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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Detection of Cervical Cancer using ML Algorithms
Cervical cancer is one of the leading causes of cancer-related deaths among women worldwide, particularly in low- and middle-income regions where access to regular screening and early diagnostic servi...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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DTIC ADA619300: An Improved Evolution-COnstructed (iECO) Features Framework
In image processing and computer vision, significant progress has been made in feature learning for exploiting important cues in data that elude non-learned features. While the field of deep learning ...
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Algorithmic Graph Theory and Sage
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Generating and structuring terrain features on parallel vector architectures
First published in 1988...
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Hybrid multi-layer Deep CNN/Aggregator feature for image classification
Deep Convolutional Neural Networks (DCNN) have established a remarkable performance benchmark in the field of image classification, displacing classical approaches based on hand-tailored aggregations ...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring
Fisher vector has been widely used in many multimedia retrieval and visual recognition applications with good performance. However, the computation complexity prevents its usage in real-time video mon...
View Book →Calculus - Concepts and Contexts, Volume 1 - Featuring an Introduction to Vectors
First published in 2009...
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Foundations of Machine Learning
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Generalisations of the Laplace-Runge-Lenz vector
The characteristic feature of the Kepler Problem is the existence of the so-called Laplace--Runge--Lenz vector which enables a very simple discussion of the properties of the orbit for the problem. It...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Variant Construction from Theoretical Foundation to Applications
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Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature ext
Vector-quantized local features frequently used in bag-of-visual-words approaches are the backbone of popular visual recognition systems due to both their simplicity and their performance. Despite the...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Geometry of Killing spinors in neutral signature
We classify the supersymmetric solutions of minimal $N=2$ gauged supergravity in four dimensions with neutral signature. They are distinguished according to the sign of the cosmological constant and w...
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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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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Biodiversity and Health in the Face of Climate Change
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Signal Computing
Digital Signals in the Software Domain...
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A hybrid extreme machine learning model for predicting heart disease
Heart disease (HD), the leading cause of death for adults over 65, can affect anyone at any time. Additionally, modern lifestyles, poor diets, and other factors have led to an increased risk of HD amo...
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Some minisuperspace model for the Faddeev formulation of gravity
We consider Faddeev formulation of general relativity in which the metric is composed of ten vector fields or a $4 \times 10$ tetrad. This formulation reduces to the usual general relativity upon part...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks. For most existing hashing methods, an image is first encoded as a vector of han...
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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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View Book →50 Mandalas for Stress-Relief Adult Coloring Book
First published in 2020...
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Support Vector Machine based Image Classification for Deaf and Mute People
A hand gesture recognition system provides a natural, innovative and modern way of nonverbal communication. It has a wide area of application in human computer interaction and sign language. The whole...
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Uncooled infrared imaging face recognition using kernel-based feature vector selection
A considerable amount of research has been recently conducted on face recognition tasks, due to increasing demands for security and authentication applications. Recent technological developments in un...
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Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertaint...
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On the Scalar Manifold of Exceptional Supergravity
We construct two parametrizations of the non compact exceptional Lie group G=E7(-25), based on a fibration which has the maximal compact subgroup K=(E6 x U(1))/Z_3 as a fiber. It is well known that G ...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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On calculating the Berry curvature of Bloch electrons using the KKR method
We propose and implement a particularly effective method for calculating the Berry curvature arising from adiabatic evolution of Bloch states in wave vector k space. The method exploits a unique featu...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Short-Time feature vector based phonemic speech recognition with the aid of local context
First published in 1991...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Linear Selection Indices in Modern Plant Breeding
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DTIC ADA445717: Multi-Model Algorithms for Optimization
A recent approach for the construction of nonlinear optimization software has been to allow an algorithm to choose between two possible models to the objective function at each iteration. The model sw...
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LCNN: Low-level Feature Embedded CNN for Salient Object Detection
In this paper, we propose a novel deep neural network framework embedded with low-level features (LCNN) for salient object detection in complex images. We utilise the advantage of convolutional neural...
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Dense Baryonic Matter in Hidden Local Symmetry Approach: Half-Skyrmions and Nucleon Mass
Hadron properties in dense medium are treated in a unified way in a skyrmion model constructed with an effective Lagrangian, in which the rho and omega vector mesons are introduced as hidden gauge bos...
View Book →Automated feature selection with a distinction sensitive learning vector quantizer
First published in 1994...
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Heart disease prediction optimization using metaheuristic algorithms
This study explores metaheuristics hyperparameter tuning effectiveness in machine learning models for heart disease prediction. The optimized models are k-nearest neighbors (KNN) and support vector ma...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Problems in Higher Mathematics II (Special Chapters on Mathematical Analysis) - Edited by A.V. Efimo
Problems in Higher Mathematics II (Special Chapters on Mathematical Analysis) - Edited by A.V. Efimov and B.P. Demidovich The second volume of the book “Problems in Higher Mathematics for Higher T...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Representation Learning for Natural Language Processing
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Software for Exascale Computing - SPPEXA 2016-2019
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Anisotropy Across Fields and Scales
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Understanding Machine Learning
From Theory to Algorithms...
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