Download or read book Broad Learning Through Fusions written by Jiawei Zhang and published by Springer. This book was released on 2019-06-08 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Download or read book Integrating Artificial Intelligence and Machine Learning with Blockchain Security written by D. Jeya Mala and published by Cambridge Scholars Publishing. This book was released on 2023-09-13 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology. In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.
Download or read book Textual Emotion Classification Using Deep Broad Learning written by Sancheng Peng and published by Springer Nature. This book was released on with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning for Transportation Research and Applications written by Yinhai Wang and published by Elsevier. This book was released on 2023-04-19 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. - Introduces fundamental machine learning theories and methodologies - Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge - Includes case studies or examples in each chapter that illustrate the application of methodologies andtechniques for solving transportation problems - Provides practice questions following each chapter to enhance understanding and learning - Includes class projects to practice coding and the use of the methods
Download or read book Cognitive Systems and Information Processing written by Fuchun Sun and published by Springer Nature. This book was released on 2023-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023, held in Luoyang, China, during August 10–12, 2023. The 52 full papers presented in these proceedings were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: Volume I : Award; Algorithm & Control; and Application. Volume II: Robotics & Bioinformatics; and Vision.
Download or read book Data Fusion Techniques and Applications for Smart Healthcare written by Amit Kumar Singh and published by Elsevier. This book was released on 2024-03-12 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, x-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI. Another typical source of variability is the existence of data from different time points, such as pre and post treatment, for instance. These large and highly diverse amounts of information need to be organized and mined in an appropriate way so that meaningful information can be extracted. New multimodal data fusion techniques are able to combine salient information into one single source to ensure better diagnostic accuracy and assessment. Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. This book can be used as a reference for practicing engineers, scientists, and researchers. It will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications. - Presents broad coverage of applied case studies using data fusion techniques to mine, organize, and interpret medical data - Investigates how data fusion techniques offer a new solution for dealing with massive amounts of medical data coming from diverse sources and multiple formats - Focuses on identifying challenges, solutions, and new directions that will be useful for graduate students, researchers, and practitioners from government, academia, industry, and healthcare
Download or read book Social Computing with Artificial Intelligence written by Xun Liang and published by Springer Nature. This book was released on 2020-09-16 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data processing to advanced social network computing. To broaden readers’ understanding of the topics addressed, it includes extensive data and a large number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining, artificial intelligence algorithms in social computing, and several key applications of social computing application, and also discusses network propagation mechanisms and dynamic analysis, which provide useful insights into how information is disseminated in online social networks. This book is intended for readers with a basic knowledge of advanced mathematics and computer science.
Download or read book Emotion Recognition and Understanding for Emotional Human Robot Interaction Systems written by Luefeng Chen and published by Springer Nature. This book was released on 2020-11-13 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems. Aiming at the development needs of emotional robots and emotional human–robot interaction (HRI) systems, this book introduces basic concepts, system architecture, and system functions of affective computing and emotional robot systems. With the professionalism of this book, it serves as a useful reference for engineers in affective computing, and graduate students interested in emotion recognition and intention understanding. This book offers the latest approaches to this active research area. It provides readers with the state-of-the-art methods of multimodal emotion recognition, intention understanding, and application examples of emotional HRI systems.
Download or read book e Learning e Education and Online Training written by Weina Fu and published by Springer Nature. This book was released on 2023-03-08 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set, LNICST 453 and 454 constitutes the proceedings of the 8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022, held in Harbin, China, in July 2022. The 111 papers presented in this volume were carefully reviewed and selected from 226 submissions. This conference has brought researchers, developers and practitioners around the world who are leveraging and developing e-educational technologies as well as related learning, training, and practice methods. The theme of eLEOT 2022 was “New Trend of Information Technology and Artificial Intelligence in Education”. They were organized in topical sections as follows: IT promoted Teaching Platforms and Systems; AI based Educational Modes and Methods; Automatic Educational Resource Processing; Educational Information Evaluation.
Download or read book Application of Intelligent Systems in Multi modal Information Analytics written by Vijayan Sugumaran and published by Springer Nature. This book was released on 2022-06-13 with total page 1132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.
