Machine learning

Modern life is increasingly relying on digital technology, which in turn runs on mathematics.

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development.

This volumes presents the proceedings of the FASMI 2020 conference, held at Taipei Veterans General Hospital on November 20-22, 2020.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020.

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020.

This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and the 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, which were held virtually on August 31 and September 4, 2020.

This book constitutes the refereed proceedings of the 32nd Australasian Database Conference, ADC 2021, held in Dunedin, New Zealand, in January/February 2021.

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020.

The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime.

Daten sind das neue Gold - und neuronale Netze haben bereits einigen Unternehmen geholfen, diesen Schatz auszugraben.

This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios.

Dieses essential befasst sich mit Anwendungen des maschinellen Lernens in verschiedenen Bereichen der Naturwissenschaften.

Changsheng Hua proposes two approaches, an input/output recovery approach and a performance index-based approach for robustness and performance optimization of feedback control systems.

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, "e;Society 5.

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning.

Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications.

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering.

This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level.

This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.

This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19-20, 2022.

Text analytics (TA) covers a very wide research area.

This book comprises the best deliberations with the theme "e;Machine Learning Technologies and Applications"e; in the "e;International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020),"e; organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology.

Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering.

This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics.

This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes.

This volume contains select papers presented during the 4th  National Conference on Multidisciplinary Analysis and Optimization.

This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery.

This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications (ICBMA 2019) held at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during 29-31 May 2020.

This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially  as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning.

This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change.

This book highlights selected papers from the Mechanical Engineering track, with a focus on mechatronics and manufacturing, presented at the "e;Malaysian Technical Universities Conference on Engineering and Technology"e; (MUCET 2019).

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16-17 August 2019.

This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 - 27 December 2021.

This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 - 22, 2021, at Goa, India.

This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India.

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27-28 December, 2021.

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis.

The book is a collection of best selected research papers presented at International Conference on Smart Technology for Power and Green Energy (STPGE 2022), organized by School of Electrical Engineering, KIIT, Deemed to be University, Bhubaneswar, India, during February 12 - 13,  2022.

This book intends to report the new results of the efforts on the study of Layered Intelligence of the Machine Brain (LIMB).

This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture.

This book is as an extension of previous book "e;Computer Vision and Machine Learning in Agriculture"e; for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms.

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience.

This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications.

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things.

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications.

Machine learning heavily relies on optimization algorithms to solve its learning models.

This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT.

This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences.