Machine Learning Applications In Software Engineering

Providing extensive coverage and comprehensive discussion on the fundamental concepts and processes of machine design, this book begins with detailed discussion of the types of materials, their properties and selection criteria for designing. The text, the first volume of a two volume set, covers different types of stresses including direct stress, bending stress, torsional stress and combined stress in detail. It goes on to explain various types of temporary and permanent joints including pin joint, cotter joint, threaded joint and welded joint. Finally, the book covers the design procedure of keys, cotters, couplings, shafts, levers and springs. Also examined are applications of different types of joints used in boilers, bridges, power presses, automobile springs, crew jack and coupling.

These four volumes present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The volumes detai

Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book de

Our four volumes propose to present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The four

Organic Sensors: Materials and Applications features contributions from an international panel of leading researchers in organic electronics and their applications as sensors. It reviews the state-of-

Written in a user-friendly manner, the text provides detailed discussions on design principles of belts, pulleys, ropes, chain drives and gear boxes. The text being a follow-up to the first volume, discusses properties, types, advantages and selection aspects of belt drives, flat belt pulleys, grooved pulleys and rope drives. It then explains construction aspects, classification, properties and the design procedure of important bearings including hydrodynamic and rolling bearings. It goes on to discuss several types of I.C. engine parts including cylinder, piston, connecting rod, crank shaft, valve gears, flywheels, clutches and brakes. Advantages and applications of worm and worm wheel drives and pressure vessels are also included.

"This book reviews distance learning programs and software systems, outlining computational methods, algorithms, implemented prototype systems, and applications of open and distance learning"--Provide

Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent r

This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extend

Five computer scientists at the University of Alcala, Spain explain applications of asymptotic numerical techniques to analyzing real-world engineering problems. They draw on their own experience as u

The 17 papers contained in this volume review recent advances in nanotechnology in the field of medical therapeutics. Peppas (chemical and biomedical engineering, U. of Texas at Austin), Hilt (chemica

The aim of this book is to describe the essence of fractals and multifractals dynamics in the applications of bioscience and engineering, bioinformatics, and financial time series. To reach these aims

With success of ICEEE 2010 in Wuhan, China, and December 4 to 5, 2010, the second International Conference of Electrical and Electronics Engineering (ICEEE 2011) will be held in Macau, China, and Dece

This comprehensive textbook covers all subjects on linear circuit theory, with the emphasis on learning the subject without an excessive amount of information. This unique approach stresses knowledge

Soft computing techniques are emerging as an important tool in solving design, performance and optimisation problems in electromagnetics. Soft Computing in Electromagnetics offers detailed discussion on the application of soft computing concepts in the field of metamaterial antennas, radar absorbers, transmission line characterisation and optimised radar absorbing material (RAM) and introduces implementation of soft computing tools in a relatively new area of metamaterials. The soft computing methods are used to optimise fault detection, electromagnetic propagation and path loss detection. The development of two CAD packages for design of metamaterial split ring resonators (SRR) and path-loss prediction is discussed. The concepts are explained with the help of algorithms and the corresponding software codes. Numerical examples and MATLAB codes are provided throughout the text to facilitate understanding.

Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts. By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book is a mixture of historical and forward-looking essays on key topics in decision analysis. Part I covers the history and foundations of decision analysis. Part II discusses structuring decision problems, including the development of objectives and their attributes, and influence diagrams. Part III discusses probabilities and their elicitation and Bayes nets. Part IV discusses additive and multiplicative utilities, risk preferences, and 'option pricing' methods. Part V discusses risk analysis. Part VI puts decision analysis in a behavioral and organizational context. Part VI

Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts. By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book is a mixture of historical and forward-looking essays on key topics in decision analysis. Part I covers the history and foundations of decision analysis. Part II discusses structuring decision problems, including the development of objectives and their attributes, and influence diagrams. Part III discusses probabilities and their elicitation and Bayes nets. Part IV discusses additive and multiplicative utilities, risk preferences, and 'option pricing' methods. Part V discusses risk analysis. Part VI puts decision analysis in a behavioral and organizational context. Part VI

Software is essential and pervasive in the modern world, but software acquisition, development, operation, and maintenance can involve substantial risk, allowing attackers to compromise millions of co

The pay-offs for creating distributed applications are in achieving portability, scalability and fault-tolerance. In order to simplify building software that performs robustly regardless of platform o

Equally grounded in the research and the practical applications developed by the authors over a number of years, this book shows how virtual learning environments could represent the future of higher

Elasticity: Theory and Applications, now in a revised and updated second edition, has long been used as a textbook by seniors and graduate students in civil, mechanical, and biomedical engineering, si

An introduction to mathematical techniques used in engineering with an emphasis on applications in linear circuits and systemsThis book provides an integrated approach to learning the necessary mathem

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is heade

This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to a

This text uses practical applications and an accessible writing style to present a summary of psychological research on students' learning of academic subject areas. The text is organized into three m

This book constitutes the revised selected papers of the First International Workshop on Machine Learning in Medical Imaging, MLMMI 2015, held in July 2015 in Lille, France, in conjunction with the 32

This book constitutes the refereed thoroughly refereed post-workshop proceedings of the 17th International Conference on Web Engineering, ICWE 2017, held in Rome, Italy, in June 2017.The 24 revised fu