Colorectal Cancer Detection Tool Developed with Neural Networks by Alex Ede Danku, Eva Henrietta Dulf, Alexandru George Berciu, Noemi Lorenzovici, Teodora Mocan

“…The precision of the models is 97.2% for RGB and 96.7% for grayscale, respectively, in the first instance, and 83% for RGB and 82% for grayscale in the second instance. …”
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An Unusual Case of an Incidentally Detected Angioplasty Wire in the Aorta by Abhinav Karan, Micheal Omar, Gladys Velarde, Srinivasan Sattiraju

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A study of YOLO architectures for wildfire and smoke detection in ground and aerial imagery by Leo Thomas Ramos, Edmundo Casas, Cristian Romero, Francklin Rivas-Echeverría, Eduardo Bendek

“…In contrast, YOLOv9 and YOLOv11 perform worse, particularly in their larger variants, despite having more parameters and longer training times, YOLOv9e, for instance, requires over 1.5 hours to train. Notably, YOLOv10 and YOLOv11 surpassed YOLOv8 in certain cases, particularly in reducing false detections under partial occlusions or visual elements resembling smoke. …”
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Vision transformers for automated detection of pig interactions in groups by Gbadegesin Taiwo, Sunil Vadera, Ali Alameer

“…This study presents a new method for the dynamic detection of pig head to rear interaction using the Vision Transformer (ViT). …”
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Forest Fire Detection Using Wireless Sensors and Networks by Mingyue Wang

“…This technology can provide a real time monitoring for forest fire, where it can provide information at the ignition instance or at very small delay, depends on the node used wake up/sleep schedule. …”
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Phishing detection algorithm based on attention and feature fusion by ZHANG Sirui, YAN Zhiwei, DONG Kejun, YUCHI Xuebiao

“…As national anti-cyber fraud efforts continue to increase, the technical confrontation of various phishing activities has also escalated, bringing significant pressure to phishing detection work. For instance, current phishing attacks often employ images in place of text and apply small-scale shifts or rotations to high-weight website logo images to evade traditional detection algorithms that rely on text or image features. …”
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An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform by XIONG Minjun, LI Chen, ZHANG Huiyuan, PENG Liantie, SU Zhen

“…Aiming at the problems of low efficiency, poor accuracy and weak robustness of traditional train operation environment sensing algorithms, a real-time detection algorithm of train operation environment based on image instance segmentation is proposed. …”
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OSAD: Open-Set Aircraft Detection in SAR Images by Xiayang Xiao, Zhuoxuan Li, Xiaolin Mi, Dandan Gu, Haipeng Wang

“…Open-set detection aims to enable detectors trained on a closed set to detect all known objects and identify unknown objects in open-set environments. …”
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Intelligent Recognition Method for Ferrography Wear Debris Images Using Improved Mask R-CNN Methods by Xiangwen Xiao, Weixuan Zhang, Qing Wang, Yuan Liu, Yishou Wang

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Unsupervised detection of rare events in liquid biopsy assays by Javier Murgoitio-Esandi, Dean Tessone, Amin Naghdloo, Stephanie N. Shishido, Brian Zhang, Haofeng Xu, Agnimitra Dasgupta, Jeremy Mason, Rajiv M. Nagaraju, George Courcoubetis, James Hicks, Peter Kuhn, Assad A. Oberai

“…Abstract The use of liquid biopsies in the detection, diagnosis and treatment monitoring of different types of cancers and other diseases often requires identifying and enumerating instances of analytes that are rare. …”
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Detection of Postoperative Intestinal Ischemia in Small Bowel Transplants by Hanne Birke-Sorensen

“…All methods for the early detection of postoperative ischemia in small bowel transplants are described together with the requirements of the ideal monitoring method. …”
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E-Exam Cheating Detection System for Moodle LMS by Ahmed S. Shatnawi, Fahed Awad, Dheya Mustafa, Abdel-Wahab Al-Falaky, Mohammed Shatarah, Mustafa Mohaidat

“…Although existing solutions aim to prevent and detect such misconduct, they often face limitations that make them impractical for many educational institutions. …”
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Detecting anomalous SRF cavity behavior with unsupervised learning by Hal Ferguson, Jiang Li, Adam Carpenter, Chris Tennant, Dillon Thomas, Dennis Turner

“…Despite access to only a fraction of CEBAF’s SRF cavity signals, the framework efficiently detected several instances requiring intervention, demonstrating a significant improvement over traditional, labor-intensive methods of manual plot inspection.…”
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Few-Shot Object Detection via Sample Processing by Honghui Xu, Xinqing Wang, Faming Shao, Baoguo Duan, Peng Zhang

“…Few-shot object detection (FSOD) eliminates the dependence on tremendous instances with manual annotations in conventional object detection. …”
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Ultrasound Biomicroscopy for the Detection and Characterization of Anterior Segment Cysticercosis by Bhatt VD, Bhatt KD, Bhatt DC, Dabir S, Berendschot TTJM, Erckens RJ, Webers CAB

“…Iris involvement caused thinning near the angle, while anterior chamber cysts could displace the lens, leading to iris bombe in some instances.Conclusion: UBM emerges as a valuable diagnostic tool for anterior segment cysticercosis, providing detailed imaging superior to traditional methods. …”
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Advances and Challenges in Automated Drowning Detection and Prevention Systems by Maad Shatnawi, Frdoos Albreiki, Ashwaq Alkhoori, Mariam Alhebshi, Anas Shatnawi

“…Automatic drowning detection approaches could be further categorized into computer vision-based approaches, where camera-captured images are analyzed by machine learning algorithms to detect instances of drowning, and sensing-based approaches, where sensing instruments are attached to swimmers to monitor their physical parameters. …”
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Predictive modeling for rework detection in sustainable building projects by AbdulLateef Olanrewaju, Kafayat Shobowale

“…However, construction companies have documented instances of rework in sustainable buildings, despite the advantages and potential of sustainable buildings. …”
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A retrieval-augmented prompting network for hateful meme detection by Qiuhua Kuang, Yihao Lin, Junxi Liu, Xiazhi Lai, Runlu Zhong

“…This paper proposes a retrieval-augmented prompting network (RAPN) for hateful meme detection. The proposed model utilizes a retrieval-augmented selector to identify semantically relevant prompting examples from diverse sources, enhancing the selection to better match the inference instances. …”
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PPDD: Egocentric Crack Segmentation in the Port Pavement with Deep Learning-Based Methods by Hyemin Yoon, Hoe-Kyoung Kim, Sangjin Kim

“…Using this dataset, we evaluated the performance of semantic and instance segmentation models. Notably, SegFormer achieved the highest Pixel Accuracy (PA) and mean Intersection over Union (mIoU) for semantic segmentation, while YOLOv7 exhibited outstanding detection performance for alligator crack class, recording an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>P</mi></mrow><mrow><mn>50</mn></mrow></msub></mrow></semantics></math></inline-formula> of 87.2% and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>P</mi></mrow></semantics></math></inline-formula> of 57.5%. …”
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Applications and development trend of biosensors in the detection and diagnosis of gastrointestinal tumors by Chengrong Zhang, Lili Jin, Feng Wang

“…For instance, the detection threshold for miRNA has been refined to the amole level, while the detection methodologies for diverse protein markers are under continuous improvement. …”
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