
Ubiquitous Machine Learning and Its Applications by Pradeep Kumar
Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.-
Simultaneous Localization and Mapping for Mobile Robots
-
Global Trends in Intelligent Computing Research and Development
-
Mobile Ad Hoc Robots and Wireless Robotic Systems
-
Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
-
Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications
-
Handbook of Research on Generalized and Hybrid Set Structures and Applications for Soft Computing
-
Intelligent Planning for Mobile Robotics
-
Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications
-
Multi-Core Computer Vision and Image Processing for Intelligent Applications
-
Androids, Cyborgs, and Robots in Contemporary Culture and Society
-
Applied Artificial Higher Order Neural Networks for Control and Recognition
-
Integrating Cognitive Architectures into Virtual Character Design
-
Developments and Trends in Intelligent Technologies and Smart Systems
-
Developing and Applying Optoelectronics in Machine Vision
-
Intelligent Technologies and Techniques for Pervasive Computing
-
Handbook of Research on Applied Cybernetics and Systems Science
-
Recent Advances in Ambient Intelligence and Context-Aware Computing
-
Particle Swarm Optimization and Intelligence
-
Recent Advances in Intelligent Technologies and Information Systems
-
Exploring Innovative and Successful Applications of Soft Computing
-
Innovative Research in Attention Modeling and Computer Vision Applications
-
Emerging Research on Swarm Intelligence and Algorithm Optimization
-
Emerging Research on Applied Fuzzy Sets and Intuitionistic Fuzzy Matrices
-
Handbook of Research on Swarm Intelligence in Engineering
-
Strategic Imperatives and Core Competencies in the Era of Robotics and Artificial Intelligence
-
Research Developments in Computer Vision and Image Processing
-
Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition
-
Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics
-
Artificial Intelligence Applications for Improved Software Engineering Development
-
Recent Developments in Intelligent Nature-Inspired Computing
-
Theoretical and Practical Advancements for Fuzzy System Integration
-
Handbook of Research on Advanced Image Processing Techniques and Applications
-
Advanced Research on Biologically Inspired Cognitive Architectures
-
Handbook of Research on Ambient Intelligence and Smart Environments
-
Research Advances in the Integration of Big Data and Smart Computing
-
Membrane Computing for Distributed Control of Robotic Swarms
-
Handbook of Research on Advanced Intelligent Control Engineering and Automation
-
Prototyping of Robotic Systems
-
Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
-
Handbook of Research on Design, Control, and Modeling of Swarm Robotics
-
Emerging Technologies in Intelligent Applications for Image and Video Processing
-
Handbook of Research on Soft Computing and Nature-Inspired Algorithms
-
Pattern Recognition and Classification in Time Series Data
-
Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
-
Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems
Dr. Anish Sachdeva is Professor in the Department of Industrial and Production Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. He obtained his bachelors in Industrial Engineering from Regional Engineering College, Jalandhar in 1994; masters in Industrial Engineering from Punjab Technical University, Jalandhar in 2003; and his Ph.D from IIT Roorkee in 2008. He has published more than 100 research articles in international journals and conferences. His academic activities include serving as a peer reviewer in journals, acting as session chair in many international conferences, and conducting a number of training programs. His areas of interest include reliability and maintenance engineering, advanced machining, supply chain management, stochastic modeling, and system simulation. Dr. Pradeep Kumar is Professor in the Department of Mechanical & Industrial Engineering at Indian Institute of Technology, Roorkee. He obtained his bachelors (Industrial Engineering) in 1982; masters (Production Engineering) in 1989; and Ph.D. in Manufacturing and Production Engineering in 1994, all from the University of Roorkee. He has been a visiting faculty at West Virginia University, Wayne State University, AIT Bangkok, and King Fahd University of Petroleum and Minerals, Saudi Arabia. He served at the Delhi Technological University as Vice-Chancellor during 2014-15. He has published around 580 research papers in international and national journals, and conference proceedings. Dr. Kumar has completed 43 consultancy projects of various organizations, and 18 sponsored research projects in India and 1 sponsored project in USA. He also has 4 patent disclosures. His research interests include advanced manufacturing processes, microwave joining of metals, metal casting, industrial engineering, supply chain management, quality engineering, and production and operations management. Dr. Om Prakash Yadav is Professor and Interim Department Chair, Industrial and Manufacturing Engineering, North Dakota State University, Fargo. He obtained his bachelors in Mechanical Engineering from Malviya National Institute of Technology, Jaipur in 1986; masters in Industrial Engineering from National Institute of Industrial Engineering, Bombay in 1992; and Ph.D. in Industrial and Manufacturing Engineering from Wayne State University, Detroit in 2002. He has published more than 120 scientific papers in international journals and conferences, and edited more than 15 books and proceedings. He has successfully completed nearly 30 fully funded research and consultancy projects. His research interests include quality and reliability engineering, production and operations management, supply chain (logistics), inventory modeling, lean manufacturing, quantitative modeling, statistical analysis, fuzzy logic, and neural networks.
| SKU | Unavailable |
| ISBN 13 | 9781522525455 |
| ISBN 10 | 1522525459 |
| Title | Ubiquitous Machine Learning and Its Applications |
| Author | Pradeep Kumar |
| Series | Advances In Computational Intelligence And Robotics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2017-03-03 |
| Number of pages | 229 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |












































