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    PoolRunner: An Extensible Performance Testing Simulation Tool for Thread-Pool Middleware by Faisal Bahadur, Zulfiqar Ahmad, Abdulmohsen Algarni

    Published 2025-01-01
    “…Thus, in this paper, we present the PoolRunner, a client-server-based extensible performance testing simulation tool for TPS, developed in JAVA. The PoolRunner is required not only by the practitioners in the industry in early performance testing when architectural choices are made for multithreaded servers, but also by researchers in the academia to assess and compare the performance of their new TPS with existing state-of-the-art TPSs. …”
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  3. 183

    Enhancing sustainable residential energy practices through the implementation of an energy-efficient labelling system for domestic consumers in Sri Lanka by Rafius Zamaan, Tharanga Wickramarathna

    Published 2025-06-01
    “…The country faces challenges related to energy dependencies, high energy costs for primary and secondary sources, and lower per capita electricity consumption compared to neighboring countries. …”
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  4. 184

    The Development of the Open Machine-Learning-Based Anti-Spam (Open-MaLBAS) by Isaac C. Ferreira, Marcelo V. C. Aragao, Edvard M. Oliveira, Bruno T. Kuehne, Edmilson M. Moreira, Otavio A. S. Carpinteiro

    Published 2021-01-01
    “…Open-MaLBAS is implemented in Java language, under free software license, for free use. …”
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    Utilising GIS-based spatial land resource analysis for subsidised fertiliser allocation in Jombang Regency, Indonesia by Chendy Tafakresnanto, Antonius Kasno, Zuziana Susanti, Elna Karmawati, Setyono Hari Adi, Muhamad Hidayanto, Suratman Suratman, Achmad Arivin Rivaie

    Published 2024-11-01
    “…A subsidised fertiliser policy is a clear option to increase rice production and maintain farmer benefits. It has proven to be costly and hence needs to be effectively calculated. …”
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  7. 187

    Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

    Published 2025-01-01
    “…Traditional static and dynamic analysis techniques, although widely used, often exhibit high false-positive rates, elevated costs, and limited interpretability. Machine Learning (ML)-based approaches aim to overcome these limitations but encounter challenges related to scalability and adaptability due to their reliance on large labeled datasets and their limited alignment with the requirements of secure development teams. …”
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