SIU-ICUD: Screening and Early Detection of Prostate Cancer by Ola Bratt, Mohamed Jalloh, Anwar R. Padhani, Paul F. Pinsky, Hein Van Poppel, Weranja Ranasinghe, Kamran Zargar-Shoshtari, Kai Zhang, Anssi Auvinen

“…Today, improved diagnostic methods more selectively detect potentially lethal, high-grade prostate cancer. …”
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Refining features for underwater object detection at the frequency level by Wenling Wang, Zhibin Yu, Zhibin Yu, Mengxing Huang

“…The experimental results proved that our method performed better than existing detection methods on underwater object detection datasets.…”
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Utilizing an Enhanced YOLOv8 Model for Fishery Detection by Hanyu Jiang, Jiacheng Zhong, Fuyu Ma, Cheng Wang, Ruiwen Yi

“…The results demonstrate that our method provides an efficient and reliable automatic detection technology for precision underwater fishing.…”
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Research on the Object Detection Algorithm Based on Fisheye Image by GAO Qun, ZHU Jun, WANG Qianqian, CAO Jie, XU Chao

“…In order to improve the accuracy and speed of object detection, this paper presented a method which adopts a single bottom-view fisheye camera instead of multiple common cameras. …”
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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…YOLOv3 and a coal mine key position personnel unsafe behavior recognition method based on improved YOLOv7 and ByteTrack experienced missed detections and false positives based on enhanced images, while the proposed pedestrian detection algorithm effectively mitigated these issues.…”
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Detection of Welding Defects Tracked by YOLOv4 Algorithm by Yunxia Chen, Yan Wu

“…The improvements include optimizing the stacking method of residual blocks, modifying the activation functions for different convolutional layers, and eliminating the downsampling layer in the PANet (Pyramid Attention Network) to preserve edge information. …”
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A comprehensive review of ball detection techniques in sports by Cristiano Moreira, Lino Ferreira, Paulo Jorge Coelho

“…The article underscores the importance of optimizations for accurate and efficient ball detection, setting the foundation for next-generation sports analytics systems.…”
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Joint detection and re-identification for occluded person search by Ye Li, Shizhen Shuai, Yunhan Zhou, Binbin Deng, Dongxing Zhang

“…Therefore, based on the DINO detection model, a method is proposed for jointly optimizing pedestrian detection and re-identification (DINOPS): a part attention mechanism is introduced to integrate global and local pedestrian features, reduce missed detection and improve the re-identification ability. …”
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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…To address these issues, we propose LMWP-YOLO, a lightweight drone detection method that incorporates a multidimensional collaborative attention mechanism and multi-scale fusion. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…Based on this, the study innovatively combines Multiple Input Multiple Output (MIMO) with orthogonal frequency division multiplexing technology to construct a data-driven detection system. The system adopts a Multi-DNN method with a dual-DNN cascade structure and mixed activation function design to optimize the channel estimation and signal detection coordination process of the MIMO part. …”
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A Lightweight Direction-Aware Network for Vehicle Detection by Luxia Yang, Yilin Hou, Hongrui Zhang, Chuanghui Zhang

“…Finally, experimental results on the KITTI dataset show that the proposed method not only reduces resource consumption but also improves the accuracy of vehicle detection, which provides a novel technical path to realize real-time and accurate vehicle detection on mobile devices.…”
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OSAD: Open-Set Aircraft Detection in SAR Images by Xiayang Xiao, Zhuoxuan Li, Xiaolin Mi, Dandan Gu, Haipeng Wang

“…Current mainstream synthetic aperture radar (SAR) image object detection methods still lack robustness when dealing with unknown objects in open environments. …”
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Category semantic and global relation distillation for object detection by Yanpeng LIANG, Zhonggui MA, Zongjie WANG, Zhuo LI

“…However, most distillation techniques have been optimized for image classification, not object detection, which involves simultaneously detecting and classifying multiple target objects within natural images. …”
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EFCNet for small object detection in remote sensing images by Yutong Wang, Zhensong Li, Shiliang Zhu, Xiaotan Wei

“…Abstract Object detection, as a crucial component of remote sensing image processing, has become one of the primary methods with the maturation of deep learning technologies. …”
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Advancements and obstacles in acrylamide detection and mitigation in food products by Ancuţa-Veronica Lupăescu, Mircea Oroian

“…This review offers a comprehensive analysis of advanced detection methods and mitigation strategies, underscoring how detection sensitivity influences the evaluation and optimization of acrylamide reduction strategies. …”
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Artificial Intelligence Driving Innovation in Textile Defect Detection by Ahmet Ozek, Mine Seckin, Pinar Demircioglu, Ismail Bogrekci

“…This article critically examines the evolution of defect detection methods in the textile industry, transitioning from traditional manual inspections to AI-driven automated systems. …”
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Deep Learning-Based Algorithm for Road Defect Detection by Shaoxiang Li, Dexiang Zhang

“…With the increasing demand for road defect detection, existing deep learning methods have made significant progress in terms of accuracy and speed. …”
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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…The dual-branch attention mechanisms enhance feature representation in channel and spatial dimensions, while the GIoU loss optimizes bounding box regression—yielding notable improvements, particularly in small object detection and bounding box localization accuracy. …”
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An environment for complex behaviour detection in bio-potential experiments by Maide Bucolo, Federica Di Grazia, Luigi Fortuna, Mattia Frasca, Francesca Sapuppo

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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

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