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Evolutionary Intelligence
This book provides a highly accessible introduction to evolutionary computation. It details basic concepts, highlights several applications of evolutionary computation, and includes solved problems using MATLAB software and C/C++. This book also outlines some ideas on when genetic algorithms and genetic programming should be used. The most difficult part of using a genetic algorithm is how to encode the population, and the author discusses various ways to do this.
Signal Processing and Information Technology
This book constitutes the thoroughly refereed post-conference proceedings of the First International Joint Conference on Advances in Signal Processing and Information Technology (SPIT 2011) and Recent Trends in Information Processing and Computing (IPC 2011) held in Amsterdam, The Netherlands, in December 2011. The 50 revised full papers presented were carefully selected from 298 submissions. Conference papers promote research and development activities in computer science, information technology, computational engineering, image and signal processing, and communication.
Optimization in Practice with MATLAB
This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.
Web and Wireless Geographical Information Systems
This book constitutes the refereed conference proceedings of the 15th International Symposium, W2GIS 2017, held in Shanghai, China, in May 2017. The 11 revised full papers presented were carefully selected from 28 submissions. The papers cover hot topics related to W2GIS including Web technologies and technics; paths and navigation; and Web visualization.
Machine Intelligence and Smart Systems
This book is a collection of peer-reviewed best selected research papers presented at the First International Conference on Machine Intelligence and Smart Systems 2020 (MISS 2020), organized during September 24–25, 2020, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.
Proceedings of Mechanical Engineering Research Day 2017
This e-book is a compilation of papers presented at the Mechanical Engineering Research Day 2017 (MERD'17) - Melaka, Malaysia on 30 March 2017.
Implementing Industry 4.0 in SMEs
This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book ‘Industry 4.0 for SMEs: Challenges, Opportunities and Requirements’, the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples.
1 Coffee 2 Biscuits
Hi.... I am Aaric (@Ric), and I am in love with this girl, Diya (@Devadharshani). I know it sounds pretty usual, so here comes the part which makes it more exclusive and distinctive – I hear voices in my head, not just one, I hear two voices. They are inside me, they talk to me, and they know me very well. Sometimes, it’s fun to be with them – they guide me, they understand me – but mostly, they are just eating my head off, and it goes on and on. I am just getting used to them; wishing you good luck for the same.
Statistical Modeling in Machine Learning
Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach – putting key concepts together with an in-depth treatise on multi-disciplinary applications of machine learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and machine learning. St...
India Today
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