Detection Method for Safety Helmet Wearing on Construction Sites Based on UAV Images and YOLOv8 by Xin Jiao, Cheng Li, Xin Zhang, Jian Fan, Zhenwei Cai, Zhenglong Zhou, Ying Wang

“…With the increasing demand for safety management on construction sites, traditional manual inspection methods for detecting helmet usage face challenges such as low efficiency, limited coverage, and strong subjectivity, making them inadequate for modern construction site safety requirements. …”
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Analysis of the Driving Stability of a Multi-Model Driven Electric-Tracked Intelligent Detection Device by Yitian Wang, Huazhen Liu, Linsen Song, Longkai Liang, Yiwen Zhang, Zhenglei Yu, Chunbai Liu, Yanzhong Hao, Meichao Xu, Xinming Zhang, Siying Li

“…In conclusion, the developed models and prototypes help us understand the electric-tracked intelligent detection device’s dynamic characteristics and instability thresholds, enhancing its stability and operational efficiency and providing a theoretical foundation for related engineering machinery development.…”
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Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system by Rebecca Wienbruch, Nicole Rupp, Ruven Dreischke, Verena Mayer, Isabell Fenske, Rebecca Bauer, Thole Zuchner

“…Abstract Laboratory automation has transformed bioanalytical research, yet smaller research laboratories face challenges in adopting such technologies due to limited resources, time, and technical expertise, while already facing complex bioanalytical methods. To address these barriers, we developed a robotic-arm-based camera detection system featuring two software applications designed to simplify laboratory automation. …”
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…Additionally, we introduce the GFPN module to strengthen multi-scale information interaction through cross-scale feature fusion, thereby improving detection accuracy for small-target diseases. The incorporation of the DAT mechanism is designed to achieve higher efficiency and accuracy in handling complex visual tasks. …”
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A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection by Siyuan Chen, Zhen Wang, Hao Wang, Shuai Wang, Yang Li, Yang Li, Bing Wang

“…The use of deep learning models in electrocardiogram (ECG) analysis has aided more accurate and efficient PVC identification. These models automatically extract and analyze complex signal features, providing valuable clinical decision-making support. …”
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Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model by Wei Shi, Jun Zhang, YunFan Fu, DanWei Chen, JianPing Zhu, ChunFeng Lv

“…Abstract Crayfish sub-part processing requires high precision and efficiency in complex environments; however, current methods often fail to effectively handle small anatomical structures and are unsuitable for edge-device deployment. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

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FFT-RDNet: A Time–Frequency-Domain-Based Intrusion Detection Model for IoT Security by Bingjie Xiang, Renguang Zheng, Kunsan Zhang, Chaopeng Li, Jiachun Zheng

“…Resource-constrained Internet of Things (IoT) devices demand efficient and robust intrusion detection systems (IDSs) to counter evolving cyber threats. …”
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Mathematical model of evaluation of rehabilitation efficiency increase with the help of personalized rehabilitation selection technology with the help of adapted virtual environmen... by A. V. Zakharov, S. S. Chaplygin, A. V. Kolsanov

“…The obtained results can be used as a way to improve the stability and accuracy of neurocomputer interface classifiers based on the detection of complex bilateral movements.…”
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An Integrated CNN-BiLSTM-Transformer Framework for Improved Anomaly Detection Using Surveillance Videos by Sarfaraz Natha, Mohammad Siraj, Fareed Ahmed, Majid Altamimi, Muslim Syed

“…Close Circuits Television (CCTV) Cameras are widely used to surveillance normal and anomalous incidents. Real-world anomaly detection in complex environment situations is a significant challenge due to its diverse nature manually reviewing this vast data is difficult, time-consuming, and prone to errors. …”
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Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement by Oumayma Jouini, Mohamed Ould-Elhassen Aoueileyine, Kaouthar Sethom, Anis Yazidi

“…Improving agricultural productivity is essential due to rapid population growth, making early detection of crop diseases crucial. Although deep learning shows promise in smart agriculture, practical applications for identifying wheat diseases in complex backgrounds are limited. …”
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Precise amplification-free detection of highly structured RNA with an enhanced SCas12a assay by Junqi Zhang, Wenhao Yin, Qingyuan Jiang, Wuxiang Mao, Wenwen Deng, Shuqi Jin, Xinping Wang, Ruyi He, Jie Qiao, Yi Liu

“…Abstract The CRISPR/Cas12a system has revolutionized molecular diagnostics, yet the direct detection of RNA, particularly those with complex structures, remains a significant challenge. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…By leveraging the integral ability of DL methods to learn complex representations, this technique enhances the accuracy and efficiency of detecting diverse and growing cyber-attacks. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Additionally, we introduce a custom backbone, edge-prior net (EP-Net), to capture features across multiple spatial scales, enhancing the recognition of subtle and complex defect patterns. During inference, the multi-branch structure is consolidated into a single-branch equivalent to accelerate detection without compromising accuracy. …”
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…Abstract Road crack detection presents critical challenges, including diverse defect patterns and complex anomaly characteristics. …”
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LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…However, traditional underwater object detection methods struggle to achieve accurate detection in complex underwater environments with limited computational resources. …”
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Two-Stage Target Detection for Compact HFSWR With Space-to-Depth YOLOv8 and Multiframe ViT by Tong Wu, Ming Li, Jiong Niu, Ling Zhang, Wandong Zhang, Qing Ming Jonathan Wu

“…These results confirm that MFTDF delivers superior detection accuracy and efficiency, offering a robust solution for maritime target detection in complex scenarios.…”
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WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification by Taminul Islam, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, Karla Gage

“…Our research evaluates several state-of-the-art object detection architectures, including DINO Transformer (with ResNet-101 and Swin backbones), Detection Transformer (DETR), EfficientNet B4, YOLO v8, and RetinaNet. …”
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Dual Improvements DCNv4 and AsDDet Mechanisms for Small Object Detection in Aerial Imagery by Fan Jiang, Hua-Ching Chen, Song-Lin Wei, Hsuan-Ming Feng

“…This study introduces a dual enhancement mechanism integrating Deformable Convolution v4 (DCNv4) and an Asymmetric Decoupled Detection Head (AsDDet) to significantly improve the detection performance of small objects in high-altitude unmanned aerial vehicle (UAV) imagery using YOLOv11 model architecture. …”
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Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…Balancing between model detection performance and efficiency poses many challenges. …”
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