Security in Cyber-Physical Systems

The unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, Tsinghua It is indeed wonderful to see the reviving of the import…

Machine Learning for Intelligent Multimedia Analytics

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several…

Machine Learning Modeling for IoUT Networks

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing cha…

Machine Learning for Robotics Applications

Edition

1

ISBN/ISSN

978-981-16-0598-7

Collation

xii, 168p.:Ill.

Series Title

-

Call Number

006.31 Mac

Human Activity Recognition Challenge

Edition

1

ISBN/ISSN

978-981-15-8269-1

Collation

xiv, 126p.:Ill.

Series Title

-

Call Number

006.4 Hum

Rapid Damage-Free Robotic Harvesting of Tomatoes

Edition

1

ISBN/ISSN

978-981-16-1284-8

Collation

xiv, 460p.:Ill.

Series Title

-

Call Number

681.763 1 Liu r

Machine Learning Algorithms for Industrial Applications

Edition

1

ISBN/ISSN

978-3-030-50641-4

Collation

XVII, 315p.:Ill

Series Title

Studies of computional inteligence

Call Number

006.31 Mac

Variational Methods for Machine Learning with Applications to Deep Networks

Edition

-

ISBN/ISSN

978-3-030-70679-1

Collation

XIV, 165p.:ll.

Series Title

-

Call Number

006.31 Var

Deep Learning for Unmanned Systems

Edition

1

ISBN/ISSN

978-3-030-77939-9

Collation

VIII, 732p.:Ill

Series Title

Studies in Computational Intelligence

Call Number

629.046 Dee

A Machine Learning based Pairs Trading Investment Strategy

Edition

-

ISBN/ISSN

978-3-030-47251-1

Collation

IX, 104p.:Ill.

Series Title

SpringerBriefs in Applied Sciences and Technology

Call Number

006.31 Sar a

Machine Learning for Engineers

Edition

-

ISBN/ISSN

978-3-030-70388-2

Collation

xiii, 247p.:Ill

Series Title

-

Call Number

620.002 856 3 Mcc m

Hardware-Aware Probabilistic Machine Learning Models

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-edge computing …

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics

Edition

-

ISBN/ISSN

978-3-030-66288-2

Collation

VI, 315p.:Ill

Series Title

-

Call Number

006.31 Mac

Deep Learning for Cancer Diagnosis

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amount…

Condition Monitoring Algorithms in MATLAB®

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the correspo…

Machine Learning and Information Processing

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering…

Machine Learning, Deep Learning and Computational Intelligence for Wireless C…

Edition

-

ISBN/ISSN

978-981-16-0289-4

Collation

xix, 643p.:Ill

Series Title

Lecture Notes in Electrical Engineering

Call Number

006.31 Gop m

Enabling Machine Learning Applications in Data Science

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. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targ…

Advances in Machine Learning and Computational Intelligence

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning…

Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The …

Advances in Intelligent Systems and Computing V

This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented…

Simulation in Chassis Technology

Anyone who wants to simulate the behavior of vehicles must think about how they want to model the vehicle's chassis. Depending on the question (vehicle dynamics, ride comfort, load data prediction ...) there are a variety of possibilities. This book should help to find and implement the right models and processes. In addition to a short introduction to simulation technology, the most important …

Intelligent Systems and Applications

The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial en…

Mechanism and Machine Science

This volume presents select papers from the Asian Conference on Mechanism and Machine Science 2018. This conference includes contributions from both academic and industry researchers and will be of interest to scientists and students working in the field of mechanism and machine science.

Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering …

Deep Learning Applications, Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural network…

Intelligent Systems and Applications

The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial en…

Advances in Distributed Computing and Machine Learning

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. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the Sch…

Trends in Mechanical and Biomedical Design

This book comprises select papers presented at the International Conference on Mechanical Engineering Design (ICMechD) 2019. The volume focuses on the recent trends in design research and their applications across the mechanical and biomedical domain. The book covers topics like tribology design, mechanism and machine design, wear and surface engineering, vibration and noise engineering, biomec…

Proceedings of International Conference on Big Data, Machine Learning and the…

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. The book provides significant contributions in a structured way so that prospective readers can understand how these techniques are used …