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A Multi-Feature Fusion Approach for Sea Fog Detection Under Complex Background
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YOLO-PWSL-Enhanced Robotic Fish: An Integrated Object Detection System for Underwater Monitoring
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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Optimizing Mask R-CNN for enhanced quinoa panicle detection and segmentation in precision agriculture
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Caffeine Effect on Cognitive Function during a Stroop Task: fNIRS Study
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Over-activation and dysfunction of platelet-NK cell aggregates in HIV-infected individuals
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SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC
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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From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline
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A deep learning-based detection model and illumination-adaptive behavioral analysis for soldier crabs in the intertidal zone
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
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
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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Quantifying task-locked information transmission between cortical areas with TMS-EEG
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Autonomous slip control inspired by human physiology for improved shared control strategy
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