Machine learning

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.

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.

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.

The book discusses various aspects of biophysics.

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

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019).

This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition.

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 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.

This book covers applications of machine learning in artificial intelligence.

This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things, and Big Data (ICMIB 2021) held at Indira Gandhi Institute of Technology, Sarang, India, during December 2021.

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

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 discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data.

Deep reinforcement learning has attracted considerable attention recently.

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.

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques.

The book presents recent advances in the generation and detection of fake multimedia.

This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.

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

This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 June 2020.

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

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining.

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.

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

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.

This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15-16 January 2022.

This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design.

This book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore.

This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning.

This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges.

This book illustrates how data can be useful in solving business problems.

This book presents recent developments in multivariate and robust statistical methods.