Showing 41 - 60 results of 2,185 for search 'operation detection optimization', query time: 0.09s Refine Results
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    Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

    Published 2025-05-01
    “…Bio-inspired methodologies have exhibited significant potential in addressing critical challenges in illness detection across many data types. It seeks to tackle the problem by creating bio-inspired optimization methods to enhance efficient and equitable deep learning for illness diagnosis. …”
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    Comprehensive Evaluation of Operation Safety of Earth-rock Dams Based on Weight Optimization-cloud Model by ZHANG Jianwei, WU Weitao, HOU Ge, HUANG Jinlin, WANG Bingpeng, LIU Hongze, HU Zixu

    Published 2025-07-01
    “…This study addresses the distortion of evaluation results caused by overlapping information among evaluation indices and the use of constant weights assigned manually in the comprehensive evaluation of the operational safety of earth and rock dams. An optimization weight approach is proposed to mitigate this issue.MethodsThe initial weights of the indices were calculated using the analytic hierarchy process, and the connections among the indices were analyzed with the help of the decision-making trial and evaluation laboratory. …”
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    DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

    Published 2025-01-01
    “…Finally, for the suboptimal training approach, we introduce Cross Prediction Optimization (CPO). CPO efficiently leverages the knowledge of the teacher model through a Cross-Head operation, thereby achieving more effective teacher-student interaction. …”
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    Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

    Published 2024-08-01
    “…To address this issue, this paper proposes a method for optimizing railway obstacle detection models based on zero-cost neural architecture search. …”
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    Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook by Shengze Lu, Shiyu Zhou, Yan Ding, Moon Keun Kim, Bin Yang, Zhe Tian, Jiying Liu

    Published 2025-03-01
    “…This review study focuses on the intelligent control technology, multi-objective optimization of system operation, system optimization based on occupant behavior and thermal comfort, and system fault detection and diagnosis. …”
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    Accuracy–Efficiency Trade-Off: Optimizing YOLOv8 for Structural Crack Detection by Jiahui Zhang, Zoia Vladimirovna Beliaeva, Yue Huang

    Published 2025-06-01
    “…To address the accuracy–efficiency trade-off faced by deep learning models in structural crack detection, this paper proposes an optimized version of the YOLOv8 model. …”
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    Automatic Feature Engineering-Based Optimization Method for Car Loan Fraud Detection by Jian Yang, Zixin Tang, Zhenkai Guan, Wenjia Hua, Mingyu Wei, Chunjie Wang, Chenglong Gu

    Published 2021-01-01
    “…Because of its close relevance to the security of financial operations, fraud detection has received widespread attention from industry. …”
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    Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

    Published 2025-09-01
    “…This research contributes to the field by establishing that simpler machine learning models can achieve state-of-the-art performance in network intrusion detection, offering practical implications for real-world deployment in network security operations.…”
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    Automated Detection of Young Eucalyptus Plants for Optimized Irrigation Management in Forest Plantations by Jhonata S. Santana, Domingos S. M. Valente, Daniel M. Queiroz, Andre L. F. Coelho, Igor A. Barbosa, Abdul Momin

    Published 2024-10-01
    “…This project aimed to develop an automatic system for eucalyptus plant detection to facilitate effective irrigation management. …”
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    An optimized LSTM-based deep learning model for anomaly network intrusion detection by Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Kareem M. AboRas, N. Gowtham

    Published 2025-01-01
    “…The presented model uses three optimization methods, i.e., Particle Swarm Optimization (PSO), JAYA, and Salp Swarm Algorithm (SSA), to optimize the hyperparameters of LSTM. …”
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