An Evaluation Framework for Multimodal Interaction: Determining Quality Aspec…

This book presents (1) an exhaustive and empirically validated taxonomy of quality aspects of multimodal interaction as well as respective measurement methods, (2) a validated questionnaire specifically tailored to the evaluation of multimodal systems and covering most of the taxonomy‘s quality aspects, (3) insights on how the quality perceptions of multimodal systems relate to the quality pe…

An Introduction for Ph.D. Students and Practitioners: Introduction to Printed…

This book describes in detail modern technologies for printed electronics, explaining how nanotechnology and modern printing technology are merging to revolutionize electronics fabrication of thin, lightweight, large and inexpensive products. Readers will benefit from the explanations of materials, devices and circuits used to design and implement the latest applications of printed electronics,…

Proceedings of the 13th International Conference on Man-Machine-Environment S…

The integrated and advanced science research topic Man-Machine-Environment system engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology i…

Human Reliability, Error, and Human Factors in Power Generation

Human reliability, error, and human factors in the area of power generation have been receiving increasing attention in recent years. Each year billions of dollars are spent in the area of power generation to design, construct/manufacture, operate, and maintain various types of power systems around the globe, and such systems often fail due to human error. This book compiles various recent resu…

Recent Advances in Gearing : Scientific Theory and Applications

This book presents the most up-to-date accomplishments in gear design and gear production, detailing theory of gearing and its application. As an enormous number of gears are used in such sectors as automobiles, aerospace, machines, and similar industries, even a very small improvement in the gear design or production, for example a 10 cent savings on each gear, can result in huge of savings in…

Technological and Industrial Applications Associated With Industry 4.0

This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond…

Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination

This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance t…

Immersive Technology in Smart Cities : Augmented and Virtual Reality in IoT

This book presents recent trends and enhancements in the convergence of immersive technology and smart cities. The authors discuss various domains such as medical education, construction, brain interface, interactive storytelling, edification, and journalism in relation to combining smart cities, IoT and immersive technologies. The book sets up a medium to promulgate insights and in depth under…

Federated Learning Systems

Edition

1

ISBN/ISSN

978-3-030-70604-3

Collation

xvi, 196p.: Ill

Series Title

-

Call Number

006.31 Fed

Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments

This book proposes some novel approaches for finding unmanned aerial vehicle trajectories to reach targets with unknown location in minimum time. At first, it reviews probabilistic search algorithms that have been used for dealing with the minimum time search (MTS) problem, and discusses how metaheuristics, and in particular the ant colony optimization algorithm (ACO), can help to find high-qua…

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 …