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Delphi High Performance : Build fast Delphi applications using concurrency, parallel programming and memory management.
Published 2018Table of Contents: “…; Different types of speed; Algorithm complexity; Big O and Delphi data structures; Data structures in practice; Mr. …”
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203
The bitcoin big bang : how alternative currencies are about to change the world
Published 2014Table of Contents: “…; What Is Cryptography?; Still Want to Be a Miner?; Do We Need Another Bitcoin?; 7 Nautiluscoin-0 to 1 Million in 60 Days; Creating the Coin; Did It Work?…”
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204
Big Data and HPC.
Published 2018Table of Contents: “…Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index.…”
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205
Building Machine Learning Systems with Python.
Published 2013Full text (MFA users only)
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206
Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI).
Published 2012Full text (MFA users only)
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207
Data clustering in C++ : an object-oriented approach
Published 2011Full text (MFA users only)
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208
CUDA programming : a developer's guide to parallel computing with GPUs
Published 2013Table of Contents: “…ALGORITHMIC ISSUESFINDING AND AVOIDING ERRORS; DEVELOPING FOR FUTURE GPUS; FURTHER RESOURCES; CONCLUSION; References; Index.…”
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209
Iaeng transactions on electrical engineering. Vol. 1, Special issue of the International Multiconference of Engineers and Computer Scientists 2012
Published 2013Table of Contents: “…Pawar -- Web services for chronic pain monitoring / Nuno Goncalo Coelho Costa Pombo, Pedro Jose Guerra de Araujo and Joaquim Manuel Vieira da Silva Viana -- Parallel binomial American option pricing on CPU-GPU hybrid platform / Nan Zhang, Chi-Un Lei and Ka Lok Man -- The subsystem grouping scheme using use case dependency graph and domain-specific semantic model for large complex systems / Nanchaya Khrueahong and Wiwat Vatanawood -- MOBM: a methodology for building practical domain ontologies from database information / Minyoung Ra [and others] -- A trial of the dynamic weighted sum method for multi-objective optimization / Hong Zhang -- A multi-agent platform to manage distributed and heterogeneous knowledge by using semantic web / Inaya Lahoud [and others] -- An intelligent train marshaling based on the processing time considering group layout of freight cars / Yoichi Hirashima -- A web-based multilingual intelligent tutor system based on Jackson's learning styles profiler and expert systems / H. …”
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210
Handbook for pandemic and mass-casualty planning and response
Published 2012Table of Contents: “…Burn Injuries during Mass-Casualty IncidentsBlast Injuries; Section 3: Communication and Information Sharing; Information Sharing in Practice and for Practice: Mass-Casualty Cases; Communication between Emergency Medical Services and Media during Mass-Casualty Events in Croatia; Just-in-Time Information; Collaboration Topologies for Interdisciplinary and Interlevel Information Exchange; Networks and Their Role in Counteracting Contemporary Global Threats: A New Model; Architecture of R & D Project Management Systems at Medical Institutions; Lessons Learned; Lessons Learned; Subject Index…”
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High performance computing on complex environments
Published 2014Table of Contents: “…Chapter 4: Parallel Algorithms for Parabolic Problems on Graphs in Neuroscience4.1 Introduction; 4.2 Formulation of the Discrete Model; 4.3 Parallel Algorithms; 4.4 Computational Results; 4.5 Conclusions; Acknowledgments; References; Part III: Communication and Storage Considerations in High-Performance Computing; Chapter 5: An Overview of Topology Mapping Algorithms and Techniques in High-Performance Computing; 5.1 Introduction; 5.2 General Overview; 5.3 Formalization of the Problem; 5.4 Algorithmic Strategies for Topology Mapping; 5.5 Mapping Enforcement Techniques; 5.6 Survey of Solutions.…”
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213
Data fusion support to activity-based intelligence
Published 2016Full text (MFA users only)
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214
Robot Intelligence for Coordinated Manipulation and Its Industrial Application.
Published 2020Table of Contents: “…ASPW-DRL: assembly sequence planning for workpieces via a deep reinforcement learning approach -- Cooperative multi-agent search using Bayesian approach with connectivity maintenance -- An extended DMP framework for robot learning and improving variable stiffness manipulation -- Cooperative control of dual-arm robots in different human-robot collaborative tasks -- Reinforcement learning for human-robot shared control -- On stability for learning human control strategy by demonstrations using SVM -- A novel active balance assistive control strategy based on virtual stiffness model of XCoM…”
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Materials Science and Intelligent Technologies Applications : Selected, Peer Reviewed Papers from the 2014 3rd International Conference on Key Engineering Materials and Computer Sc...
Published 2014Table of Contents: “…Automatic Badminton Action Recognition Using RGB-D SensorKinect-Based Badminton Action Analysis System; A Review of Hot Topic Detection and Tracking Technology; Study on the Improvement of TFIDF Algorithm in Data Mining; A New Protocol for Secure Distributed Multiplication of Two Polynomial Shared Values; Human Posture Recognition Based on DAG-SVMS; The Design and Implementation of Astronomical Multi-Catalog Storage and Cross-Match Based on Hadoop; The Multi-Scale Hough Transform Lane Detection Method Based on the Algorithm of Otsu and Canny; Design of Heart Sound Analyzer.…”
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Accelerating MATLAB with GPU computing : a primer with examples
Published 2014Full text (MFA users only)
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217
Parallel Computing : Advances and Current Issues, Proceedings of the International Conference Parco2001.
Published 2002Table of Contents: “…Committees ; Preface ; Invited Papers ; Deploying Parallel Numerical Library Routines to Cluster Computing in a Self Adapting Fashion ; 1 Overview ; 2 Numerical libraries in shared homogeneous distributed environments ; 3 Sample software implementation and results.…”
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218
Data Science : The Executive Summary - a Technical Book for Non-Technical Professionals.
Published 2020Table of Contents: “…Chapter 3 Working with Modern Data -- 3.1 Unstructured Data and Passive Collection -- 3.2 Data Types and Sources -- 3.3 Data Formats -- 3.3.1 CSV Files -- 3.3.2 JSON Files -- 3.3.3 XML and HTML -- 3.4 Databases -- 3.4.1 Relational Databases and Document Stores -- 3.4.2 Database Operations -- 3.5 Data Analytics Software Architectures -- 3.5.1 Shared Storage -- 3.5.2 Shared Relational Database -- 3.5.3 Document Store + Analytics RDB -- 3.5.4 Storage + Parallel Processing -- Chapter 4 Telling the Story, Summarizing Data -- 4.1 Choosing What to Measure…”
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Iterative learning control for multi-agent systems coordination
Published 2017Full text (MFA users only)
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Advances in time series forecasting. Volume 2
Published 2017Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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