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Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai
Published 2025-12-01“…Background-suppressed images can effectively minimize most background pixels, while regions with high vector values in optical flow–processed images indicate object positions. The model extracts raw feature data, object details, and movement information from these inputs to improve detection performance. …”
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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework
Published 2025-01-01Subjects: Get full text
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A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning
Published 2025-04-01Subjects: Get full text
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From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X
Published 2025-04-01“…To address this risk, numerous studies have explored methods to detect and predict cyber attacks by analyzing X data. …”
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Real-Time Smoke Detection in Surveillance Videos Using an Enhanced RT-DETR Framework with Triplet Attention and HS-FPN
Published 2024-10-01Subjects: “…smoke detection…”
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Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging
Published 2023-12-01Subjects: “…thermographic data processing…”
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Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Published 2025-03-01Subjects: Get full text
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YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites
Published 2025-04-01Subjects: Get full text
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Detection of Remaining Feed in the Feed Troughs of Flat-Fed Meat Ducks Based on the RGB-D Sensor and YOLO V8
Published 2025-05-01“…Subsequently, YOLOv8 is utilized to identify the positions of the feed troughs, and the volume of the remaining feed is determined through point cloud processing. The accuracy of this detection method was evaluated using various types of feed troughs and feed particle sizes. …”
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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
Published 2025-07-01“…In this paper, we introduce a novel approach that leverages Natural Language Processing (NLP) and the pre-trained Bidirectional Encoder Representations from Transformers (BERT)-base-uncased model to enhance the detection of attacks in SDN environments. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection
Published 2025-07-01“…The digital data gathered by this PPG sensor and image data captured from the smart camera are then processed by a Raspberry Pi Zero 2 W. It does most of the data analysis and decision-making. …”
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Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
Published 2024-07-01“…The results prove the robustness and reliability of using VMD for drive-by damage detection. The method outcomes indicate that through the VMD method, cracks with a depth of 10% to 20% of the beam height can be detected even in the case of a rough road profile. …”
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Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
Published 2025-05-01“…In the production process of cross-cutting boards, real-time measurement of dimensions online has been a long-standing technical problem in the production field. …”
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Automatic ovarian follicle detection using object detection models
Published 2024-12-01“…Our results demonstrate that deep learning methods are useful to speed up the follicle counting process and improve accuracy by correcting manual counting errors.…”
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Digital Edge Detection Based Pneumonia Detection in Chest Radiographs
Published 2024-01-01“…Despite this, X-ray images have the tendency of noise and spatial aliasing that tend to cause blurring of some boundaries, thus the importance of having a better edge detection algorithm is more warranted. The article presents a SIMULINK-based model for the process of edge detection, testing the performance of Canny, Laplacian of Gaussian, Prewitt, Sobel and Robert algorithms and most importantly their simulated results. …”
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An intelligent identification for pest and disease detection in wheat leaf based on environmental data using multimodal data fusion
Published 2025-08-01Subjects: Get full text
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