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Spatial Thinking in Planning Practice
An Introduction to GIS...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Bayesian Methods in the Search for MH370
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Variant Construction from Theoretical Foundation to Applications
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Anisotropy Across Fields and Scales
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Compressing Deep Convolutional Networks using Vector Quantization
Deep convolutional neural networks (CNN) has become the most promising method for object recognition, repeatedly demonstrating record breaking results for image classification and object detection in ...
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Signal Computing
Digital Signals in the Software Domain...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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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...
View Book →Initiation aux me thodes vectorielles et aux applications ge ome triques et dynamiques de l'analyse,
First published in 1926...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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DNA vaccination with a gene encoding Toxoplasma gondii Deoxyribose Phosphate Aldolase (TgDPA) induce
This article is from Parasites & Vectors , volume 7 . Abstract Background: Toxoplasma gondii is an obligate intracellular parasite that causes a pathological status known as toxoplasmosis, which has a...
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Event shape analysis in ultrarelativistic nuclear collisions
We present a novel method for sorting events. So far, single variables like flow vector magnitude were used for sorting events. Our approach takes into account the whole azimuthal angle distribution r...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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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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Efficient Spherical Harmonic Transforms aimed at pseudo-spectral numerical simulations
In this paper, we report on very efficient algorithms for the spherical harmonic transform (SHT). Explicitly vectorized variations of the algorithm based on the Gauss-Legendre quadrature are discussed...
View Book →Initiation aux méthodes vectorielles et aux applications géométriques de l'analyse à l'usage
First published in 1921...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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NASA Technical Reports Server (NTRS) 20230003120: Amino Acid Encoding for Deep Learning Applications
Background: The number of applications of deep learning algorithms in bioinformatics is increasing as they usually achieve superior performance over classical approaches, especially, when bigger train...
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Compactly-supported Wannier functions and algebraic $K$-theory
In a tight-binding lattice model with $n$ orbitals (single-particle states) per site, Wannier functions are $n$-component vector functions of position that fall off rapidly away from some location, an...
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Unitary mixing scalar-vector in $ξ$ gauge
We study the effect of unitary mixing of scalar and vector fields in general $\xi$ gauge. This effect takes place for non-conserved vector currents and $\xi$ gauge generates some additional problems w...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Development of machine learning techniques for automatic modulation classification and performance a
Automatic modulation classification (AMC) is essential in modern wireless communication for optimizing spectrum usage and adaptive signal processing. This study explores the use of various machine lea...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Leçons de calcul vectoriel à l'usage des élèves de mathématiques élémentaires et spé
First published in 1931...
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Foundations of Machine Learning
...
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Initiation aux méthodes vectorielles et aux applications géométriques et dynamiques de l'analy
First published in 1945...
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Understanding Machine Learning
From Theory to Algorithms...
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DTIC ADA265868: A Parametric Analysis of Endoatmospheric Low-Earth-Orbit Maintenance
With the advent of long term low Earth-orbiting satellites comes the requirement to maintain a specified orbital radial band. Optimal control theory suggests that periodic thrusting is more efficient ...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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CIA Reading Room cia-rdp78b04747a001100020003-5: CONTRACT(Sanitized)
IL IB 25X1A Approved For Release 2005/02/10 : CIA-RDP78BO4747AO01100020003-5 l.)cce'im7lx f 8, 1 09 Post. oI'ficc lox S2 7-i Soul tires . Post office \Vashinf;ton, B. C. 2002'l 25X1A Subject: Contract...
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Quasiclassical theory of superconductivity: a multiple interface geometry
The purpose of the paper is to suggest a new method which allows one to study multiple coherent reflection/transmissions by partially transparent interfaces (e.g. in multi-layer mesoscopic structures ...
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Linear Selection Indices in Modern Plant Breeding
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Representation Learning for Natural Language Processing
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Inferring the dynamics of stellar streams via distance gradients
We present a simple result in which the distance gradient along a stream can be used to derive the transverse velocity (i.e. proper motion) along it, if the line-of-sight velocity is also known. We sh...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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PQTable: Non-exhaustive Fast Search for Product-quantized Codes using Hash Tables
In this paper, we propose a product quantization table (PQTable); a fast search method for product-quantized codes via hash-tables. An identifier of each database vector is associated with the slot of...
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The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy
What is the role of social interactions in the creation of price bubbles? Answering this question requires obtaining collective behavioural traces generated by the activity of a large number of actors...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Biodiversity and Health in the Face of Climate Change
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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NASA Technical Reports Server (NTRS) 20130012660: Smart-Divert Powered Descent Guidance to Avoid the
A smart-divert capability has been added into the Powered Descent Guidance (PDG) software originally developed for Mars pinpoint and precision landing. The smart-divert algorithm accounts for the land...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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MACHINE LEARNING-BASED BEHAVIORAL ANALYSIS FRAMEWORK FOR EFFICIENT KEYLOGGER DETECTION
Keylogger malware poses a serious cybersecurity threat by secretly recording user keystrokes and transmitting sensitive information such as passwords, financial data, and personal messages to unauthor...
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Software for Exascale Computing - SPPEXA 2016-2019
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Conditional Symmetries and Phase Space Reduction towards G.C.T. Invariant Wave Functions, for the Cl
The quantization of Class A Bianchi Type VI and VII geometries -with all six scale factors, as well as the lapse function and the shift vector present- is considered. A first reduction of the initial ...
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DTIC ADA429823: Performance Analysis of Mobile Ad Hoc Networking Routing Protocols
This thesis presents a simulation and performance evaluation analysis of the various routing protocols that have been proposed for the Mobile Ad Hoc Network (MANET) environment using the Network Simul...
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Identification and Characterization of a Ginsenoside-Transforming ?-Glucosidase from Pseudonocardia
This article is from PLoS ONE , volume 9 . Abstract The ginsenoside Rg2(S), which is one of the pharmaceutical components of ginseng, is known to have neuroprotective, anti-inflammation, and anti-diab...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Algorithmic Graph Theory and Sage
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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