Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Flow of ions through voltage gated channels can be represented theoretically using stochastic differential equations where ...
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Data Complexity in Pattern Recognition
Data Complexity in Pattern Recognition is unique in its comprehensive coverage and multidisciplinary approach from various ...
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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). ...
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Data Mining for Biomedical Applications
This book constitutes the refereed proceedings of the International Workshop on Data Mining for Biomedical Applications, ...
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Data Science and Analytics : 5th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2019, Gurugram, India, November 15–16, 2019, Revised Selected Papers, Part I
This two-volume set (CCIS 1229 and CCIS 1230) constitutes the refereed proceedings of the 5th International Conference on ...
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications / Sujata Dash, Subhendu Kumar Pani, Joel Jose P. Coelho Rodrigues, Babita Majhi
Examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. ...
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Digital Image Processing
The book offers an integral view of image processing from image acquisition to the extraction of the data of interest. The ...
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Digital Image Processing : An Algorithmic Introduction using Java
This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples ...
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Digital Imaging and Communications in Medicine (DICOM) : A Practical Introduction and Survival Guide
This is the first Digital Imaging and Communications in Medicine (DICOM) book to introduce this complex imaging standard ...
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Digital Mammography : 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings
This volume (5116) of Springer’s Lecture Notes in Computer Science contains the th proceedings of the 9 International Workshop ...
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Digital Signal Processing : An Experimental Approach
Digital Signal Processing is a mathematically rigorous but accessible treatment of digital signal processing that intertwines ...
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Digital Watermarking : 6th International Workshop, IWDW 2007 Guangzhou, China, December 3-5, 2007 Proceedings
This book constitutes the refereed proceedings of the 6th International Workshop, IWDW 2007, held in Guangzhou, China, in ...
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Discrete Geometry for Computer Imagery : 14th IAPR International Conference, DGCI 2008, Lyon, France, April 16-18, 2008. Proceedings
This book constitutes the refereed proceedings of the 14th IAPR TC-18 International Conference on Discrete Geometry for Computer ...
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Embedded Image Processing on the TMS320C6000™ DSP
the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard ...
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Energy Minimization Methods in Computer Vision and Pattern Recognition
Constitutes the refereed proceedings of the 5th International Workshop on Energy Minimization Methods in Computer Vision ...
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings
The feld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery ...
اقرأ المزيدEvolutionary Synthesis of Pattern Recognition Systems
Evolutionary Synthesis of Pattern Recognition Systems presents novel effective approaches based on evolutionary computational ...
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Fundamentals of Multimedia / Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
Addresses real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable ...
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Fundamentals of Multimedia / Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
Addresses real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable ...
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Fundamentals of Pattern Recognition and Machine Learning
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
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