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Conference

Advancements in traffic simulations with multiMATSim’s distributed framework

Subjects: Road Traffic Simulation; Big Data Analysis; High Performance Computingrome; Italy

  • Source: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART ; ICAART 2024 - the 16th International Conference on Agents and Artificial Intelligence ;

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Conference

Advancements in traffic simulations with multiMATSim’s distributed framework

Subjects: Road Traffic Simulation; Big Data Analysis; High Performance Computingrome; Italy

  • Source: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART ; ICAART 2024 - the 16th International Conference on Agents and Artificial Intelligence ;

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Conference

A high performance algorithmic variant of MATSim road traffic simulator

Subjects: road traffic simulation; big data analysis; high performance computingSt petersburg; United States

  • Source: Proceedings : 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ; IPDPSW 2023 - IEEE International Parallel and Distributed Processing Symposium Workshops ;

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Conference

A high performance algorithmic variant of MATSim road traffic simulator

Subjects: road traffic simulation; big data analysis; high performance computingSt petersburg; United States

  • Source: Proceedings : 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ; IPDPSW 2023 - IEEE International Parallel and Distributed Processing Symposium Workshops ;

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Conference

A high performance approach with MATSim for traffic road simulation

Subjects: road traffic simulation; big data analysis; high performance computingKanazawa; Japan

  • Source: (IIAI-AAI), 2022 - Proceedings of the 12th International Congress on Advanced Applied Informatics ; 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) ;

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A high performance approach with MATSim for traffic road simulation

Subjects: road traffic simulation; big data analysis; high performance computingKanazawa; Japan

  • Source: (IIAI-AAI), 2022 - Proceedings of the 12th International Congress on Advanced Applied Informatics ; 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) ;

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A Parallel and Scalable Framework for Insider Threat Detection

Subjects: Bagging; Boosting; High performance computing

  • Source: https://hal.science/hal-04197467 ; 2023.

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Design of an Ensemble Learning Behavior Anomaly Detection Framework

Subjects: Cybersecurity data protection access control insider threat user behavior analysis ensemble learning high performance computing; Cybersecurity; data protection

  • Source: https://hal.science/hal-04194528 ; 2023.

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A Unite and Conquer Based Ensemble learning Method for User Behavior Modeling

Subjects: Bagging Boosting High performance computing Unite and conquer Insider threat User behavior modeling; Bagging; Boosting

  • Source: https://hal.science/hal-04194549 ; 2023.

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Design of an Ensemble Learning Behavior Anomaly Detection Framework

Subjects: Cybersecurity data protection access control insider threat user behavior analysis ensemble learning high performance computing; Cybersecurity; data protection

  • Source: https://hal.science/hal-04194528 ; 2023.

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A Parallel and Scalable Framework for Insider Threat Detection

Subjects: Bagging; Boosting; High performance computing

  • Source: https://hal.science/hal-04197467 ; 2023.

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A Unite and Conquer Based Ensemble learning Method for User Behavior Modeling

Subjects: Bagging Boosting High performance computing Unite and conquer Insider threat User behavior modeling; Bagging; Boosting

  • Source: https://hal.science/hal-04194549 ; 2023.

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Design of an Ensemble Learning Behavior Anomaly Detection Framework

Subjects: Cybersecurity data protection access control insider threat user behavior analysis ensemble learning high performance computing; Cybersecurity; data protection

  • Source: https://hal.science/hal-04194528 ; 2023.

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A Unite and Conquer Based Ensemble learning Method for User Behavior Modeling

Subjects: Bagging Boosting High performance computing Unite and conquer Insider threat User behavior modeling; Bagging; Boosting

  • Source: https://hal.science/hal-04194549 ; 2023.

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A Parallel and Scalable Framework for Insider Threat Detection

Subjects: Bagging; Boosting; High performance computing

  • Source: https://hal.science/hal-04197467 ; 2023.

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Conference

Parallel Jaccard and Related Graph Clustering Techniques

Subjects: Graph algorithms; Graph theory; JaccardDenver; United States

  • Source: 8th Workshop on Latest Advances in Scalable Algo- rithms for Large-Scale Systems (ScalA17)https://hal.science/hal-016675538th Workshop on Latest Advances in Scalable Algo- rithms for

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Conference

Runtime correctness checking for emerging programming paradigms

Subjects: [INFO]Computer Science [cs]Denver; CO; United States

  • Source: Correctness'17: Proceedings of the First International Workshop on Software Correctness for HPC Applications ; Correctness'17 - the First International Workshop on Software Correctness for HPC

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Conference

Runtime correctness checking for emerging programming paradigms

Subjects: [INFO]Computer Science [cs]Denver; CO; United States

  • Source: Correctness'17: Proceedings of the First International Workshop on Software Correctness for HPC Applications ; Correctness'17 - the First International Workshop on Software Correctness for HPC

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Conference

Parallel Jaccard and Related Graph Clustering Techniques

Subjects: Graph algorithms; Graph theory; JaccardDenver; United States

  • Source: 8th Workshop on Latest Advances in Scalable Algo- rithms for Large-Scale Systems (ScalA17)https://hal.science/hal-016675538th Workshop on Latest Advances in Scalable Algo- rithms for

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Conference

Parallel Jaccard and Related Graph Clustering Techniques

Subjects: Graph algorithms; Graph theory; JaccardDenver; United States

  • Source: 8th Workshop on Latest Advances in Scalable Algo- rithms for Large-Scale Systems (ScalA17)https://hal.science/hal-016675538th Workshop on Latest Advances in Scalable Algo- rithms for

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Conference

Runtime correctness checking for emerging programming paradigms

Subjects: [INFO]Computer Science [cs]Denver; CO; United States

  • Source: Correctness'17: Proceedings of the First International Workshop on Software Correctness for HPC Applications ; Correctness'17 - the First International Workshop on Software Correctness for HPC

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Conference

Runtime correctness checking for emerging programming paradigms

Subjects: [INFO]Computer Science [cs]Denver; CO; United States

  • Source: Correctness'17: Proceedings of the First International Workshop on Software Correctness for HPC Applications ; Correctness'17 - the First International Workshop on Software Correctness for HPC

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Conference

Parallel Jaccard and Related Graph Clustering Techniques

Subjects: Graph algorithms; Graph theory; JaccardDenver; United States

  • Source: 8th Workshop on Latest Advances in Scalable Algo- rithms for Large-Scale Systems (ScalA17)https://hal.science/hal-016675538th Workshop on Latest Advances in Scalable Algo- rithms for

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Academic Journal

Polynomial data compression for large-scale physics experiments

Subjects: Big data; HPC; Lossless compression

  • Source: ISSN: 2510-2036.

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Academic Journal

Polynomial data compression for large-scale physics experiments

Subjects: Big data; HPC; Lossless compression

  • Source: ISSN: 2510-2036.

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  • 1-25 of  28 results for ""Emad, Nahid""