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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Notes on the Paranormal
here I supply information related to the paranormal....
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Proceedings of the ... European Simulation Multiconference
No description available....
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Variant Construction from Theoretical Foundation to Applications
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Anisotropy Across Fields and Scales
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Biodiversity and Health in the Face of Climate Change
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Practical Neural Network Recipes in C++
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to s...
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University of California Union Catalog of Monographs Cataloged by the Nine Campuses from 1963 Throug
No description available....
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Representation Learning for Natural Language Processing
...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Simulation Studies of Recombination Kinetics and Spin Dynamics in Radiation Chemistry
Amit Agarwal’s thesis reports a substantial contribution to the microscopic simulation of radiation chemical reactions. In his research Agarwal extends existing models to further understand scavengi...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Algorithmic Graph Theory and Sage
...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Bayesian Methods in the Search for MH370
...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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How to Design Programs
Processing simple forms of data - Processing arbitrarily large data - More on processing arbitrarily large data - Abstracting designs - Generative recursion - Changing the state of variables - Changin...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Experimental Studies and Mathematical Modeling of Aqueous Suspension Polymerization Reactors
No description available....
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Linear Selection Indices in Modern Plant Breeding
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Soviet Physics, Crystallography
No description available....
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Python Feature Engineering Cookbook
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key Features Discover solutions for feature generation, featu...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →R Recipes
R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipe...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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View Book →The Rise of the Standard Model
Editors Laurie Brown, Max Dresden, Lillian Hoddeson and Michael Riordan have brought together a distinguished group of elementary particle physicists and historians of science to explore the recent hi...
View Book →AIAA Journal
No description available....
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Understanding Machine Learning
From Theory to Algorithms...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Support Vector Machines Applications
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medi...
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Foundations of Machine Learning
...
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Signal Computing
Digital Signals in the Software Domain...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →Multivariable Calculus from Graphical, Numerical, and Symbolic Points of View
The text addresses a general mathematical audience: mathematics majors, science and engineering majors, and non-science majors. [The authors] assume little more mathematical maturity than for single-v...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
View Book →Getting started with Deep Learning for Natural Language Processing
Learn how to redesign NLP applications from scratch. KEY FEATURESÊÊ ¥ Get familiar with the basics of any Machine Learning or Deep Learning application. ¥ Understand how does preprocessing work in...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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