Download or read book Computational Data and Social Networks written by Andrea Tagarelli and published by Springer Nature. This book was released on 2019-11-11 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019. The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; Influence Modeling, Propagation, and Maximization; NLP and Affective Computing; Computational Methods for Social Good; and User Profiling and Behavior Modeling.
Download or read book Federated Learning written by Heiko Ludwig and published by Springer Nature. This book was released on 2022-07-07 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners. Federated Learning (FL) is an approach to machine learning in which the training data are not managed centrally. Data are retained by data parties that participate in the FL process and are not shared with any other entity. This makes FL an increasingly popular solution for machine learning tasks for which bringing data together in a centralized repository is problematic, either for privacy, regulatory or practical reasons. This book explains recent progress in research and the state-of-the-art development of Federated Learning (FL), from the initial conception of the field to first applications and commercial use. To obtain this broad and deep overview, leading researchers address the different perspectives of federated learning: the core machine learning perspective, privacy and security, distributed systems, and specific application domains. Readers learn about the challenges faced in each of these areas, how they are interconnected, and how they are solved by state-of-the-art methods. Following an overview on federated learning basics in the introduction, over the following 24 chapters, the reader will dive deeply into various topics. A first part addresses algorithmic questions of solving different machine learning tasks in a federated way, how to train efficiently, at scale, and fairly. Another part focuses on providing clarity on how to select privacy and security solutions in a way that can be tailored to specific use cases, while yet another considers the pragmatics of the systems where the federated learning process will run. The book also covers other important use cases for federated learning such as split learning and vertical federated learning. Finally, the book includes some chapters focusing on applying FL in real-world enterprise settings.
Download or read book Lemons written by Melissa D. Savage and published by Crown Books For Young Readers. This book was released on 2017 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: After her mother dies in 1975, ten-year-old Lemonade must live with her grandfather in a small town famous for Bigfoot sitings and soon becomes friends with Tobin, a quirky Bigfoot investigator.
Download or read book Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Download or read book Advances in Intelligent Information Hiding and Multimedia Signal Processing written by Shu-Chuan Chu and published by Springer Nature. This book was released on 2022-07-05 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected papers from the 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, held on October 29 – 31, 2021, in Kaohsiung, Taiwan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and Internet of things, and their applications.
Download or read book Innovation through Fusion written by CJ Meadows and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-01-20 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Just as nuclear fusion produces massive energy from combining two nuclei, a fusion in business, technology, and the arts can release massive value—creating whole new companies, industries, and human capabilities. Examples of the fusion technique for high-value, radical innovation are presented in this unique collection of stories about innovating across industries, fields, organizational silos, nations, social class, and more. This book is the result of a global research study of 30 world-class innovators who have collectively created billions of dollars’ worth of business value, as well as new advances in the arts and sciences that bring joy to the world and can save millions of lives. Insights from the journeys of the innovators provided in this book will help leaders, organizations, and individuals succeed in their innovative endeavors. In addition, each chapter provides a link to a short video that provides further insights, mostly from the innovators themselves. Innovation through Fusion is essential reading for individual innovators who would like to create the future; teams and organizations that need to craft radical or high-value innovations (especially across industries or organizational silos); and leaders concerned about declining returns on innovation efforts and uncertain about organizational survival in a disruptive world. The author provides a new model of lateral innovation—useful both as an innovation process and as a framework to assess your lateral innovation capabilities. The book is replete with value-creation examples of lives saved, billions of dollars of savings/growth, and new products, services, and companies, as well as stories of leading lateral innovators—who they are and how they succeeded. For the author’s talk on Fusion at EmTech Asia/MIT Technology Review, featured in Asian Scientist magazine, click here: https://www.asianscientist.com/2019/04/features/ipi-singapore-emtech-asia-cj-meadows-innovation/ For a review of the book on YourStory, click here: https://yourstory.com/2021/02/fusion-innovation-entrepreneurs-business-value-social-impact?utm_pageloadtype=scroll
Download or read book Shaping the Future of Business Education written by G. Hardy and published by Springer. This book was released on 2015-12-04 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world economy where rapid change is the only constant, what is the best way for business schools to prepare the leaders of tomorrow? The authors of this volume argue that a broad and rigorous education is needed; one that fuses business knowledge with arts and sciences, technology, and ethical training.
