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Advances in Industrial Machines and Mechanisms
This book presents the select proceedings of the 1st International 13th National Conference on Industrial Problems on Machines and Mechanism (IPRoMM 2020) and examines issues in the design, manufacture, and performance of mechanical and mechatronic elements and systems that are employed in modern machines and devices. The topics covered include robotics, industrial CAD/CAM systems, mechatronic…
- Edition
- 1
- ISBN/ISSN
- 978-981-16-1769-0
- Collation
- XII, 719p.:Ill
- Series Title
- -
- Call Number
- 621 Adv
Computer Vision and Machine Learning in Agriculture
This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productiv…
- Edition
- -
- ISBN/ISSN
- 978-981-33-6424-0
- Collation
- xiv, 172p.:Ill
- Series Title
- -
- Call Number
- 630.208 5 Com
Cybernetics, Cognition and Machine Learning Applications
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. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber ph…
- Edition
- 1
- ISBN/ISSN
- 978-981-33-6691-6
- Collation
- XII, 439p.:Ill
- Series Title
- -
- Call Number
- 006.3 Cyb
Programming with TensorFlow
This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to s…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-57077-4
- Collation
- X, 190p.:Ill
- Series Title
- -
- Call Number
- 006.32 Pro
Introduction to Machine Learning in the Cloud with Python
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demon…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-71270-9
- Collation
- XIX, 284p.:Ill
- Series Title
- -
- Call Number
- 610.285 63 Gup i
Machine Tools Production Systems 2
The first part of this volume provides the user with assistance in the selection and design of important machine and frame components. It also provides help with machine design, calculation and optimization of these components in terms of their static, dynamic and thermoelastic behavior. This includes machine installation, hydraulic systems, transmissions, as well as industrial design and guide…
- Edition
- 1
- ISBN/ISSN
- 978-3-662-60863-0
- Collation
- XVIII, 840p.:Ill
- Series Title
- Lecture Notes in Production Engineering
- Call Number
- 621.8 Bre m
Machine Learning Foundations
This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine …
- Edition
- 1
- ISBN/ISSN
- 978-3-030-65900-4
- Collation
- XX, 391p.:Ill
- Series Title
- -
- Call Number
- 006.31 Jot m
Computationally Intensive Statistics for Intelligent IoT
The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization …
- Edition
- 1
- ISBN/ISSN
- 978-981-16-5936-2
- Collation
- XX, 218p.:Ill
- Series Title
- Studies in Autonomic, Data-driven and Industrial Computing
- Call Number
- 004.678 Sam c
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…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-55180-3
- Collation
- xii, 803p.:Ill
- Series Title
- Advances in Intelligent Systems and Computing
- Call Number
- 006.3 Int
Advances in Learning Automata and Intelligent Optimization
This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimizati…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-76291-9
- Collation
- XX, 340p.:Ill
- Series Title
- -
- Call Number
- 006.31 Adv
The Driver´s Cab
The aim of this work, consisting of 9 individual, self-contained booklets, is to describe commercial vehicle technology in a way that is clear, concise and illustrative. Compact and easy to understand, it provides an overview of the technology that goes into modern commercial vehicles. Starting from the customer's fundamental requirements, the characteristics and systems that define the desi…
- Edition
- 1
- ISBN/ISSN
- 978-3-662-60847-0
- Collation
- X, 50p.:Ill
- Series Title
- -
- Call Number
- 629.224 Hil t
Advances in Hydraulic and Pneumatic Drives and Control 2020
This book reports on cutting-edge research and technical achievements in the field of hydraulic drives. The chapters, selected from contributions presented at the International Scientific-Technical Conference on Hydraulic and Pneumatic Drives and Controls, NSHP 2020, held on October 21-23, 2020, in Trzebieszowice, Poland, cover a wide range of topics such as theoretical advances in fluid techno…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-59509-8
- Collation
- x, 454p.:Ill
- Series Title
- -
- Call Number
- 627 Adv
Machine Learning in Social Networks
This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems are analyzed by modeling, using networks that are aptly called complex networks. Networks are becoming ubiquitous as th…
- Edition
- 1
- ISBN/ISSN
- 978-981-33-4022-0
- Collation
- XI, 112p.:Ill
- Series Title
- -
- Call Number
- 006.31 Agg m
Machine Intelligence and Big Data Analytics for Cybersecurity Applications
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also beca…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-57024-8
- Collation
- xiii, 539p.:Ill
- Series Title
- -
- Call Number
- 006.3 Mac
Deep Learning for Medical Decision Support Systems
This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly enc…
- Edition
- 1
- ISBN/ISSN
- 978-981-15-6325-6
- Collation
- xviii, 171p.:Ill
- Series Title
- Studies in Computational Intelligence
- Call Number
- 610.285 63 Dee
Proceedings of International Conference on Big Data, Machine Learning and App…
This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminat…
