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检索条件"主题词=Spider Wasp optimization algorithm"
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Enhancing Software Fault Prediction Through Feature Selection With spider wasp optimization algorithm
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IEEE ACCESS 2024年 12卷 105309-105325页
作者: Das, Himansu Das, Swarnava Kumar Gourisaria, Mahendra Bhatia Khan, Surbhi Almusharraf, Ahlam Alharbi, Abdullah I. Mahesh, T. R. KIIT Deemed be Univ Sch Comp Engn Bhubaneswar 751024 Odisha India Univ Salford Sch Sci Engn & Environm Dept Data Sci Salford M5 4WT England Lebanese Amer Univ Dept Elect & Comp Engn Byblos 135053 Lebanon Princess Nourah bint Abdulrahman Univ Coll Business Adm Dept Management POB 84428 Riyadh 11671 Saudi Arabia King Abdulaziz Univ Fac Comp & Informat Technol Dept Comp Sci Jeddah 21589 Saudi Arabia JAIN Fac Engn & Technol Sch Comp Sci Bengaluru 562112 India
Software fault prediction (SFP) is a critical focus in software engineering, aiming to enhance productivity and minimize costs by detecting faults early. Feature selection (FS) is pivotal in SFP, enabling the identifi... 详细信息
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A resource allocation algorithm based on hybrid spider wasp optimization for cognitive radio networks
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PHYSICAL COMMUNICATION 2025年 70卷
作者: Shang, Shuo Zhou, Mingyue Changchun Univ Technol Sch Comp Sci & Engn Changchun Peoples R China
Cognitive radio (CR) is an effective technology for addressing spectrum scarcity, which can improve the utilization of spectrum resources through intelligent sensing and dynamic parameter adjustment. Since traditional... 详细信息
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