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2021 Ieee 2nd International Conference On Pattern Recognition And Machine Learning Prml
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Book Synopsis 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML) by : IEEE Staff
Download or read book 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML) written by IEEE Staff and published by . This book was released on 2021-07-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: PRML is an annual conference which aims to present the latest research and results of scholars and experts related to Pattern Recognition and Machine Learning This conference provides opportunities for delegates from different areas to exchange new ideas, applications and experiences face to face, to establish business or research relations, and to find global partners for future collaboration We hope that the conference results in significant contributions to the knowledge base in these scientific fields
Book Synopsis Pattern Recognition and Computer Vision by : Zhouchen Lin
Download or read book Pattern Recognition and Computer Vision written by Zhouchen Lin and published by Springer Nature. This book was released on with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Vision, Imaging and Computer Graphics Theory and Applications by : A. Augusto de Sousa
Download or read book Computer Vision, Imaging and Computer Graphics Theory and Applications written by A. Augusto de Sousa and published by Springer Nature. This book was released on with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3 by : Kohei Arai
Download or read book Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3 written by Kohei Arai and published by Springer Nature. This book was released on with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Intelligent Computing Technology and Applications by : De-Shuang Huang
Download or read book Advanced Intelligent Computing Technology and Applications written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forthcoming Networks and Sustainability in the AIoT Era by : Jawad Rasheed
Download or read book Forthcoming Networks and Sustainability in the AIoT Era written by Jawad Rasheed and published by Springer Nature. This book was released on with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fuzzy Systems and Data Mining VII by : C. Shen
Download or read book Fuzzy Systems and Data Mining VII written by C. Shen and published by IOS Press. This book was released on 2021-11-04 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy systems and data mining are indispensible aspects of the computer systems and algorithms on which the world has come to depend. This book presents papers from FSDM 2021, the 7th International Conference on Fuzzy Systems and Data Mining. The conference, originally due to take place in Seoul, South Korea, was held online on 26-29 October 2021, due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This year, the committee received 266 submissions, and this book contains 52 papers, including keynotes and invited presentations, oral and poster contributions. The papers cover four main areas: 1) fuzzy theory, algorithms and systems – including topics like stability; 2) fuzzy applications – which are widely used and cover various types of processing as well as hardware and architecture for big data and time series; 3) the interdisciplinary field of fuzzy logic and data mining; and 4) data mining itself. The topic most frequently addressed this year is fuzzy systems. The book offers an overview of research and developments in fuzzy logic and data mining, and will be of interest to all those working in the field of data science.
Book Synopsis Intelligent Communication Technologies and Virtual Mobile Networks by : G. Rajakumar
Download or read book Intelligent Communication Technologies and Virtual Mobile Networks written by G. Rajakumar and published by Springer Nature. This book was released on 2022-07-19 with total page 807 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality research papers presented at Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), held at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India, during February 10–11, 2022. The book shares knowledge and results in theory, methodology and applications of communication technology and mobile networks. The book covers innovative and cutting-edge work of researchers, developers and practitioners from academia and industry working in the area of computer networks, network protocols and wireless networks, data communication technologies and network security.
