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Diffusion-Weighted MR Imaging (DW-MRI) and Diffusion-Weighted MR Spectroscopy (DW-MRS)
Magnetic Resonance Imaging (MRI) is a unique technique that provides tissue-specific contrast non-invasively. However, even at ultra-high field, resolution remains on the millimeter scale, far above cellular microstructure. Taking the fact that diffusion of nuclear spins in magnetic field gradients results in a characteristic signal loss, MRI can be sensitized to water-diffusion (DW-MRI) to recover microstructural information indirectly. Diffusion-Weighted MR Spectroscopy (DW-MRS) goes one step further by not measuring the diffusion of tissue water but of cell-type specific metabolites. Given that, both techniques can provide complementary information: DW-MRI on water diffusion with high spa...
Computational Intelligence
This is the proceedings of the International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 2006. The book presents 165 revised full papers, carefully chosen and reviewed, organized in topical sections on fuzzy systems, fuzzy-neuro-evolutionary hybrids, supervised, unsupervised and reinforcement learning, intelligent agent and Web applications, intelligent fault diagnosis, natural language processing and expert systems, natural language human-machine interface using artificial neural networks, and intelligent financial engineering.
International Conference on Intelligent Computing: Intelligent computing
This book constitutes the refereed proceedings of the International Conference on Intelligent Computing, ICIC 2006, held in Kunming, China, August 2006. The book collects 161 carefully chosen and revised full papers. Topical sections include neural networks, evolutionary computing and genetic algorithms, kernel methods, combinatorial and numerical optimization, multiobjective evolutionary algorithms, neural optimization and dynamic programming, as well as case-based reasoning and probabilistic reasoning.
Intelligent Control and Automation
Results of the International Conference on Intelligent Computing, ICIC 2006: Lecture Notes in Computer Science (LNCS), Lecture Notes in Artificial Intelligence (LNAI), Lecture Notes in Bioinformatics (LNBI), Lecture Notes in Control and Information Sciences (LNCIS). 142 revised full papers are organized in topical sections: Blind Source Separation; Intelligent Sensor Networks; Intelligent Control and Automation; and Data Fusion, Knowledge Discovery, and Data Mining. Includes a Special Session on Smart and Intelligent Home Technology.
Advanced Manufacturing and Sustainable Logistics
This book constitutes the proceedings of the 8th International Heinz Nixdorf Symposium, IHNS 2010, held in Paderborn, Germany, April 21-22, 2010, under the title "Changing Paradigms: Advanced Manufacturing and Sustainable Logistics". The 27 full and two short papers presented in this book were carefully reviewed and selected from a total of 63 submissions. They are grouped in five parts on Supply Chain Management, Production Logistics and Industrial Engineering, Operations Research Techniques, Humanitarian Logistics, and Simulation. The presentation is completed by nine invited keynote papers from renowned international experts in these fields.
Intelligent Computing in Signal Processing and Pattern Recognition
This 1179-page book assembles the complete contributions to the International Conference on Intelligent Computing, ICIC 2006: one volume of Lecture Notes in Computer Science (LNCS); one of Lecture Notes in Artificial Intelligence (LNAI); one of Lecture Notes in Bioinformatics (LNBI); and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). Include are 149 revised full papers, and a Special Session on Computing for Searching Strategies to Control Dynamic Processes.
Multi-faceted Deep Learning
This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the research...
骰子能扮演上帝嗎？18個不確定性的數學思考
愛因斯坦曾說「上帝不會和宇宙擲骰子」，認為自然法則不包含隨機性。 但骰子有個不可告人的祕密：它們並沒我們想的那麼隨機。 最會說故事的數學家 英國皇家學會成員、暢銷書《改變世界的17個方程式》作者伊恩・史都華 將永遠打消你想當個賭徒的念頭！ 不確定性隨處可見。任何對未來的猜想都藏有不確定性：天氣、經濟、未出生的胎兒性別，甚至人口、行星運行這些看似能確定的量，都有誤差的可能。 人類一直想定義、理解並限制不確定性。一開始，巫師用肝臟、茶葉和星星占卜。而後，數學家和科學家努力試圖�...
