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Intelligent Distributed Computing XIII

1st Edition 2020, 2019

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Hybrid multi-core CPU and GPU-based B&B approaches for the blocking job shop scheduling problem

Journal of parallel and distributed computing, 2018-07, Vol.117, p.73-86

2018

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Selection and Justification of Information Security Indicators for Materials Processing Systems

MATEC Web of Conferences, 2021, Vol.346, p.1019

2021

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GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem

Journal of parallel and distributed computing, 2019-11, Vol.133, p.244-257

2019

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Optimization models and solving approaches in relief distribution concerning victims’ satisfaction: A review

Applied soft computing, 2023-08, Vol.143, p.110398, Article 110398

2023

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GRIDHPC: A decentralized environment for high performance computing

Concurrency and computation, 2020-05, Vol.32 (10), p.n/a

2020

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A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid Multicore CPU and GPU Platforms

Mathematical problems in engineering, 2019-01, Vol.2019 (2019), p.1-13

2019

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Understanding User Preferences in Location-Based Social Networks via a Novel Self-Attention Mechanism

Sustainability, 2022-12, Vol.14 (24), p.16414

2022

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Utilizing deep learning models for ternary classification in COVID-19 infodemic detection

Digital health, 2024-01, Vol.10, p.20552076241284773

2024

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Advances in cloud and big data computing

Concurrency and computation, 2019-01, Vol.31 (2), p.n/a

2019

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Fast parallel algorithms for finding elementary circuits of a directed graph: a GPU-based approach

The Journal of supercomputing, 2023-03, Vol.79 (5), p.4791-4819

2023

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Combating the Infodemic: A Chinese Infodemic Dataset for Misinformation Identification

Healthcare (Basel), 2021-08, Vol.9 (9), p.1094

2021

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Parallel best-first search algorithms for planning problems on multi-core processors

The Journal of supercomputing, 2022-02, Vol.78 (3), p.3122-3151

2022

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Special Issue on Advances in Parallel and Distributed Combinatorial Optimization

Journal of parallel and distributed computing, 2019-11, Vol.133, p.176-178

2019

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SIMD Monte-Carlo Numerical Simulations Accelerated on GPU and Xeon Phi

International journal of parallel programming, 2018-06, Vol.46 (3), p.584-606

2018

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A comparative analysis of the COVID-19 Infodemic in English and Chinese: insights from social media textual data

Frontiers in public health, 2023-11, Vol.11, p.1281259-1281259

2023

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Guest Editor's Introduction: Special Section on Green Computing in Internet of Things

IEEE transactions on emerging topics in computing, 2020-07, Vol.8 (3), p.750-751

2020

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Smart Cities in Europe and the ALMA Logistics Project

ZTE Communications, 2015-12, Vol.13 (4), p.10-15

2015

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Can We Trust Chatbots for Now? Accuracy, Reproducibility, Traceability; A Case Study on Leonardo Da Vinci’s Contribution to Astronomy

Advances in Artificial Intelligence and Machine Learning, 2023, Vol.3 (2), p.1094-1109

Didier, EL BAZ

2023

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On Parallel or Distributed Asynchronous Iterations with Unbounded Delays and Possible Out of Order Messages or Flexible Communication for Convex Optimization Problems and Machine Learning

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2022, p.807-813

El-Baz, Didier

2022

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Solution of multidimensional knapsack problems via cooperation of dynamic programming and branch and bound

European journal of industrial engineering, 2010, Vol.4 (4), p.434

2010

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A procedure-based heuristic for 0-1 Multiple Knapsack Problems

International journal of mathematics in operational research, 2012, Vol.4 (3), p.214

2012

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GPU Implementation of the Branch and Bound Method for Knapsack Problems

2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012, p.1769-1777

2012

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Asynchronous iterations with flexible communication: contracting operators

Journal of computational and applied mathematics, 2005-04, Vol.176 (1), p.91-103

2005

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Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm

Future generation computer systems, 2020-07, Vol.108, p.119-134

2020

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Intelligent Distributed Computing XIII

Hybrid multi-core CPU and GPU-based B&B approaches for the blocking job shop scheduling problem

Selection and Justification of Information Security Indicators for Materials Processing Systems

GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem

Optimization models and solving approaches in relief distribution concerning victims’ satisfaction: A review

GRIDHPC: A decentralized environment for high performance computing

A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid Multicore CPU and GPU Platforms

Understanding User Preferences in Location-Based Social Networks via a Novel Self-Attention Mechanism

Utilizing deep learning models for ternary classification in COVID-19 infodemic detection

Advances in cloud and big data computing

Fast parallel algorithms for finding elementary circuits of a directed graph: a GPU-based approach

Combating the Infodemic: A Chinese Infodemic Dataset for Misinformation Identification

Parallel best-first search algorithms for planning problems on multi-core processors

Special Issue on Advances in Parallel and Distributed Combinatorial Optimization

SIMD Monte-Carlo Numerical Simulations Accelerated on GPU and Xeon Phi

A comparative analysis of the COVID-19 Infodemic in English and Chinese: insights from social media textual data

Guest Editor's Introduction: Special Section on Green Computing in Internet of Things

Smart Cities in Europe and the ALMA Logistics Project

Can We Trust Chatbots for Now? Accuracy, Reproducibility, Traceability; A Case Study on Leonardo Da Vinci’s Contribution to Astronomy

On Parallel or Distributed Asynchronous Iterations with Unbounded Delays and Possible Out of Order Messages or Flexible Communication for Convex Optimization Problems and Machine Learning

Solution of multidimensional knapsack problems via cooperation of dynamic programming and branch and bound

A procedure-based heuristic for 0-1 Multiple Knapsack Problems

GPU Implementation of the Branch and Bound Method for Knapsack Problems

Asynchronous iterations with flexible communication: contracting operators

Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm

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