Intelligent Stress Detection Using ECG Signals: Power Spectrum Imaging with Continuous Wavelet Transform and CNN by Rodrigo Mateo-Reyes, Irving A. Cruz-Albarran, Luis A. Morales-Hernandez

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PowerLine-MTYOLO: A Multitask YOLO Model for Simultaneous Cable Segmentation and Broken Strand Detection by Badr-Eddine Benelmostafa, Hicham Medromi

“…To address these limitations, we propose PowerLine-MTYOLO, a lightweight, one-stage, multitask model designed for simultaneous power cable segmentation and broken strand detection from UAV imagery. …”
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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The Power Transmission Line (PTL) is a pivotal infrastructure in the efficient distribution of electrical power, connecting the source generating stations to end-point consumers. …”
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Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach by Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko

“…The Subject of this research is the development of an intelligent, integrated system for the early detection and causal analysis of fire hazards in large-scale solar power plants (SPPs). …”
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Real-Time Intrusion Detection in Power Grids Using Deep Learning: Ensuring DPU Data Security by Maoran Xiao, Qi Zhou, Zhen Zhang, Junjie Yin

“…This paper explores the use of deep learning for real-time intrusion detection in power grids with a primary focus on safeguarding the integrity and security of Data Processing Units (DPUs). …”
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LungDxNet: AI-Powered Low-Dose CT Analysis for Early Lung Cancer Detection by Jyoti Parashar, Rituraj Jain, Mahesh K. Singh, Ashwani Kumar, Premananda Sahu, Kamal Upreti

“…Deep learning and transfer learning has excellent power to transform lung cancer detection, and this research brings awareness of how far we can optimise and integrate into clinical workflow. …”
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YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

“…In modern power systems, insulators, as key components of transmission lines, are crucial for defect detection for the safe operation of power grids. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…In response to the current issues of low recognition accuracy and low image contrast in abnormal detection of power transmission lines. This paper develops a transmission line anomaly detection and real-time monitoring system combining edge computing and improved Efficient Det based on the characteristics of foreign object images. …”
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WCANet: An Efficient and Lightweight Weight Coordinated Adaptive Detection Network for UAV Inspection of Transmission Line Accessories by Jiawei Chen, Pengfei Shi, Mengyao Xu, Yuanxue Xin, Xinnan Fan, Jinbo Zhang

“…Accurate detection and timely management of high-voltage transmission accessories are crucial for ensuring the safe operation of power transmission. …”
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Efficient Real-Time Object Detection and Classification Using mmWave Radar and Jetson Xavier NX by Mohamed Lamane, Abdessamad Klilou, Mohamed Tabaa

“…The system developed captures radar data and processes it rapidly, converting it into usable formats for efficient object classification. Several YOLO detection deep learning models were evaluated, among which the YOLOv9-E model, which provided the best accuracy and speed performances for our application, i.e., a mAP_0.5 of 84% and an accuracy of 86.4%. …”
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Coherent Detection of Non-Orthogonal Spectrally Efficient Multicarrier Signals Using a Decision Feedback Algorithm by S. B. Makarov, S. V. Zavjalov, D. C. Nguyen, A. S. Ovsyannikova

“…At the same time, the efficiency of the detection algorithm with decision feedback turns out to be significantly lower than that when using the detection algorithm MLSE.Conclusion. …”
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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

“…Real-time 3D object detection is a cornerstone for the safe operation of drones and autonomous vehicles (AVs)—drones must avoid millimeter-scale power lines in cluttered airspace, while AVs require instantaneous recognition of pedestrians and vehicles in dynamic urban environments. …”
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A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Background Aiming at the problems of complex and diverse field symptoms of citrus Huanglong disease (HLB), low efficiency and insufficient recognition accuracy of traditional detection methods, this study proposes an efficient detection algorithm based on improved You Only Look Once (YOLO)v8. …”
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Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…As power grids become more complex, intelligent algorithms are critical for improving the efficiency of fault localization and isolation. …”
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Image processing‐based noise‐resilient insulator defect detection using YOLOv8x by Shagor Hasan, Md. Abdur Rahman, Md. Rashidul Islam, Animesh Sarkar Tusher

“…Abstract Accurate and efficient insulator defect detection is critical for power grid reliability, but it can be affected by the presence of noises in captured images and can be difficult to employ for real‐time operation due to the slow processing of the detection scheme. …”
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Anti-RNA virus crRNA targets efficient screening platform based on bioinformatics and CRISPR detection by Mengwei Niu, Zhuofan Dong, Lifang Yu, Xue Dong, Jing An, Yao Han, Yujie Yan, Wenyanbo Yi, Yansong Sun, Hao Li

“…Here, we developed a rapid and efficient screening platform for crRNA targets by combining the CaSilico-based bioinformatics method with CRISPR in vitro detection technology. …”
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Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

“…Erosion detection in materials exposed to plasma-generated species, such as those used for space propulsion systems, is critical for ensuring their reliability and longevity. …”
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Identification of Coal Mine Infrastructure Facilities with Inefficient Power Consumption by Belyaevsky R.V., Ahmetgareev A.R.

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Correlation of Calibration Parameters for HPGe Detector Efficiency Based on Monte Carlo Simulation by LI Yan1, SHAN Chenyu2, GU Weiguo1, WANG Dezhong1

“…After these simulations, the detection efficiencies for various conditions were compared to identify how crystal diameter impacts detection efficiency. …”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…This paper proposes an improved attention mechanism-based network for image detection and recognition of power equipment. The proposed method introduces a target feature prediction strategy tailored to power equipment: it incorporates a learning mechanism for depth variation to extract deep semantic information from images; enhances the global structure learning network module by stacking convolutional kernels and removing pooling layers in the front-end network, thereby acquiring prior information rich in detailed and correlated image features of power equipment. …”
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