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1601
EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application
Published 2024-01-01Subjects: Get full text
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1602
Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation
Published 2025-07-01Subjects: Get full text
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1603
Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm
Published 2025-04-01Subjects: Get full text
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1604
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1605
Automated Damage Detection on Concrete Structures Using Computer Vision and Drone Imagery
Published 2023-11-01Subjects: Get full text
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1606
Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis
Published 2025-01-01Subjects: Get full text
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1607
Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision
Published 2024-12-01“…The YOLOv7 model, fine-tuned with the Pilgrimage Walk Optimization (PWO)-Lite algorithm, achieved the highest accuracy, recording a 65.6 % mAP50 on the testing set. …”
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1608
Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet
Published 2025-01-01Subjects: Get full text
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1609
Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection
Published 2025-05-01“…Additionally, to find parking spaces for cars in real-time, the study uses the Faster R-CNN (Region Convolutional Neural Network) algorithm, which is well-known for its quick object detection abilities. …”
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1610
The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city
Published 2025-12-01Subjects: Get full text
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1611
Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge
Published 2025-01-01Subjects: “…Crater detection algorithms (CDAs)…”
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1612
Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement
Published 2025-11-01“…Legally, the primary challenge lies in detecting and categorizing possible algorithmic signals, particularly when they function as unilateral communications. …”
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1613
A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset
Published 2025-06-01“…The NASA Harmonized Landsat Sentinel-2 (HLS) data provides global coverage atmospherically corrected surface reflectance with a 30m cloud and cloud shadow mask derived using the Fmask algorithm applied to top-of-atmosphere (TOA) reflectance. …”
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1614
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Enhancing Fracture Detection in Remote Settings: Evaluating the Efficacy of FIXUS AI Deep Learning Algorithms in Identifying Fifth Metatarsal Fractures Using Mixed-Quality X-rays
Published 2024-12-01“…This study aims to develop a model to detect fifth metatarsal fractures based on cell phone photos of radiographs directly taken from a regular screen. …”
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1616
Programming and Setting Up the Object Detection Algorithm YOLO to Determine Feeding Activities of Beef Cattle: A Comparison between YOLOv8m and YOLOv10m
Published 2024-09-01“…This study highlights the importance of monitoring cattle feeding behavior using the YOLO algorithm for object detection. Videos of six Charolais bulls were recorded on a French farm, and three feeding behaviors (biting, chewing, visiting) were identified and labeled using Roboflow. …”
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A Unmanned Aerial Vehicle-Based Image Information Acquisition Technique for the Middle and Lower Sections of Rice Plants and a Predictive Algorithm Model for Pest and Disease Detection
Published 2025-04-01“…In disease prediction, the YOLOv8 target detection algorithm and lightweight Transformer network are adopted to determine the detection performance of small targets. …”
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1620
Improving Oil Pipeline Surveillance with a Novel 3D Drone Simulation Using Dynamically Constrained Accumulative Membership Fuzzy Logic Algorithm (DCAMFL) for Crack Detection
Published 2025-05-01“…In this paper, we propose a novel approach for crack detection in oil pipes using a combination of 3D drone simulation, convolutional neural network (CNN) feature extraction, and the dynamically constrained accumulative membership fuzzy logic algorithm (DCAMFL). …”
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