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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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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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  • 1-10 of  28 results for ""Emad, Nahid""