Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. …”
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DM-YOLO: improved YOLOv9 model for tomato leaf disease detection by Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo

“…Therefore, an improved tomato leaf disease detection method, DM-YOLO, based on the YOLOv9 algorithm, is proposed in this paper. …”
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Radar Obstacle Detection Based on Pre-Built Maps in Rail Transit Scenarios by LI Yuanzhengyu, PAN Wenbo, HUANG Wenyu, CHEN Zhiwei, YUAN Chao, YANG Zhenyu

“…This paper proposes a radar obstacle detection system based on pre-built maps to overcome this issue. …”
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Detection of out-of-seam and out-of-scope mining using double filtering method by Chong Wang, Pengzhi Cui, Guodong Song, Zhiming Xu, Jiajun Qin

“…This data is then analyzed using Simultaneous Localization and Mapping (SLAM) algorithms, and cross-validated against officially approved mine maps. …”
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T-UNet: triplet UNet for change detection in high-resolution remote sensing images by Huan Zhong, Chen Wu

“…Current change detection methods mainly use Siamese or early fusion structures. …”
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Unsupervised Anomaly Detection With Variational Autoencoders Applied to Full‐Disk Solar Images by Marius Giger, André Csillaghy

“…We show how a model based on variational autoencoders can be used to detect out‐of‐distribution samples and to localize regions of interest for solar activity. …”
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A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…Additionally, we design an attention mechanism that links distant pixels to improve small object feature extraction. To address missed detections and inaccurate localization, we replace the detection head with a dynamic head, allowing the model to route objects to the appropriate head for final output. …”
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Advanced fault detection in photovoltaic panels using enhanced U-Net architectures by Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit

“…Fault detection in photovoltaic (PV) panels using thermal images remains a significant challenge due to the complexity of thermal patterns, environmental noise, and the subtle nature of anomalies. …”
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Femtomolar hydrogen sulfide detection via hybrid small-molecule nano-arrays by Xing Xing, Luyan Wu, Yuchen Zhang, Jiahao Pan, Yusuke Ishigaki, Huaqing Xie, Takanori Suzuki, Deju Ye, Jianhua Zhang, Weihua Zhang, Zhenda Lu

“…On-chip immunoassays, particularly nanoarray-based interfacial detection, offer promising avenues for ultra-sensitive analysis due to their confined reaction volumes and precise signal localization. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

“…In addition, the SimAM attention mechanism is introduced, enabling the model to intelligently focus on key features of the tomatoes, thereby improving its ability to recognize tomatoes at different maturity stages and enhancing detection accuracy. Furthermore, the generalized intersection over union loss function is employed to introduce a target box overlap metric, optimizing the object localization process and improving the precision of fruit positioning. …”
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A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks by Abdallah Ghourabi, Adel Alkhalil

“…Unlike traditional FL systems that rely on computationally intensive neural networks, our approach leverages XGBoost—a lightweight yet powerful algorithm—to train detection models locally on devices. The XGBoost models are further optimized using a Bayesian method and integrated with an aggregation algorithm to construct an adaptive global model. …”
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Comprehensive fragmentation of cell-free repetitive DNA for enhanced cancer detection in plasma by Mingguang Zhang, Shuohui Dong, Wei Rao, Shiwen Mei, Gang Hu, Ling Liu, Zhen Wang, Jianqiang Tang

“…The innovative fragmentomics approach provides a sensitive, robust, and cost-effective method for early tumor detection and localization.…”
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An Accurate Book Spine Detection Network Based on Improved Oriented R-CNN by Haibo Ma, Chaobo Wang, Ang Li, Aide Xu, Dong Han

“…Book localization is crucial for the development of intelligent book inventory systems, where the high-precision detection of book spines is a critical requirement. …”
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Research on object detection and recognition in remote sensing images based on YOLOv11 by Lu-hao He, Yong-zhang Zhou, Lei Liu, Wei Cao, Jian-hua Ma

“…Abstract This study applies the YOLOv11 model to train and detect ground object targets in high-resolution remote sensing images, aiming to evaluate its potential in enhancing detection accuracy and efficiency. …”
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Reliable hexokinase 3 protein detection in human cell lines and primary tissue by Yasmeen H. Mady, Carmen G. Kalbermatter, Maarij Khan, Anna M. Schläfli, Rina Mehmeti, Inti Zlobec, Lucine Christe, Mario P. Tschan

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First detection of Echinococcus multilocularis in golden jackals (Canis aureus) in Bosnia and Herzegovina by Naida Kapo, Jasmin Omeragić, Azra Bačić, Šejla Goletić, Adis Softić, Vedad Škapur, Toni Eterović, Jasna Salkić, Teufik Goletić

“…Between December 2024 and March 2025, a total of 44 golden jackals were examined across 15 localities in Bosnia and Herzegovina, with E. multilocularis detected in 6.8 % of the samples from three sites in Western and Central Bosnia and Herzegovina. …”
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Development of an Automated Temperature Measuring Device: A Potential Tool for Ovulation Detection by Olugbenga Kayode Ogidan, Julius Olasunmibo Ogunniyi, Abisola Tedimola

“…This research is therefore focused on development of on-the-skin temperature measuring devices using locally available tools and human resources; provision of a non-intrusive temperature measuring device that is convenient for use especially when temperature has to be measured for a long period of time and validation of the developed device with other standard measuring tools as a potential device for ovulation detection. …”
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A fast and efficient green apple object detection model based on Foveabox by Weikuan Jia, Zhifen Wang, Zhonghua Zhang, Xinbo Yang, Sujuan Hou, Yuanjie Zheng

“…In order to achieve fast recognition and localization of green apples and meet the real-time working requirements of the vision system of harvesting robots, a fast optimized Foveabox detection model (Fast-FDM) is proposed. …”
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Automatic detection of foreign object intrusion along railway tracks based on MACENet. by Xichun Chen, Yu Tian, Ming Li, Bin Lv, Shuo Zhang, Zixian Qu, Jianqing Wu, Shiya Cheng

“…Meanwhile, to improve localization robustness, the generalized intersection over union (GIoU) loss function is implemented, offering more reliable detection across various object sizes and shapes. …”
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PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection by Weijia Chen, Jiaming Liu, Tong Liu, Yaoming Zhuang

“…Next, we introduce a Context Anchor Attention mechanism that boosts the model’s focus on the contexts of small objects, thereby improving detection accuracy. In addition, we add a small object detection layer to enhance the model’s localization capability for small objects. …”
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