industry players and the hardware they had put in place. Much of this analysis is told by leading news media professionals who describe the latest thinking and newest developments in their own words. |
caption generator for business: Imperial Brass MFG. Company V. Hackney , 1934 |
caption generator for business: Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough Vinit Kumar Gunjan, Jacek M. Zurada, Balasubramanian Raman, G. R. Gangadharan, 2020-02-04 This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems. |
caption generator for business: How to Get Into Television Radio and New Media Mike Hollingsworth, 2004-10-01 *One-stop guide to everything one needs to know to break into Television, Radio, and Newmedia This book is a one stop resource for anyone aiming for the highly sought after jobs in television and radio. It explains exactly what a prospective employee needs to know: how the media industries work, what range of jobs is available and what each job entails, and what one needs to do to land the job of your choice. *Also available: How to Get Into Marketing and PR |
caption generator for business: Deep Learning Models And Applications Nidhi Sharma, M Balamurugan, Jamal Ahmed, Harish Nayak.G.H, 2022-11-17 Without a doubt, neural networks are one of the most elegant forms of computer programming. The traditional method of programming is providing explicit instructions to the computer and dividing complex problems into manageable subtasks. In contrast, we don't instruct the computer how to solve our issue in a neural network. Instead, it takes in facts and figures out how to solve the issue on its own via observational learning. This book will teach you the fundamentals of neural networks and cutting-edge deep learning methods. By the end of the book, you'll have used deep learning and neural networks in your own code to address challenging pattern recognition issues. Further, you'll know enough to apply neural networks and deep learning to your own issues. Readers should have some background in machine learning, statistics, or a similar field. This book is an ideal textbook for advanced undergraduate and graduate level machine learning courses, as well as a useful reference for those attending a research seminar. |
caption generator for business: Computer Networks and Inventive Communication Technologies S. Smys, Robert Bestak, Ram Palanisamy, Ivan Kotuliak, 2021-09-13 This book is a collection of peer-reviewed best-selected research papers presented at 4th International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2021). The book covers new results in theory, methodology, and applications of computer networks and data communications. It includes original papers on computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings of this conference are a valuable resource, dealing with both the important core and the specialized issues in the areas of next-generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advanced work in the area. |
caption generator for business: Re-visioning Television Adrian Hadland, Mike Aldridge, Joshua Ogada, 2006 Publisher description |
caption generator for business: Industrial Photography , 1974 |
caption generator for business: Commerce Business Daily , 1998-03 |
caption generator for business: Human-Computer Interaction – INTERACT 2021 Carmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda, Kori Inkpen, 2021-08-25 The five-volume set LNCS 12932-12936 constitutes the proceedings of the 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021, held in Bari, Italy, in August/September 2021. The total of 105 full papers presented together with 72 short papers and 70 other papers in these books was carefully reviewed and selected from 680 submissions. The contributions are organized in topical sections named: Part I: affective computing; assistive technology for cognition and neurodevelopment disorders; assistive technology for mobility and rehabilitation; assistive technology for visually impaired; augmented reality; computer supported cooperative work. Part II: COVID-19 & HCI; croudsourcing methods in HCI; design for automotive interfaces; design methods; designing for smart devices & IoT; designing for the elderly and accessibility; education and HCI; experiencing sound and music technologies; explainable AI. Part III: games and gamification; gesture interaction; human-centered AI; human-centered development of sustainable technology; human-robot interaction; information visualization; interactive design and cultural development. Part IV: interaction techniques; interaction with conversational agents; interaction with mobile devices; methods for user studies; personalization and recommender systems; social networks and social media; tangible interaction; usable security. Part V: user studies; virtual reality; courses; industrial experiences; interactive demos; panels; posters; workshops. The chapter ‘Stress Out: Translating Real-World Stressors into Audio-Visual Stress Cues in VR for Police Training’ is open access under a CC BY 4.0 license at link.springer.com. The chapter ‘WhatsApp in Politics?! Collaborative Tools Shifting Boundaries’ is open access under a CC BY 4.0 license at link.springer.com. |
caption generator for business: SMPTE Journal Society of Motion Picture and Television Engineers, 1994 |
caption generator for business: Deep Learning for Natural Language Processing Jason Brownlee, 2017-11-21 Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another. In this new laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about natural language processing. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects. |
caption generator for business: Journal of Electricity , 1903 |
caption generator for business: Electrical West , 1903 |
caption generator for business: Electrical Journal , 1903 |
caption generator for business: Journal of Electricity and Western Industry , 1903 |
caption generator for business: Journal of Electricity, Power, and Gas , 1903 |
caption generator for business: Video Camcorder School Malcolm Squires, 1992 Provides step-by-step instruction on the principles, techniques, and tricks involved in producing creative, professional looking videos, discussing basic set-ups, rules of filming, tips for adding finishing touches, and including eleven projects on popular video themes. |
caption generator for business: Model Rules of Professional Conduct American Bar Association. House of Delegates, Center for Professional Responsibility (American Bar Association), 2007 The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts. |
caption generator for business: Data Science and Network Engineering Suyel Namasudra, Munesh Chandra Trivedi, Ruben Gonzalez Crespo, Pascal Lorenz, 2023-11-02 This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2023) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 21–22, 2023. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering. |
Social Media Ready Caption Generation for Brands
The caption generator module takes primary captions, personalities, possibly other user-specific elements. This module supports GPT* for zero/few-shot scenarios and open-source LLM for …
Image Caption Generator
The ultimate purpose of Image caption generator is to make user’s experience better by generating automated captions. We can use this in image indexing, for visually impaired …
IEEE Paper Template in A4 (V1) - ResearchGate
This research paper introduces the use of an auto image caption generator that is based on Artificial Intelligence and the methodologies used in order to develop such applications.
