International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Information computing and applications
First published in 2012...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network.
This article is from Sensors (Basel, Switzerland) , volume 12 . Abstract An infrared ceiling sensor network system is reported in this study to realize behavior analysis and fall detection of a single...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Linear Selection Indices in Modern Plant Breeding
...
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Beyond The Plague State
https://socialistproject.ca/2020/05/beyond-the-plague-state/ Beyond the Plague State Public Goods • May 14, 2020 • Alberto Toscano It is commonplace when commenting on crises of various s...
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Genome Maps, a new generation genome browser.
This article is from Nucleic Acids Research , volume 41 . Abstract Genome browsers have gained importance as more genomes and related genomic information become available. However, the increase of inf...
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An AI-Based Early Warning System for Identifying at- Risk Students in Higher Education
Student dropout and academic underperformance remain persistent challenges in higher education, often caused by factors such as academic difficulty, lack of engagement, and socio-economic conditions. ...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Internet of Things
Information Processing in an Increasingly Connected World...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Anisotropy Across Fields and Scales
...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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The Privacy Engineer's Manifesto
Getting from Policy to Code to QA to Value...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Understanding Machine Learning
From Theory to Algorithms...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation
A cloud server spent a lot of time, energy and money to train a Viola-Jones type object detector with high accuracy. Clients can upload their photos to the cloud server to find objects. However, the c...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Statistical Learning Theory Approach for Data Classification with l-diversity
Corporations are retaining ever-larger corpuses of personal data; the frequency or breaches and corresponding privacy impact have been rising accordingly. One way to mitigate this risk is through use ...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Enable Portrait Privacy Protection in Photo Capturing and Sharing
The wide adoption of wearable smart devices with onboard cameras greatly increases people's concern on privacy infringement. Here we explore the possibility of easing persons from photos captured by s...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Defending against label-flipping attacks in federated learning systems using uniform manifold approx
The user experience can be greatly improved by using learning models that have been trained using data from mobile devices and other internet of things (IoT) devices. Numerous efforts have been made t...
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Cognitive Custody: Access Provenance, Asymmetric Trust, and the Governance of Thought, Files, Identi
Cognitive Custody is a foundational governance framework and theoretical treatise released within the broader Universal Law of Collapse: A Return to First Principles corpus developed by Maison FORMS. ...
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Platform Embedded Security Technology Revealed
Safeguarding the Future of Computing with Intel Embedded Security and Management Engine...
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Biodiversity and Health in the Face of Climate Change
...
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Security and privacy in ad-hoc and sensor networks : second European Workshop, ESAS 2005, Visegrad,
1 online resource (viii, 217 pages) :...
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Big Data in Context
Legal, Social and Technological Insights...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Computer Networks
First published in 1981...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Ubiquitous intelligence and computing : 5th international conference, UIC 2008, Oslo, Norway, June 2
1 online resource (xviii, 763 pages) :...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Identification Of Online Recruitment Fraud (ORF) Through Predictive Models
Job postings online have become popular these days due to connecting to job seekers around the world. There are also instances where the fraudulent employer posts a job online and expects people to ap...
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Discrete R\'enyi Classifiers
Consider the binary classification problem of predicting a target variable $Y$ from a discrete feature vector $X = (X_1,...,X_d)$. When the probability distribution $\mathbb{P}(X,Y)$ is known, the opt...
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Privacy-Aware Guessing Efficiency
We investigate the problem of guessing a discrete random variable $Y$ under a privacy constraint dictated by another correlated discrete random variable $X$, where both guessing efficiency and privacy...
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Variant Construction from Theoretical Foundation to Applications
...
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The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy
This paper proves that an "old dog", namely -- the classical Johnson-Lindenstrauss transform, "performs new tricks" -- it gives a novel way of preserving differential privacy. We show that if we take ...
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Foundations of Machine Learning
...
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Bayesian Methods in the Search for MH370
...
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Signal processing and multimedia : international conferences, SIP and MulGraB 2010, held as part of
1 online resource (xiv, 328 pages) :...
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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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Convex Discrete Optimization
We develop an algorithmic theory of convex optimization over discrete sets. Using a combination of algebraic and geometric tools we are able to provide polynomial time algorithms for solving broad cla...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Data Communications and Networking
First published in 2000...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Computer Networks & Communications (NetCom)
First published in 2013...
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A secure communication protocol for civil drones
This paper introduces a secure communication protocol that provides secured communication pathways to manipulate drones through unsecured communication. The deployment of the proposed protocol works t...
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Signal Computing
Digital Signals in the Software Domain...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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DTIC ADA278953: Security and Privacy for Partial Order Time
Partial order time expresses issues central to many problems in asynchronous distributed systems, but suffers from inherent security and privacy risks. Secure partial order clocks provide a general me...
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Algorithmic Graph Theory and Sage
...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Security Infrastructure Technology for Integrated Utilization of Big Data
Applied to the Living Safety and Medical Fields...
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A Multimodal and Multilingual Offline Retrieval-Augmented Generation System Using Local Large Langua
Most AI systems today rely on cloud servers, which raises problems such as privacy risks, delay, and internet dependency. A Multimodal and Multilingual Offline Retrieval-Augmented Generation System ...
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Computer networking
First published in 1900...
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