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Solving PDEs in Python
The FEniCS Tutorial I...
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Understanding Machine Learning
From Theory to Algorithms...
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Top scoring pairs for feature selection in machine learning and applications to cancer outcome predi
This article is from BMC Bioinformatics , volume 12 . Abstract Background: The widely used k top scoring pair (k-TSP) algorithm is a simple yet powerful parameter-free classifier. It owes its success ...
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Software for Exascale Computing - SPPEXA 2016-2019
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Bayesian Methods in the Search for MH370
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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DTIC ADA196379: Tropical Cyclone Observation and Forecasting with and without Aircraft Reconnaissanc
This thesis attempts to better quantify the contribution of aircraft reconnaissance to the accuracy of Tropical Cyclone (TC) center fix, motion determination, and intensity estimates along with the im...
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Propagations of massive graviton in the deformed Hořava-Lifshitz gravity
We study massive graviton propagations of scalar, vector, and tensor modes in the deformed Ho\v{r}ava-Lifshitz gravity by introducing Lorentz-violating mass term. It turns out that vector and tensor m...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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chakraborty_anthem_cluster_report
In this study, we used natural language processing (NLP) techniques and k-means clustering to cluster a set of 190 national anthems based on their English lyrics. National anthems play a significant r...
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Tractable approximations of sets defined with quantifiers
Given a compact basic semi-algebraic set $K\subset R^n\times R^m$, a simple set $B$ (box or ellipsoid), and some semi-algebraic function $f$, we consider sets defined with quantifiers, of the form $R_...
View Book →Does Religion in Government Serve America Better?
First published in 2022...
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Mapping the social network: tracking lice in a wild primate (Microcebus rufus) population to infer s
This article is from BMC Ecology , volume 12 . Abstract Background: Studies of host-parasite interactions have the potential to provide insights into the ecology of both organisms involved. We monitor...
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Controlled Sparsity Kernel Learning
Multiple Kernel Learning(MKL) on Support Vector Machines(SVMs) has been a popular front of research in recent times due to its success in application problems like Object Categorization. This success ...
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Biodiversity and Health in the Face of Climate Change
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A review of convolutional neural network-based computer-aided lung nodule detection system
Worldwide, lung cancer is the major cause of death and rapidly spreads. Lung tissue that is benign does not grow significantly, but lung tissue that is malignant grows rapidly and attacks the body, po...
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On Achievability of an $(r,l)$ Fractional Linear Network Code
It is known that there exists a network, called as the M-network, which is not scalar linearly solvable but has a vector linear solution for message dimension two. Recently, a generalization of this r...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Computer networking
First published in 1900...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Anisotropy Across Fields and Scales
...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Foundations of Machine Learning
...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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On the BRST and finite field dependent BRST of a model where vector and axial vector interaction get
The generalized version of a lower dimensional model where vector and axial vector interaction get mixed up with different weight is considered. The bosonized version of which does not posses the loca...
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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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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Improved Method to extract Nucleon Helicity Distributions using Event Weighting
An improved analysis method to extract quark helicity distributions in leading order (LO) QCD from semi-inclusive double spin asymmetries in deep inelastic scattering is presented. The method relies o...
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Signal Computing
Digital Signals in the Software Domain...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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The NN2 Flux Difference Method for Constructing Variable Object Light Curves
We present a new method for optimally extracting point-source time variability information from a series of images. Differential photometry is generally best accomplished by subtracting two images sep...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Algorithmic Graph Theory and Sage
...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Variant Construction from Theoretical Foundation to Applications
...
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Tests of General Relativity with the Stochastic Gravitational-Wave Background
The direct observation of gravitational waves with Advanced LIGO offers novel opportunities to test general relativity in strong-field, highly dynamical regimes. One such opportunity is the measuremen...
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Developing Graphics Frameworks with Python and OpenGL
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Towards OPE based local quark-hadron duality: Light-quark channels
Various light-quark channel current-current correlators are subjected to the concept of a non-perturbative component of coarse graining in operator product expansions introduced in a parallel work. Th...
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Representation Learning for Natural Language Processing
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Linear Selection Indices in Modern Plant Breeding
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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DTIC ADA461655: Scalable Link-State Internet Routing
We present and verify the Adaptive Link-State Protocol (ALP), a new link-state routing protocol that does not require the state of each link to be flooded to the entire internetwork, or to entire area...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Data structures and algorithm analysis in C
First published in 1993...
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Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part II--Implementa
This paper is the second of a two-part series that discusses the implementation issues and test results of a robust Unscented Kalman Filter (UKF) for power system dynamic state estimation with non-Gau...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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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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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Multitask Learning with Deep Neural Networks for Community Question Answering
In this paper, we developed a deep neural network (DNN) that learns to solve simultaneously the three tasks of the cQA challenge proposed by the SemEval-2016 Task 3, i.e., question-comment similarity,...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Non-perturbative approach to nearly antiferromagnetic Fermi liquids
We present a non-perturbative approach to the problem of quasiparticles coupled to spin-fluctuations. If the fully dressed spin-fluctuation propagator is used in the Feynman graph expansion of the sin...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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On the splitting problem for Lorentzian manifolds with an $\mathbb{R}$-action with causal orbits
We study the interplay between the global causal and geometric structures of a spacetime $(M,g)$ and the features of a given smooth $\mathbb{R}$-action $\rho$ on $M$ whose orbits are all causal curves...
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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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The quantization of gravity and the vacuum energy of quantum fields
We construct a unified covariant derivative that contains the sum of an affine connection and a Yang-Mills field. With it we construct a lagrangian that is invariant both under diffeomorphisms and Yan...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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