Towards Efficient Object Detection in Large-Scale UAV Aerial Imagery via Multi-Task Classification by Shuo Zhuang, Yongxing Hou, Di Wang

“…Existing methods typically split the original large UAV image into overlapping patches and perform object detection on each image patch. However, the extensive object-free background areas in large-scale aerial imagery reduce detection efficiency. …”
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Detection of vehicles and analysis of traffic volume by real-time video-graphic technique using python algorithm by Osman Kantunsung Ramadan, R. Srinivasa Kumar, A. Narender Reddy

“…YOLO performs object detection more effectively due to preprocessing functions, including negative image filtering and image rotation augmentation with enhanced classifier reliability. …”
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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…To address these issues, this study introduces YOLORM, an advanced key point detection method for rotameters, built upon the YOLOv8n model. …”
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Quantitative detection of macular microvascular abnormalities identified by optical coherence tomography angiography in different hematological diseases by Tianzi Jian, Fabao Xu, Guihua Li, Boxuan Song, Helei Wang, Xueying Yang, Weibin Zhai, Xiangchen Li, Zhiwen Li, Qi Feng, Shuqian Xu, John W. Semple, Li Zhang, Jun Peng

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基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Pre... by 程相鑫1，张烁1，杜松骏1，刘子阳1，周宏宇2，3，贾伟丽2，3，李子孝2，3，刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )

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Mobile malware detection method using improved GhostNetV2 with image enhancement technique by Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning

“…Subsequently, the Gabor method is employed to transform three-channel images into single-channel images, ensuring consistent detection accuracy for malicious code while reducing training and inference time. …”
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Double-layer stacking optimization for electricity theft detection considering data incompleteness and intra-class imbalance by Leijiao Ge, Jingjing Li, Tianshuo Du, Luyang Hou

“…Electricity theft detection is crucial for reducing non-technical losses in electric power enterprises and ensuring fairness in electric power transactions. …”
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An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n by Jianhui Xun, Xuefeng Wang, Xiufang Wang, Xiaoliang Fan, Peishuai Yang, Zhifei Zhang

“…Several improvements were made to YOLOv8n, including the integration of a Chain-of-Thought Prompted Adaptive Enhancer (CPA-Enhancer) module to boost detection performance in complex environments. Additionally, the Cross Stage Partial Bottleneck with 2 Convolution Block (C2f) was optimized to reduce computational load and parameter count without compromising performance, while the Inner Extended Intersection over Union (Inner-EIoU) loss function was employed to improve bounding box regression accuracy and speed. …”
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Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar

“…“Deep Learning” (DL) is an effective method to detect cancerous lesions. The study’s purpose is to comprehend the vital function performed by DL methods in supporting healthcare professionals in easier skin cancer detection using big data networks. …”
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Effect of ischemic injury characteristics on left ventricular systolic function in patients with acute myocardial infarction by V. E. Oleinikov, L. I. Salyamova, N. A. Donetskskaya, A. V. Vdovkin

“…To study laboratory and magnetic resonance imaging (MRI) characteristics of infarction area depending on left ventricular (LV) global systolic function in patients with acute myocardial infarction (AMI) after revascularization.Material and methods. …”
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Unsupervised clustering of biochemical markers reveals health profiles associated with function and survival in active aging by Raquel González-Martos, Javier Galeano, Carmen Ramirez-Castillejo, Narcis Gusi, Eva Gesteiro, German Vicente-Rodriguez, Ignacio Ara, Amelia Guadalupe-Grau

“…Abstract This study explores the relationships between biochemical phenotypes identified using machine learning, and key health outcomes, including body composition, physical function, and mortality risk. Data were collected from 536 physically active Spanish participants aged over 65 years (76.5% women) enrolled in the EXERNET cohort (2017–2018), with a 6-year mortality follow-up. …”
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SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images by Linxuan Li, Xiaoyu Liu, Xuan Chen, Fengjuan Yin, Bin Chen, Yufeng Wang, Fanbin Meng

