Foreign Object Detection on Insulators Based on Improved YOLO v3 by Huankun ZHANG, Junyi LI, Bin ZHANG

“…However, the outdoor environment in which the insulators are located can easily lead to the hanging of foreign objects. This paper proposes a novel method for foreign object detection on insulators based on the improved YOLO v3: Dense-YOLO v3. …”
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Tower view object detection based on ECIOU structure embedded in YOLO by QIAN Jide, YAN Hao, LIANG Yan, ZENG Changchang, MOU Yihao

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Convolutional Edge Constraint-Based U-Net for Salient Object Detection by Le Han, Xuelong Li, Yongsheng Dong

“…The salient object detection is receiving more and more attention from researchers. …”
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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…Meanwhile, a novel similarity measure function based on Poincaré distance is proposed to evaluate the distance of various types of objects in the feature space. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…However, in environments where the target and the surrounding morphology are highly similar, such as distinguishing sesame seedlings from weeds, the problem essentially becomes one of optimizing edge detection algorithms for similar targets. To address this issue in agricultural object detection, we developed a custom dataset containing 1,300 images of sesame seedlings and weeds. …”
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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

“…Moreover, we also propose a detection feature pyramid loss function to more accurately restore object features. …”
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Sonar-based object detection for autonomous underwater vehicles in marine environments by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Yucheng Zhang

“…Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). …”
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CNN based 2D object detection techniques: a review by Badri Raj Lamichhane, Gun Srijuntongsiri, Teerayut Horanont

“…Significant advancements in object detection have transformed our understanding of everyday applications. …”
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The Prevalence of Systemic Venous Congestion Post Kidney Transplant Detected by Point of Care Ultrasound (POCUS) by Santiago Beltramino, Agustín Manchado Bruno, Damián Fernández, Javier Walther, Gustavo Werber

“…In the venous congestion group, 75% of patients developed delayed graft function (DGF) compared to 57% in the non-congestion group, although this difference was not statistically significant (p<0.3). …”
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A lightweight object detection approach based on edge computing for mining industry by Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir

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Functional near⁃infrared spectroscopy of brain network functional connectivity in patients with post⁃stroke cognitive impairment by WANG Xinyu*，LIU Yanling，LIU Jiaqi，GAO Yunhan，JIN Yan，ZHU Chongtian

“…Objective To explore the similarities and differences of resting brain functional connectivity（FC）between patients with post-stroke cognitive impairment（PSCI）and healthy adults by functional near-infrared spectroscopy（fNIRS）.Methods A total of 40 PSCI patients hospitalized in the Rehabilitation Medicine Department of Linyi People’s Hospital from July 2023 to August 2024 and 20 healthy adults recruited from society were prospectively and randomly selected.fNIRS was used to detect the hemodynamic data of resting frontal lobe，parietal lobe and occipital lobe for 5 min in 20PSCI patients with left hemisphere stroke（LHS group），20 PSCI patients with right hemisphere stroke（RHS group）and20 healthy controls（control group）. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…This work introduces SegTrackDetect, an open-source, window-based framework for small and tiny object detection. …”
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A New Computer-Based Cognitive Measure for Early Detection of Dementia Risk (Japan Cognitive Function Test): Validation Study by Hiroyuki Shimada, Takehiko Doi, Kota Tsutsumimoto, Keitaro Makino, Kenji Harada, Kouki Tomida, Masanori Morikawa, Hyuma Makizako

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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

“…Safety of navigation and development of underwater mineral deposits require the accurate detection of various underwater objects. The literature discusses the issues of tracking their motion and trajectory. …”
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SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization by Mingwei Zhou, Xian Mu, Yanyan Liang

“…These objectives are combined into a composite scalarized loss function with soft constraints, prioritizing a BTAR while maintaining flexibility. …”
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RTL-Net: real-time lightweight Urban traffic object detection algorithm by Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

“…Abstract Object detection algorithm in urban traffic using remote sensing images often suffers from high complexity, low real-time performance, and low accuracy. …”
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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…The model and method for ensuring the robustness of resource-constrained neural network systems for object detection in aerial video surveillance. Objective. …”
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ATBHC-YOLO: aggregate transformer and bidirectional hybrid convolution for small object detection by Dandan Liao, Jianxun Zhang, Ye Tao, Xie Jin

“…Finally, a more appropriate loss function, WIoU, is used to penalise the quality variance of small object samples and further enhance the model’s detection accuracy. …”
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Enhanced DWT for Denoising Heartbeat Signal in Non-Invasive Detection by Peibin Zhu, Lei Feng, Kaimin Yu, Yuanfang Zhang, Wen Chen, Jianzhong Hao

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Object prediction and detection of ground-based weapon with an improved YOLO11 approach by Hanyul Ryu, Mingyu Park, Dae-Yeol Kim

“…For object detection, the YOLO11 model was employed in conjunction with the BCEF loss function to enhance detection performance. …”
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