IMAGE CAPTION GENERATOR: AUTOMATED IMAGE …
In this paper, we present different image caption- generating models based on deep neural networks, focusing on the various RNN techniques and analyzing their influence on sentence …
Image Caption Generator using CNN-LSTM - IRJET
This paper includes the implementation of Automatic Caption Generator using CNN and RNN-LSTM models. It combines recent studies of machine translation as well as computer vision.
AUTOMATIC IMAGE CAPTION GENERATION USING DEEP …
Compare the performance of your Image Caption Generator with baseline models or existing deep learning-based methods. Discuss any significant improvements achieved and their …
Image Captioning Generator Using Machine Learning
This project demonstrates how deep machine learning can be used to create a caption or a sentence for a given picture. This can be used for visually impaired persons, as well as …
IMAGE CAPTION AND SPEECH GENERATION USING LSTM …
The main objective of this project is to create image caption and speech generator. When a user provides an image, the model processes the image and generates the description for the given …
Image Caption Generator with Multilingual Captioning
Story Lens is an AI-powered application that not only generates captions for images but also creates multilingual stories based on the elements present in the images. It is ideal for social …
Visual Image Caption Generator Using Deep Learning - SSRN
In this paper, we present different image caption generating models based on deep neural networks, focusing on the various RNN techniques and analyzing their influence on the …
Image Caption Generator Using CNN and
Image caption generator provides an appropriate title for an applied input image based on the dataset. The present work proposes a model based on deep learning and utilizes it to generate …
Image Caption Generator using Big Data and Machine Learning
In this paper, A.L systematically analyze a deep neural networks based image caption generation method. Here an image is given as the input, and the method as output in the form of sentence …
Image Caption Generator - Atlantis Press
Image caption generator involves de-scribing the characteristics, attributes of the image. It has a plenty of applications in the field of Robotic vision, story-telling from album uploads, business …
Image Caption Generator using Deep Learning - IJARSCT
In this paper, we present different image caption generating models based on deep neural networks, focusing on the various CNN techniques and analyzing their influence on the …
Image Caption Generator Using DenseNet201 and ResNet50
Abstract—Image Caption generation is an important research area in computer vision and natural language processing. This paper compares two popular Convolutional Neural Network (CNN) …
IMAGE CAPTION GENERATOR USING DEEP LEARNING - IRJET
Generating a caption is a problem under artificial intelligence where meaningful sentence is generated for a given input image. Includes a model from NLP (Natural Language Processing) …
Image Caption Generator using Deep Learning Approach
Most methods use transfer learning to extract visual information, in the form of image features, with the help of pre-trained Convolutional Neural Network models followed by transformation of …
Image Caption Generator Using Transformers
Generate captions by employing techniques like beam search or sampling to decode the output probabilities into sentences. The face recognition module is developed using OpenCV and …
IMAGE CAPTION GENERATOR USING RESNET50 AND LSTM
Image captioning involves generating textual descriptions or sentences to describe the contents of image. The goal of picture captioning to describe or identify the things that are seen in image …
Image Caption Generator Using Deep Learning Approach
Image caption generation is a task that involves image processing and natural language processing concept to detect the context of an image and describe them in natural language. …
Social Media Ready Caption Generation for Brands
The caption generator module takes primary captions, personalities, possibly other user-specific elements. This module supports …
Image Caption Generator
The ultimate purpose of Image caption generator is to make user’s experience better by generating automated captions. We can …
IEEE Paper Template in A4 (V1) - ResearchGate
This research paper introduces the use of an auto image caption generator that is based on Artificial Intelligence and the …
IMAGE CAPTION GENERATOR: AUTOMATED IMAGE CAPTIONIN…
In this paper, we present different image caption- generating models based on deep neural networks, focusing on the various …
Image Caption Generator using CNN-LSTM - IRJET
This paper includes the implementation of Automatic Caption Generator using CNN and RNN-LSTM models. It combines recent …