Machine learning

This book highlights contemporary state of research in multidisciplinary areas in computer science, computer engineering, chemical engineering, mechanical engineering, physics, biomedical sciences, life sciences, medicine, and health care.

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

This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques.

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.

Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.

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 investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering problems, assessing its potential to replace traditional numerical solvers in real-time forecast scenarios.

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc.

Deep Learning models are at the core of artificial intelligence research today.

The book discusses various aspects of biophysics.

This book aims to solve some key problems in the decision and optimization procedure for power market organizers and participants in data-driven approaches.

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems.

This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15-16 April 2021.

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software.

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 systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework.

The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes.

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods.

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks.

This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain.

This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by Department of Applied Mathematics, Gautam Buddha University, Greater Noida in collaboration with IIT Roorkee and Technical University of Ostrava (VSB-TU) and technically sponsored by Soft Computing Research Society of India, held online during 5 - 6 February 2021.

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

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

This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7-8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India.

This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18-19, 2020.

This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data.

This book discusses various aspects of text data mining.

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life.

Many AI (and machine learning) tasks present in dual forms, e.

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 presents applications of machine learning techniques in processing multimedia large-scale data.

This edited book provides an optimal portrayal of the principles and applications related to network security.

This book highlights reliable, valid and practical testing and assessment of interpreting, presenting important developments in China, where testing and assessment have long been a major concern for interpreting educators and researchers, but have remained largely under-reported.

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

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

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 discusses the smooth integration of optical and RF networks in 5G and beyond (5G+) heterogeneous networks (HetNets), covering both planning and operational aspects.

This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing.

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 highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization.

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning.

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.

This book features selected research papers presented at the First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019), organized by Northwest Group of Institutions, Punjab, India, Southern Federal University, Russia, and IAC Educational Trust, India along with KEC, Ghaziabad and ITS, College Ghaziabad as an academic partner and held on 12-13 October 2019.

This book covers applications of machine learning in artificial intelligence.

This book is a collection of outstanding papers presented at the 1st International Conference on Advances in Computational Intelligence and Informatics (ICACII 2019), organized by the Department of Computer Science & Engineering, Anurag Group of Institutions (AGI), Hyderabad, on 20-21 December 2019.

This book gathers selected research papers presented at the AICTE-sponsored International Conference on IoT Inclusive Life (ICIIL 2019), which was organized by the Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India, on December 19-20, 2019.

This book on optimization includes forewords by Michael I.