Showing 1 - 20 results of 119 for search 'mixed detection algorithm', query time: 0.19s Refine Results
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    Comparison of object detection models. by Siyuan Tang (5963312)

    Published 2025
    “…This article proposed an algorithm based on RT-DETR model with the following enhancement: 1) optimize the backbone network with FCGE blocks to increase the detection accuracy of small-sized and blurred edge nodules; 2) replace the AIFI module with HiLo-AIFI module to reduce redundant computation and improve the detection accuracy of pure ground glass pulmonary nodules and mixed ground glass pulmonary nodules; 3) replace the DGAK module with CCFF module to address the issue of capturing complex features and recognition of irregularly shaped ground glass nodules. …”
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    Logical Fault Detection Approach for Mixed Control Flipping Faults in Reversible Circuits by Mousum Handique (21385838)

    Published 2025
    “…Experimental results are evaluated based on the MixCFF detection and the MixCFF fault coverage range with the help of different benchmark circuits using the suggested ATPG algorithm.…”
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    Performance comparison of mainstream algorithms. by Junjie Lu (160350)

    Published 2025
    “…To address this issue, this paper proposes FCMI-YOLO, a real-time fire detection algorithm optimized for edge devices. Firstly, the FasterNext module is proposed to reduce computational cost and enhance detection precision through lightweight design. …”
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    Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets by Murat Elhüseyni (20744561)

    Published 2025
    “…Besides a total enumaration algorithm (based on a trivial but computationally expensive method) to detect collusions, we develop matheuristic algorithms relying on adding cuts, identification of Nash equilibrium state, partial enumeration methods and their combinations. …”
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    Data Sheet 1_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

    Published 2025
    “…Primary outcomes include concordance between caregiver burden levels detected by the NLP algorithm and validated assessment scores at both timepoints. …”
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    Data Sheet 2_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

    Published 2025
    “…Primary outcomes include concordance between caregiver burden levels detected by the NLP algorithm and validated assessment scores at both timepoints. …”
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    Data Sheet 4_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

    Published 2025
    “…Primary outcomes include concordance between caregiver burden levels detected by the NLP algorithm and validated assessment scores at both timepoints. …”
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    Data Sheet 3_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

    Published 2025
    “…Primary outcomes include concordance between caregiver burden levels detected by the NLP algorithm and validated assessment scores at both timepoints. …”
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