Detect+Track: robust and flexible software tools for improved tracking and behavioural analysis of fish by Abhishek Dutta, Natalia Pérez-Campanero, Graham K. Taylor, Andrew Zisserman, Cait Newport

“…We introduce a novel video processing method called Detect+Track that combines a deep learning-based object detector with a template-based object agnostic tracker to significantly enhance the accuracy and robustness of animal tracking. …”
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Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images by Bader Alawfi

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YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation by Shuyun Peng, Xiaopei Zhang, Luoyu Zhou, Peng Wang

“…The proposed attention module enables accurate localization in densely populated student settings. Secondly, a novel feature aggregation module is designed for replacing the basic C2f module in the YOLOv10s neck network and enhancing the capability to detect occluded targets effectively. …”
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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

“…To tackle the high computational demands and accuracy limitations in UAV-based infrared object detection, this study proposes YOLO-SMUG, a lightweight detection algorithm optimized for small object identification. …”
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Incidence and imaging characteristics of skeletal metastases detected by bone scintigraphy in lung cancer patients by Jauković Ljiljana, Ajdinović Boris, Janković Zoran, Dugonjić Sanja

“…Background/Aim. Detection of metastatic bone disease by skeletal scintigraphy is a classical application of nuclear medicine in cancer patients. …”
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The Validity of Rapid Malaria Test and Microscopy in Detecting Malaria in a Preelimination Region of Egypt by Maysa Mohamed Kamel, Samar Sayed Attia, Gomaa Desoky Emam, Naglaa Abd El Khalek Al Sherbiny

“…RDTs are simple and effective for rapid diagnosis of malaria to help in implication of control measures in different localities.…”
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Improving UAV-Based Detection of Low-Emission Smoke with an Advanced Dataset Generation Pipeline by Marek Szczepański

“…Unlike prior UAV-based smoke detection studies, which primarily focus on large-scale wildfire smoke, this work targets low-intensity emissions from residential heating, ensuring the precise localization of individual pollution sources. …”
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AquaYOLO: Advanced YOLO-based fish detection for optimized aquaculture pond monitoring by M. Vijayalakshmi, A. Sasithradevi

“…The head enhances feature representation through upsampling, concatenation, and multi-scale fusion. The detection head uses a precise 40 × 40 scale for box regression and dropping the final C2f layer to ensure accurate localization. …”
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Adaptive Robust Low-Beam Feature Point Detection Algorithm Based on Convex Hull by Qiqi Shen, Jie Wu

“…In response to these challenges, this paper proposes a novel algorithm for low-beam feature point detection that incorporates convex hull detection capabilities, enabling the automatic localization of the detection area. …”
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A comprehensive deep learning approach to improve enchondroma detection on X-ray images by Ayhan Aydin, Caner Ozcan, Safak Aydın Simsek, Ferhat Say

“…Although enchondromas are predominantly asymptomatic, they may exhibit various clinical manifestations contingent on the size of the lesion, its localization, and the characteristics observed on radiological imaging. …”
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Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…In addition, the ASF feature fusion and RMT modules were combined to construct the ASF-CR neck structure, which enhances the model’s capability to detect small, localized defects. To expedite inference speed, the DBB-Head reparameterization module was incorporated. …”
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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…Gas pipeline networks are vital urban infrastructure, susceptible to leaks caused by natural disasters and adverse weather, posing significant safety risks. Detecting and localizing these leaks is crucial for mitigating hazards. …”
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Intraoperative Lung Ultrasound in the Detection of Pulmonary Nodules: A Valuable Tool in Thoracic Surgery by Diana Yasin, Jalal Al Khateeb, Dina Sbeih, Firas Abu Akar

“…However, some disadvantages were detected, such as operator dependency and a lack of specificity and knowledge of specific signs, as well as assisted localization via percutaneous puncture and its correct interpretation. …”
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The Scalable Detection and Resolution of Data Clumps Using a Modular Pipeline with ChatGPT by Nils Baumgartner, Padma Iyenghar, Timo Schoemaker, Elke Pulvermüller

“…This paper explores a modular pipeline architecture that integrates ChatGPT, a Large Language Model (LLM), to automate the detection and refactoring of data clumps—a prevalent type of code smell that complicates software maintainability. …”
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Anomaly detection method for cyber physical power system based on bilateral data fusion by Tianlei Zang, Shijun Wang, Chuangzhi Li, Yunfei Liu, Yujian Xiao, Zian Wang, Xueying Yu

“…The localized faults are easier to propagate across domains and escalate into cascading failures in cyber physical power system (CPPS) with the deep integration of cyber and physical components. …”
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Multiscale Edge Enhancement and Progressive Change-Aware Network for Remote Sensing Change Detection by Yan Xing, Jiali Hu, Yunan Jia, Rui Huang

“…Change detection (CD) in remote sensing (RS) images serves as a vital method for identifying changes on the Earth’s surface. …”
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Fine-grained detection and segmentation of civilian aircraft in satellite imagery using YOLOv8 by Ramesh Kumar Panneerselvam, Sarada Bandi, Sree Datta Siva Charan Doddapaneni

“… Detection and segmentation of civilian aircraft from satellite imagery has significant importance in applications for air traffic management, surveillance, and defense. …”
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HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images by Pengfei Zhang, Jian Liu, Jianqiang Zhang, Yiping Liu, Jiahao Shi

“…The growing use of remote-sensing technologies has placed greater demands on object-detection algorithms, which still face challenges. …”
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Detection and Analysis of S-Acylated Proteins via Acyl Resin–Assisted Capture (Acyl-RAC) by Dina Abdulrahman, Michael Veit

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DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

“…As a computer vision task, object detection algorithms can be applied to various real-world scenarios. …”
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