“…The conventional non-maximum suppression algorithm is improved, so as to reduce the problem of missed detections under a densely occluded scene by setting the attenuation function to adjust the confidence of the treated box based on the overlap between it and the highest-scoring box. …”
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A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles by Zhijian Chen, Yijun Fang, Jianjun Yin, Shiyu Lv, Farhan Sheikh Muhammad, Lu Liu

“…Second, a Slim-neck lightweight neck network is introduced, replacing the original neck network's conventional convolution with GSConv, to further improve detection efficiency and accuracy. This adjustment preserves accuracy while reducing the complexity of the model. …”
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Knowledge Improved Hybrid DNN–KAN Framework for Intrusion Detection in Wireless Sensor Networks by M. Sriraghavendra, Muna Elsadig, Ines Hilali Jaghdam, S. Abdel-Khalek, B. Galeebathullah, Salem Alkhalaf

“…By incorporating domain knowledge into the loss function, the framework reduces false positives and improves generalization, even with limited training data. …”
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Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 2; peer review: 3 approved, 1 approved wit... by Jing-Jy Wang, Junaiti Sahar, Faizul Hasan, Utami Rachmawati, Winda Eriska, Etty Rekawati, Sri Susanty, Arief Andriyanto, Dwi Nurviyandari Kusuma Wati

“…Background Multiple medical conditions arising from reduced physical and physiological functioning, including cognitive decline, manifest in older persons. …”
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Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 1; peer review: 3 approved] by Jing-Jy Wang, Junaiti Sahar, Faizul Hasan, Utami Rachmawati, Winda Eriska, Etty Rekawati, Sri Susanty, Arief Andriyanto, Dwi Nurviyandari Kusuma Wati

“…Background Multiple medical conditions arising from reduced physical and physiological functioning, including cognitive decline, manifest in older persons. …”
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Dual‐Atom Catalyst Au@S‐rGO for Rapid and Highly Sensitive Electrochemical Detection of Fentanyl in Serum by Meng Li, ZhiJin Fan, Qiuxia Gao, Ying He, Anyun Xu, Zhaofeng Gu, Shixiong Wang, Huiping Bai, Yuhui Liao, Ruilin Zhang

“…Abstract Fentanyl is a highly lethal emerging drug that requires urgent rapid trace detection. In this work, high‐sensitivity detection of fentanyl is achieved by Au‐ and S‐doped reduced graphene oxide (Au@S‐rGO). …”
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Effects of Mulberry Leaf Extract on the Liver Function of Juvenile Spotted Sea Bass (Lateolabrax maculatus) by Sishun Zhou, Hao Lin, Lumin Kong, Jianrong Ma, Zhongying Long, Huihui Qin, Zhangfan Huang, Yi Lin, Longhui Liu, Zhongbao Li

“…This study provides a theoretical basis for the application of ELM in the cultivation of spotted sea bass by exploring the effect of ELM on the liver function of spotted sea bass.…”
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MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments by Afdhal Afdhal, Khairun Saddami, Mirshal Arief, Sugiarto Sugiarto, Zahrul Fuadi, Nasaruddin Nasaruddin

“…This model enhances YOLOv7-tiny P5 by improving the detection rate and reducing inference time. The enhancements include refining the feature extraction network by integrating a lightweight attention mechanism into the ELAN blocks and replacing the activation function in each convolution layer with a sigmoid-weighted linear unit. …”
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COSMIC-2 RFI Prediction Model Based on CNN-BiLSTM-Attention for Interference Detection and Location by Cheng-Long Song, Rui-Min Jin, Chao Han, Dan-Dan Wang, Ya-Ping Guo, Xiang Cui, Xiao-Ni Wang, Pei-Rui Bai, Wei-Min Zhen

“…As the application of the Global Navigation Satellite System (GNSS) continues to expand, its stability and safety issues are receiving more and more attention, especially the interference problem. Interference reduces the signal reception quality of ground terminals and may even lead to the paralysis of GNSS function in severe cases. …”
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