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This book consists of eleven chapters that covers all aspects of mechatronics systems from basics to advanced. This book is an edited compilation of original research and applications backed with experimental, numerical and theoretical data on...
This book consists of twelve chapters covering the design aspects, their feasibility, mathematical modeling by numerical, experimental, computational and simulation approaches. It discusses how different internet...
This book provides an in-depth understanding of the fundamental scientific principles and technologies used in the design of modern computer-controlled machines and processes. It emphasizes the synergies in the design process and explores the challenges and...
Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas...
This book presents improved numerical techniques and applied computer-aided simulations as a part of emerging trends in mechatronics in all areas related to complex fluids, with particular focus on using a combination of modeling, theory, and simulation to study systems...
This book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applications in the context of manufacturing. The book elucidates innovative thematic concepts of Industry 4.0 and its perspectives. It establishes routes...
This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard...
This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM...
This book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation in manufacturing; (1) factors that determine the decision to innovate (2) the extent of innovation (3) characteristics of an...
This book highlights recent advances in the identification, prediction and exploitation of demand side (DS) flexibility and investigates new methods of predicting DS flexibility at various different power system (PS) levels. Renewable energy sources (RES) are...
This book provides a concise introduction to the behavior of mechanical structures and testing their stochastic stability under the influence of noise. It explains the physical effects of noise and in particular the concept of Gaussian white noise. In closing, the book...
This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence...
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