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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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“…For clarity, we considered datasets with varying degrees of imbalance (the number of instances of the minority class was equal to 15, 30, 45, and 60% of the number of samples of the majority class). The following methods are used: analytical and inductive methods for determining the necessary set of experiments and building hypotheses regarding their results, experimental and graphic methods for obtaining a visual comparative characteristic of the selected algorithms. …”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

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Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

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

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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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An Efficient Aerial Image Detection with Variable Receptive Fields by Wenbin Liu, Liangren Shi, Guocheng An

“…It maintains real-time performance (62.1 FPS) and generalizes effectively, outperforming state-of-the-art methods in accuracy-efficiency trade-offs for aerial object detection.…”
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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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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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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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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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Towards Improved Nepovirus Detection and Identification in Xiphinema Nematodes by Ellen A. Everaert, Nicole Viaene, Paul Quataert, Annelies Haegeman, Kris De Jonghe

“…The aim of this study was to develop an optimized method to detect virus-carrying Xiphinema specimens. …”
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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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Android malware detection based on improved random forest by Hong-yu YANG, Jin XU

“…Aiming at the defect of vote principle in random forest algorithm which is incapable of distinguishing the differences between strong classifier and weak classifier,a weighted voting improved method was proposed,and an improved random forest classification (IRFCM) was proposed to detect Android malware on the basis of this method.The IRFCM chose Permission information and Intent information as attribute features from AndroidManifest.xml files and optimized them,then applied the model to classify the final feature vectors.The experimental results in Weka environment show that IRFCM has better classification accuracy and classification efficiency.…”
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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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Tennis ball detection based on YOLOv5 with tensorrt by Xiulei Zhang, Bin Li

“…To improve the accuracy and speed of the penalty, the study proposes a hawk eye detection method for tennis games based on YOLOv5 and TensorRT. …”
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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

“…The results indicate that the improved Graph-CenterNet method significantly enhances the accuracy and robustness of tomato detection in complex environments.…”
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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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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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