Showing 761 - 780 results of 20,691 for search 'detection process', query time: 0.15s Refine Results
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    Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

    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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    From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X by Omar Alsodi, Xujuan Zhou, Raj Gururajan, Anup Shrestha, Eyad Btoush

    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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    Detection of Remaining Feed in the Feed Troughs of Flat-Fed Meat Ducks Based on the RGB-D Sensor and YOLO V8 by Xueliang Tan, Junjie Yuan, Shijia Ying, Jizhang Wang

    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 by Mohammed N. Swileh, Shengli Zhang

    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 by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

    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 by Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

    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 by Shitao Ge, Wei Zhang, Licheng Han, Yan Peng, Jianliang Sun

    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 by Maya Haj Hassan, Eric Reiter, Misbah Razzaq

    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 by Poola Rahul Gowtham, Kommineni Prema Teja, Lahari P.L, Yellampalli Siva Sankar

    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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