Showing 61 - 80 results of 110 for search '(intelligent OR intelligence) active function detection (method OR methods)', query time: 0.23s Refine Results
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    YOLO-PWSL-Enhanced Robotic Fish: An Integrated Object Detection System for Underwater Monitoring by Lingrui Lei, Ying Tang, Weidong Zhang, Quan Tang, Haichi Hao

    Published 2025-06-01
    “…In fact, we designed a multilevel attention fusion block (LGFB) that enhances perception in complex scenarios, to optimize the accuracy of the detected frames, the Wise-ShapeIoU loss function was used, and in order to reduce the parameters and FLOPs of the model, a lightweight convolution method called PConv was introduced. …”
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    SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC by Andrii Kopp, Ľuboš Cibák, Dmytro Orlovskyi, Dmytro Kudii

    Published 2025-07-01
    “…In this paper, we propose a method for evaluating the correctness of AND-gateways based on fuzzy logic using Gaussian membership functions. …”
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    A deep learning-based detection model and illumination-adaptive behavioral analysis for soldier crabs in the intertidal zone by Liangjun Li, Zhihao Ren, Cheng Tang, Shengning Lu, Yong Liang

    Published 2025-12-01
    “…However, due to their small size and tidal-driven activity patterns, conventional behavior detection methods suffer from low efficiency and considerable observer bias, particularly under dark conditions where detection errors and omissions are prevalent. …”
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    An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

    Published 2025-08-01
    “…Deep learning (DL) is one of the main technologies of today’s smart cybersecurity policies or systems for functioning intelligently. This paper presents a Fox Optimizer-Based Feature Selection with Deep Learning for Securing Cyberattack Detection (FOFSDL-SCD) model. …”
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    Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

    Published 2024-12-01
    “…This work presents a Fusion of Transfer Learning (TL) with the Dandelion Algorithm for Accurate Autism Spectrum Disorder Detection and Classification (FTLDA-AASDDC) method. …”
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