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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Machine learning-based energy management system for electric vehicles with BLDC motor integration
This paper proposes a machine learning-based energy management system for electric vehicles with BLDC motor integration. Efficient energy management is essential for improving the performance, ran...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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AI-Powered Personal Knowledge and Content Management with Big-Brain
One of the major challenges of the digital era is information overload, which makes it difficult for users to structure information and find actionable insights based on dispersed sources of knowled...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Achieving Viability for Public Service Media in Challenging Settings
A Holistic Approach...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Bioeconomy
Shaping the Transition to a Sustainable, Biobased Economy...
View Book →Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies
First published in 2025...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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NASA Technical Reports Server (NTRS) 19860018044: On the convergence of an iterative formulation of
Contraction theory is applied to an iterative formulation of electromagnetic scattering from periodic structures and a computational method for insuring convergence is developed. A short history of sp...
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NASA Technical Reports Server (NTRS) 19890003423: The optimal polarizations for achieving maximum co
There is considerable interest in determining the optimal polarizations that maximize contrast between two scattering classes in polarimetric radar images. A systematic approach is presented for obtai...
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Assessing fingerprinting and machine learning approaches for wireless indoor localization
This paper presents a comparative analysis of fingerprinting and machine learning techniques for bluetooth low energy (BLE)-based localization. Two fingerprinting algorithms, namely fingerprint featur...
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DTIC ADA1045817: Discriminant Analysis of SES XR-1D Broach Data.
Data from test runs of the Surface Effects Ship XR-1D test craft were collected and sorted into four performance classes with respect to the broaching (air ingestion) phenomenon. These classes include...
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Understanding Machine Learning
From Theory to Algorithms...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Economics of Land Degradation and Improvement – A Global Assessment for Sustainable Development
...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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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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Achieving sustainable global capacity for surveillance and response to emerging diseases of zoonotic
First published in 2008...
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Improving time efficiency in big data through progressive sampling-based classification model
The proposed system aims to overcome challenges posed by large databases, data imbalance, heterogeneity, and multidimensionality through progressive sampling as a novel classification model. It levera...
View Book →Vector Calculus and Achieve for Vector Calculus (1-Term Access)
First published in 2024...
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Foundations of Machine Learning
...
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Development of a conditional variational autoencoder for handwritten digit recognition
This study examines the performance of Conditional Variational Autoencoder (CVAE) in handwritten digit recognition. Using the MNIST dataset, two variants of the CVAE models — convolutional and multi...
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Nonviral vectors for gene therapy
First published in 1999...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Socioeconomic Inequality and Educational Outcomes
Evidence from Twenty Years of TIMSS...
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Biodiversity and Health in the Face of Climate Change
...
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EMPLOYEE ATTRITION PREDICTION IN INDUSTRY USING MACHINE LEARNING TECHNIQUES
Companies are always looking for ways to keep their professional personnel on board in order to save money on hiring and training. Predicting whether or not a specific employee would depart will assis...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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The Palgrave Handbook of Development Cooperation for Achieving the 2030 Agenda
Contested Collaboration...
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Capacity Bounds for Discrete-Time, Amplitude-Constrained, Additive White Gaussian Noise Channels
The capacity-achieving input distribution of the discrete-time, additive white Gaussian noise (AWGN) channel with an amplitude constraint is discrete and seems difficult to characterize explicitly. A ...
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Linear Selection Indices in Modern Plant Breeding
...
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Bayesian Methods in the Search for MH370
...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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DTIC ADA415139: Performance Analysis of Protocol Independent Multicasting-Dense Mode in Low Earth Or
This research explored the implementation of Protocol Independent Multicasting - Dense Mode (PIM-DM) in a LEO satellite constellation. PIM-DM is a terrestrial protocol for distributing traffic efficie...
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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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Argumentation Theory: A Pragma-Dialectical Perspective
...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Two-level boosting classifiers ensemble based on feature selection for heart disease prediction
Heart disease is a prevalent global health concern, necessitating early detection to save lives. Machine learning has revolutionized medical research, prompting the investigation of boosting algorithm...
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Managing Protected Areas in Central and Eastern Europe Under Climate Change
...
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Enhanced vegetation encroachment detection along power transmission corridors using random forest al
Vegetation encroachment along power transmission corridors poses significant risks to infrastructure safety and reliability, necessitating effective monitoring and management strategies. This study in...
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Lifefocus : achieving a life of purpose and influence
Includes bibliographical references (p. 236-238)...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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CIA Reading Room cia-rdp91-00403r000200260036-8: FR:BALK M B TO:BOLDYREV V V
Values Assumed by Entire Polyanalytic Functions,by M. B. Balk,RUSSIAN, per, Dok A], Nauk SSSR, Nath Sec, VolCLXXVII, No 1, 19660 pp 12-15..Am Math SocVol VII, No 2, Mar-Apr 1966Nov 66 313.096Univalent...
View Book →Achieve for Vector Calculus (1-Term Access)
First published in 2024...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Young People's Perceptions of Europe in a Time of Change
IEA International Civic and Citizenship Education Study 2016 European Report...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Simpler Proofs by Symbolic Perturbation
In analyses of algorithms, a substantial amount of effort has often to be spent on the discussion of special cases. For example, when the analysis considers the cases XY separately, one might have to ...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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DTIC ADA414231: Data Mining via Generalized Support Vector Machines
Generalized Support Vector Machines were used to extract valuable information from datasets and construct fast classification algorithms for massive data. The influence of chemotherapy was investigate...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Achieving the Paris Climate Agreement Goals
Global and Regional 100% Renewable Energy Scenarios with Non-energy GHG Pathways for +1.5°C and +2°C...
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Vector-valued non-homogeneous Tb theorem on metric measure spaces
We prove a vector-valued non-homogeneous Tb theorem on certain quasimetric spaces equipped with what we call an upper doubling measure. Essentially, we merge recent techniques from the domain and rang...
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Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
We give a new approach to the dictionary learning (also known as "sparse coding") problem of recovering an unknown $n\times m$ matrix $A$ (for $m \geq n$) from examples of the form \[ y = Ax + e, \] w...
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Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval
Joint modeling of language and vision has been drawing increasing interest. A multimodal data representation allowing for bidirectional retrieval of images by sentences and vice versa is a key aspect....
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Skills Development for Inclusive and Sustainable Growth in Developing Asia-Pacific
...
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Variant Construction from Theoretical Foundation to Applications
...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Resilience: A New Paradigm of Nuclear Safety
From Accident Mitigation to Resilient Society Facing Extreme Situations...
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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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