Handbook Of Research On Computer Vision And Image Processing In The Deep Learning Era
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| Author | : Srinivasan, A. |
| Publisher | : IGI Global |
| Total Pages | : 467 |
| Release | : 2022-10-21 |
| Genre | : Computers |
| ISBN | : 1799888940 |
In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.
| Author | : Sarfraz, Muhammad |
| Publisher | : IGI Global |
| Total Pages | : 391 |
| Release | : 2014-04-30 |
| Genre | : Computers |
| ISBN | : 1466660317 |
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
| Author | : Keikhosrokiani, Pantea |
| Publisher | : IGI Global |
| Total Pages | : 395 |
| Release | : 2022-12-30 |
| Genre | : Computers |
| ISBN | : 1668462443 |
Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. The Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
| Author | : Thomas, J. Joshua |
| Publisher | : IGI Global |
| Total Pages | : 315 |
| Release | : 2023-08-25 |
| Genre | : Computers |
| ISBN | : 1668498057 |
Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training and serving of machine learning models, reduce time and costs, and address bottlenecks in the system during concurrent model training and inference. The book covers various topics related to distributed machine learning such as data parallelism, model parallelism, and hybrid parallelism. Readers will learn about cutting-edge parallel techniques for serving and training models such as parameter server and all-reduce, pipeline input, intra-layer model parallelism, and a hybrid of data and model parallelism. The book is suitable for machine learning professionals, researchers, and students who want to learn about distributed machine learning techniques and apply them to their work. This book is an essential resource for advancing knowledge and skills in artificial intelligence, deep learning, and high-performance computing. The book is suitable for computer, electronics, and electrical engineering courses focusing on artificial intelligence, parallel computing, high-performance computing, machine learning, and its applications. Whether you're a professional, researcher, or student working on machine and deep learning applications, this book provides a comprehensive guide for creating distributed machine learning, including multi-node machine learning systems, using Python development experience. By the end of the book, readers will have the knowledge and abilities necessary to construct and implement a distributed data processing pipeline for machine learning model inference and training, all while saving time and costs.
| Author | : Baby Maruthi, Puvvadi |
| Publisher | : IGI Global |
| Total Pages | : 473 |
| Release | : 2023-12-18 |
| Genre | : Computers |
| ISBN | : 1668485338 |
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
| Author | : Srivastava, Pramod Kumar |
| Publisher | : IGI Global |
| Total Pages | : 327 |
| Release | : 2024-04-16 |
| Genre | : Computers |
| ISBN | : |
In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development.
| Author | : Ashok Kumar, L. |
| Publisher | : IGI Global |
| Total Pages | : 313 |
| Release | : 2022-12-09 |
| Genre | : Computers |
| ISBN | : 1668460033 |
Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.
| Author | : Kevin Daimi |
| Publisher | : Springer Nature |
| Total Pages | : 670 |
| Release | : 2023-05-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3031337433 |
This book includes recent research on Data Science, IoT, Smart Cities and Smart Energy, Health Informatics, and Network Security. The International Conference on Advances in Computing Research (ACR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the advances in computing technologies. The conference is aptly segmented into six tracks to promote a birds-of-the-same-feather congregation and maximize participation. The first track covers computational intelligence, which include, among others, research topics on artificial intelligence, knowledge representation and management, application and theory of neural systems, fuzzy and expert systems, and genetic algorithms. The second track focuses on cybersecurity engineering. It includes pertinent topics such as incident response, hardware and network security, digital biometrics and forensics technologies, and cybersecurity metrics and assessment. Further, it features emerging security technologies and high-tech systems security. The third track includes studies on data analytics. It covers topics such as data management, statistical and deep analytics, semantics and time series analytics, and a multitude of important applications of data analytics in areas such as engineering, health care, business, and manufacturing. The fourth track on network and communications covers a wide range of topics in both areas including protocols and operations, ubiquitous networks, ad hoc and sensor networks, cellular systems, virtual and augmented reality streaming, information centric networks, and the emerging areas in connected and autonomous vehicle communications. Lastly, the final track on cloud and mobile computing includes areas of interest in cloud computing such as infrastructure, service, management and operations, architecture, and interoperability and federation. This track also includes important topics in mobile computing such as services and applications, communication architectures, positioning and tracking technologies, the general applications of mobile computing.
| Author | : Valle-Cruz, David |
| Publisher | : IGI Global |
| Total Pages | : 461 |
| Release | : 2022-09-16 |
| Genre | : Political Science |
| ISBN | : 1668456257 |
Artificial intelligence (AI) and robotics have boomed in the 21st century. These emerging and disruptive technologies are immersed in our lives, from apps in mobile devices, the purchases we make on the internet streaming platforms, and even court decisions and predictive policing. Together with science and certain needs, relevant implementations of AI and robotics arise, related to its transparency, resulting in biases, the kinds of applications that can be implemented, and the degree of workforce replacement in decision-making assistance. It is essential to analyze the widely used AI techniques, the application of these technologies in different sectors, the implications of AI and robotics on society and welfare, and more. The Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes presents state-of-the-art research on AI and robotics in different fields of knowledge, its benefits, applications, and implications. It features chapters containing theoretical and practical research that analyzes the transparency and expandability of AI in different fields, as well as the analysis of unexpected results, biases, and cases of discrimination. Covering topics such as criminal intelligence, artificial intelligence-based chatbots, and gender violence, this major reference work is an excellent resource for government officials, practitioners in the public sector, business administrators and managers, IT professionals, law enforcement, federal agencies, students and faculty of higher education, researchers, and academicians.
| Author | : Satya Prakash Yadav |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 398 |
| Release | : 2024-09-23 |
| Genre | : Science |
| ISBN | : 3111435970 |
The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus on analysing and articulating proven and potential security measures to tightly secure Medical Image applications and services, which are being hosted and delivered through cloud infrastructures and platforms. This book will illustrate the prominent advancements in image processing and how intelligent image-processing techniques can be developed and deployed in the industrial market and for academicians. The readers will get to know all the right and relevant details to be empowered to successfully contribute to their personal and professional growth. The main focus of this book is to bring all the related technologies, novel findings, and managerial applications of Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to Researchers in Medical Engineers, Machine Learning and Data Analysis.