Book Synopsis Advances in Smart Medical, IoT & Artificial Intelligence by : Mohammed Serrhini
Download or read book Advances in Smart Medical, IoT & Artificial Intelligence written by Mohammed Serrhini and published by Springer Nature. This book was released on with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Human-Centred Computer Audition: Sound, Music, and Healthcare by : Kun Qian
Download or read book Human-Centred Computer Audition: Sound, Music, and Healthcare written by Kun Qian and published by Frontiers Media SA. This book was released on 2023-12-29 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Sage Handbook of Human Resource Development by : Tonette S. Rocco
Download or read book The Sage Handbook of Human Resource Development written by Tonette S. Rocco and published by SAGE Publications Limited. This book was released on 2024-08-30 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Sage Handbook of Human Resource Development offers a comprehensive exploration of the evolving landscape of HRD, serving as both an orientation to the profession and an analytical examination of HRD as a field of study and research. The handbook addresses key questions, such as the state of HRD globally, its changes over the past decade, and the foundational philosophies and values shaping research and practice in HRD. Across eight sections, the handbook covers foundational aspects, theoretical influences, learning and workforce development, talent and career development, leadership and organizational development, diversity, equity, inclusion, and belonging, technology-enhanced HRD, and emerging issues and future directions. Each section provides insights into diverse topics ranging from workplace learning, action learning, and employee engagement to social media, artificial intelligence, and future trends. With contributions from scholars across the globe, the handbook reflects the global nature of HRD, making it applicable to academic programs worldwide. Designed for academics, graduate students, HR leaders, executives, managers, and consultants, this handbook stands out with its diverse perspectives and insights, making it an indispensable guide for those seeking a deep understanding of the dynamic field of Human Resource Development. A.FOUNDATIONS OF THE DISCIPLINE OF HRD B.THEORETICAL INFLUENCES ON HRD C.LEARNING AND WORKFORCE DEVELOPMENT D. TALENT AND CAREER DEVELOPMENT E. LEADERSHIP AND ORGANIZATIONAL DEVELOPMENT F. DIVERSITY, EQUITY, INCLUSION, AND BELONGING G. TECHNOLOGY ENHANCED HUMAN RESOURCE DEVELOPMENT H. EMERGING ISSUES AND FUTURE DIRECTIONS
Book Synopsis Pattern Recognition and Machine Learning by : Christopher M. Bishop
Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Book Synopsis Big Data Analytics by : Ladjel Bellatreche
Download or read book Big Data Analytics written by Ladjel Bellatreche and published by Springer Nature. This book was released on 2021-01-02 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December 15-18, 2020, in Sonepat, India. The 11 full and 3 short papers included in this volume were carefully reviewed and selected from 48 submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics.
Book Synopsis Road Vehicle Automation by : Gereon Meyer
Download or read book Road Vehicle Automation written by Gereon Meyer and published by Springer. This book was released on 2014-06-07 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume covers all relevant aspects of road vehicle automation including societal impacts, legal matters, and technology innovation from the perspectives of a multitude of public and private actors. It is based on an expert workshop organized by the Transportation Research Board at Stanford University in July 2013. The target audience primarily comprises academic researchers, but the book may also be of interest to practitioners and professionals. Higher levels of road vehicle automation are considered beneficial for road safety, energy efficiency, productivity, convenience and social inclusion. The necessary key technologies in the fields of object-recognition systems, data processing and infrastructure communication have been consistently developed over the recent years and are mostly available on the market today. However, there is still a need for substantial research and development, e.g. with interactive maps, data processing, functional safety and the fusion of different data sources. Driven by stakeholders in the IT industry, intensive efforts to accelerate the introduction of road vehicle automation are currently underway.
Book Synopsis Deep Learning-Powered Technologies by : Khaled Salah Mohamed
Download or read book Deep Learning-Powered Technologies written by Khaled Salah Mohamed and published by Springer Nature. This book was released on 2023-06-23 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.
Book Synopsis Metaheuristics in Water, Geotechnical and Transport Engineering by : Xin-She Yang
Download or read book Metaheuristics in Water, Geotechnical and Transport Engineering written by Xin-She Yang and published by Newnes. This book was released on 2012-09 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation Develops new hybrid and advanced methods suitable for civil engineering problems at all levels Appropriate for researchers and advanced students to help to develop their work
Book Synopsis Structural Pattern Recognition with Graph Edit Distance by : Kaspar Riesen
Download or read book Structural Pattern Recognition with Graph Edit Distance written by Kaspar Riesen and published by Springer. This book was released on 2018-03-30 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). The book also provides a detailed review of a diverse selection of novel methods related to GED, and concludes by suggesting possible avenues for future research. Topics and features: formally introduces the concept of GED, and highlights the basic properties of this graph matching paradigm; describes a reformulation of GED to a quadratic assignment problem; illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem; reviews strategies for reducing both the overestimation of the true edit distance and the matching time in the approximation framework; examines the improvement demonstrated by the described algorithmic framework with respect to the distance accuracy and the matching time; includes appendices listing the datasets employed for the experimental evaluations discussed in the book.