- Edition
- 1
- ISBN/ISSN
- 978-981-33-4788-5
- Collation
- xii, 268p.:Ill
- Series Title
- -
- Call Number
- 005.7 Pro
Advanced Machine Learning Technologies and Applications
This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Te…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-69717-4
- Collation
- xxii, 1144p.:Ill
- Series Title
- -
- Call Number
- 006.31 Adv
The "Essence" of Network Security: An End-to-End Panorama
This edited book provides an optimal portrayal of the principles and applications related to network security. The book is thematically divided into five segments: Part A describes the introductory issues related to network security with some concepts of cutting-edge technologies; Part B builds from there and exposes the readers to the digital, cloud and IoT forensics; Part C presents readers w…
- Edition
- 1
- ISBN/ISSN
- 978-981-15-9317-8
- Collation
- xxxv, 289p.:Ill
- Series Title
- Lecture Notes in Networks and Systems
- Call Number
- 005.8 The
Metaheuristics in Machine Learning: Theory and Applications
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and …
- Edition
- 1
- ISBN/ISSN
- 978-3-030-70542-8
- Collation
- xiv, 769p.:Ill
- Series Title
- Studies in Computational Intelligence
- Call Number
- 006.31 Met
Advanced Deep Learning for Engineers and Scientists
This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Ten…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-66519-7
- Collation
- xvii, 285p.:Ill
- Series Title
- EAI/Springer Innovations in Communication and Computing
- Call Number
- 006.31 Adv
Cellular Learning Automata: Theory and Applications
This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLA’s parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, dece…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-53141-6
- Collation
- XVI, 365p.:Ill
- Series Title
- Studies in Systems, Decision and Control
- Call Number
- 006.31 Cel
Application of Machine Learning and Deep Learning Methods to Power System Pro…
This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-77696-1
- Collation
- IX, 391p.:Ill
- Series Title
- -
- Call Number
- 621.310 285 63 App
Deep Learning and Edge Computing Solutions for High Performance Computing
This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications …
- Edition
- 1
- ISBN/ISSN
- 978-3-030-60265-9
- Collation
- xii, 279p.:Ill.
- Series Title
- EAI/Springer Innovations in Communication and Computing
- Call Number
- 006.31 Dee
Advances in Condition Monitoring of Machinery in Non-Stationary Operations
This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machine…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-11220-2
- Collation
- xi, 423p.:Ill
- Series Title
- -
- Call Number
- 621.816 Adv
Proceedings of the 6th National Symposium on Rotor Dynamics
This book presents select papers presented during the 6th National Symposium on Rotor Dynamics, held at CSIR-NAL, Bangalore, and focuses on the latest trends in rotor dynamics and various challenges encountered in the design of rotating machinery. The book is of interest to researchers from mechanical, aerospace, tribology and power industries, engineering service providers and academics.
- Edition
- 1
- ISBN/ISSN
- 978-981-15-5701-9
- Collation
- xxi, 605p.:Ill
- Series Title
- Lecture Notes in Mechanical Engineering
- Call Number
- 621.8 Pro
Rotating Machineries
This book discusses the maintenance aspect of rotating machines, which it addresses through a collection of contributions. Sharing the “hands-on” views of experienced engineers on the aspect of maintenance for rotating machines, it offers a valuable reference guide for practicing engineers in the related industries, providing them a glimpse of some of the most common problems associated wit…
- Edition
- 1
- ISBN/ISSN
- 978-981-13-2357-7
- Collation
- ix, 104p.:Ill
- Series Title
- SpringerBriefs in Applied Sciences and Technology
- Call Number
- 621.406 Rot
Turbomachinery
This book presents a selection of preliminary sizing procedures for turbomachinery. Applicable to both conventional and non-conventional fluids, these procedures enable users to optimize the kinematics, thermodynamics and geometry of the turbomachinery (in the preliminary design phase) using geometric correlations and losses models; to accurately predict the efficiency of turbomachinery – in …
- Edition
- 1
- ISBN/ISSN
- 978-3-030-51299-6
- Collation
- xxi, 385p.:Ill
- Series Title
- Springer Tracts in Mechanical Engineering
- Call Number
- 621.406 05 Gam t
Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision …
The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common t…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-72280-7
- Collation
- xxi, 173p.:Ill
- Series Title
- Studies in Fuzziness and Soft Computing
- Call Number
- 006.32 Dom e
Machine Learning in VLSI Computer-Aided Design
This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and fa…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-04666-8
- Collation
- xxii, 694p.:Ill
- Series Title
- -
- Call Number
- 621.395 Mac
Rotating Machinery and Signal Processing
This book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics La…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-96181-1
- Collation
- VIII, 133p.:Ill
- Series Title
- -
- Call Number
- 621.802 87 Rot
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