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Volume is indexed by Thomson Reuters CPCI-S (WoS). This special volume addresses the hottest issues in materials, mechanics and manufacturing. The volume covers a wide range of relevant topics, including: applied materials, fundamental materials science, mechanics of materials, manufacturing and mechanics engineering, industrial mechanics, materials and mechanics information systems, etc. Researchers in the field share truly cutting-edge information in this volume.
The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. The papers address all issues in Advanced Intelligent Computing, especially Methodologies and Applications, including theories, methodologies, and applications in science and technology. They include a range of techniques such as artificial intelligence, pattern recognition, evolutionary computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, human computer interface issues, etc.
The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 that were held in Ul...
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Machine learning has revolutionized industries, from healthcare to entertainment, by enhancing how we understand and interact with data. Despite its prevalence, mastering this field requires both theoretical knowledge and practical skills. This book bridges that gap, starting with foundational concepts and essential mathematics, then advancing through a wide range of algorithms and techniques. It covers supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning, with clear explanations and practical examples. Real-world applications are highlighted through scenarios and case studies, demonstrating how to solve specific problems with machine learning. You...
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field.After presenting background and terminology, the book cover
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As the first volume of a two-volume seminal work on contemporary New Confucianism in China, this book charts the development of this intellectual trend and examines four leading thinkers of this intellectual movement in the 20th century. Contemporary New Confucianism refers to the Confucianism or Confucian thought that has emerged in China since the 1920s and that seeks to revive Confucian spirituality in a changing society. This volume first analyzes the cultural context, logical approach, major themes, and problems of New Confucianism before delving into the four leading figures, namely Liang Shumin, Xiong Shili, Ma Yifu, and Qian Mu. The chapter on Liang Shumin analyzes his concept of wil...