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 Free Download Computer Visualization: Graphics Techniques for Engineering and Scientific Analysis English | 2023 | ISBN: 0849390508 | 324 Pages | EPUB (True) | 36 MB Rapid advances in 3-D scientific visualization have made a major impact on the display of behavior. The use of 3-D has become a key component of both academic research and commercial product development in the field of engineering design. Computer Visualization presents a unified collection of computer graphics techniques for the scientific visualization of behavior. The book combines a basic overview of the fundamentals of computer graphics with a practitioner-oriented review of the latest 3-D graphics display and visualization techniques. Each chapter is written by well-known experts in the field.  Free Download Computer Vision and Machine Learning for Intelligent Sensing Systems by Jing Tian English | PDF | 2023 | 246 Pages | ISBN : 3036578684 | 29.6 MB The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.  Free Download Computer Vision - ECCV 2020 Workshops: Glasgow, UK, August 23-28, 2020, Proceedings, Part I by Adrien Bartoli English | PDF | 2020 | 818 Pages | ISBN : 3030664147 | 127.3 MB The 5-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic.  Free Download Computer Simulations in Molecular Biology by Hiqmet Kamberaj English | PDF EPUB (True) | 2023 | 306 Pages | ISBN : 3031348389 | 76.2 MB This book covers a range of topics in quantum mechanics and molecular dynamics simulation, including computational modeling and machine learning approaches. The book also provides a Python GUI and tutorials for simulating molecular biological systems and presents case studies of quantum mechanics simulations for predicting electronic properties. Its pedagogical formatting makes it easy for students to understand and follow and has been praised for providing clear and detailed explanations of complex topics. This book is ideal for graduate students and researchers in theoretical and computational biophysics, physics, chemistry, and materials science, as well as postgraduates in applied mathematics, computer science, and bioinformatics.  Free Download Computer Simulation Study of Collective Phenomena in Dense Suspensions of Red Blood Cells under Shear by Timm Krüger English | PDF | 2012 | 169 Pages | ISBN : 3834823759 | 2.6 MB The rheology of dense red blood cell suspensions is investigated via computer simulations based on the lattice Boltzmann, the immersed boundary, and the finite element methods. The red blood cells are treated as extended and deformable particles immersed in the ambient fluid. In the first part of the work, the numerical model and strategies for stress evaluation are discussed. In the second part, the behavior of the suspensions in simple shear flow is studied for different volume fractions, particle deformabilities, and shear rates. 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Free Download Computational Methods and Applications for Numerical Analysis by Fajie Wang and Ji Lin English | PDF | 2023 | 420 Pages | ISBN : 3036582843 | 39.7 MB The present book contains the 20 articles accepted and published in the Special Issue "Computational Methods and Applications for Numerical Analysis" of the MDPI "Mathematics" journal, which surround the theory, algorithms, programming, software, numerical simulation, and/or novel applications of computational methods to solve problems in engineering, science, and other disciplines related to computations. These topics include finite element methods, finite difference methods, meshless/meshfree methods, physics-informed neural networks, interpolation, approximation, optimization, numerical methods for ordinary/partial differential equations, etc. Their applications include crack propagation, acoustic analysis, elastodynamic analysis, free vibration analysis, structure and topology optimization, fractional equations, eigenvalue problems, inverse problems, etc.  Free Download Computational Intelligence for Cybersecurity Management and Applications English | 2023 | ISBN: 1032335033 | 248 Pages | EPUB (True) | 4 MB As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times.  Free Download Computational Genomics with R (Chapman & Hall/CRC Computational Biology Series) by Altuna Akalin English | December 29, 2020 | ISBN: 1498781853 | 462 pages | MOBI | 12 Mb Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. |
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