Employee attendance system using face recognition and GPS using local binary pattern histogram by Narahari Vigraha Prasada, Ikrimach

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Effectiveness of simultaneous surgical treatment of patients with tuberculosis of multiple localizations: respiratory organs and lumbar spine by V. A. Khomenko, T. Sh. Guseynov, R. V. Tarasov, G. V. Chitorelidze, G. A. Asoyan, А. S. Khozikov, M. A. Bagirov

“…Objective: to show the effectiveness of simultaneous surgical treatment of patients with tuberculosis of multiple localizations: tuberculosis of the lungs and the lumbar spine.Materials and Methods. …”
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Accurate identification of locally aneuploid cells by incorporating cytogenetic information in single cell data analysis by Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A. Abbas, Guillermo Garcia-Manero, Wei Sun

“…To address this challenge, we have developed partCNV and partCNVH, two methods for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. …”
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Multiscale deformed attention networks for white blood cell detection by Xin Zheng, Qiqi Xu, Shiyi Zheng, Luxian Zhao, Deyang Liu, Liangliang Zhang

“…Traditional WBC detection methods are labor-intensive and time-consuming. …”
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Automatic Acne Detection Model Based on Improved YOLOv7 by Delong Zhang, Chunyang Jin, Zhidong Zhang, Xiyuan Cao, Chenyang Xue

“…This paper presents a new automatic detection model for acne based on improved YOLOv7. …”
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Multilayer Concept Drift Detection Method Based on Model Explainability by Haolan Zhang, Xinyi Chen, Min Hu, Vijayan Sugumaran

“…However, existing concept drift detection methods face challenges in achieving a proper balance between accuracy and timeliness while also disregarding the precise localization of the drift point. …”
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Toward Causal and Evidential Open-Set Temporal Action Detection by Zhuoyao Wang, Rui-Wei Zhao, Rui Feng, Cheng Jin

“…Temporal action detection (TAD) is a critical task in video understanding. …”
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YOLO-WAD for Small-Defect Detection Boost in Photovoltaic Modules by Yin Wang, Wang Yun, Gang Xie, Zhicheng Zhao

“…This greatly enhances the model’s ability to classify and localize small-target defects. The experimental results show that YOLO-WAD detects our dataset with an overall accuracy of 95.6%, with the small-target defect detection accuracy reaching 86.3%, which is 4.1% and 9.5% higher than YOLOv10n and current mainstream models, verifying the feasibility of our algorithm.…”
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Copy-move forgery detection using binary discriminant features by Priya Mariam Raju, Madhu S. Nair

“…To improve the accuracy of detection, a Binary Discriminative Feature descriptor (BDF) is used for feature detection and matching. …”
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Detection of Maize Pathogenic Fungal Spores Based on Deep Learning by Yijie Ren, Ying Xu, Huilin Tian, Qian Zhang, Mingxiu Yang, Rongsheng Zhu, Dawei Xin, Qingshan Chen, Qiaorong Wei, Shuang Song

“…Traditional spore detection methods struggle to identify spore-level targets within complex backgrounds. …”
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White Blood Cell Detection Based on FBDM-YOLOv8s by Borui Sun, Xiangsuo Fan, Jie Meng, Jinfeng Wang, Huajin Chen, Lei Liu

“…This article proposes a white blood cell detection method based on an improved YOLOv8s to enhance the accurate detection of different categories of normal white blood cells. …”
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An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

“…Built upon YOLOv10n, YOLO-Pepper incorporates four major innovations: (1) an Adaptive Multi-Scale Feature Extraction (AMSFE) module that improves feature capture through multi-branch convolutions; (2) a Dynamic Feature Pyramid Network (DFPN) enabling context-aware feature fusion; (3) a specialized Small Detection Head (SDH) tailored for minute targets; and (4) an Inner-CIoU loss function that enhances localization accuracy by 18% compared to standard CIoU. …”
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A High-Performance and Lightweight Maritime Target Detection Algorithm by Shidan Sun, Zhiping Xu, Xiaochun Cao, Jiachun Zheng, Jiawen Yang, Ni Jin

“…In this way, lightweight design can be realized, and multi-scale target-detecting capacity can be increased. Furthermore, multi-scale sensing head is incorporated to learn and fuse scale features more effectively, thus improving localization accuracy. …”
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Real-Time Detection and Identification of ARP Spoofing Attacks in Microgrids by Kalinath Katuri, Ha Thi Nguyen, Emmanouil Anagnostou

“…The results have shown that the proposed NIDS system can detect, localize, and publish the IP address of the attacker in both MITM and FDI attack scenarios. …”
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D-YOLO: A Lightweight Model for Strawberry Health Detection by Enhui Wu, Ruijun Ma, Daming Dong, Xiande Zhao

“…The proposed architectural improvements provide a practical paradigm for intelligent disease detection in precision agriculture.…”
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An Artificial Intelligence QRS Detection Algorithm for Wearable Electrocardiogram Devices by Zihao Li, Wenliang Zhu, Yiheng Xu, Yunbo Guo, Junbo Li, Peng Song, Ying Liang, Binquan You, Lirong Wang

“…At the core of AI-driven electrocardiogram diagnosis lies the precise localization of the QRS complex. While QRS detection methods for multiple leads have been researched adequately in the last few decades, their multi-lead strategies still need to be designed manually. …”
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Enhancing placental pathology detection with GAMatrix-YOLOv8 model by Weirui Wu, Zhifa Jiang, Jingwen Liu, Jiahui Ji, Xiaoyan Wei, Xiangyun Ye, Zhen Zhang

“…However, there are limitations in achieving real-time recognition and precise localization. This study aims to enhance and validate the YOLOv8 model while investigating its significance in the pathological detection of placental tissues. …”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…This enables the network to effectively fuse shallow positional features and high-level semantic information to enhance the information extraction capability and better distinguish between target and interference, improving the anti-interference capability of the model. Add a P2 layer detection head to improve the detection and localization accuracy of smaller targets. …”
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Zero‐shot insect detection via weak language supervision by Benjamin Feuer, Ameya Joshi, Minsu Cho, Shivani Chiranjeevi, Zi Kang Deng, Aditya Balu, Asheesh K. Singh, Soumik Sarkar, Nirav Merchant, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde

“…(b) Using a vision‐language object detection method coupled with weak language supervision, we are able to automatically annotate images in this dataset with bounding box information localizing the insect within each image. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…Therefore, to address the issues of high parameter count, large model size, and low detection accuracy for small and occluded targets in open-pit mining scenarios, we propose the Lightweight Unmanned Mining Truck Detection Algorithm LWHP (Lightweight High-Precision). …”
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