A Real-Time DAO-YOLO Model for Electric Power Operation Violation Recognition by Xiaoliang Qian, Yang Li, Xinyu Ding, Longxiang Luo, Jinchao Guo, Wei Wang, Peixu Xing

“…Electric power operation violation recognition (EPOVR) is essential for personnel safety, achieved by detecting key objects in electric power operation scenarios. …”
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Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling by Rajib Saha, Mosammat Tahnin Tariq, Mohammed Hadi, Yan Xiao

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An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform by XIONG Minjun, LI Chen, ZHANG Huiyuan, PENG Liantie, SU Zhen

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Method on Efficient Operation of Multiple Models for Vision-Based In-Flight Risky Behavior Recognition in UAM Safety and Security by Byeonghun Kim, Byeongjoon Noh, Kyowon Song

“…In addition, conventional vision-based deep learning models require substantial computational power, potentially reducing the operational sustainability of UAMs with limited electrical resources. …”
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Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery by Danyal Z. Khan, Alexandra Valetopoulou, Adrito Das, John G. Hanrahan, Simon C. Williams, Sophia Bano, Anouk Borg, Neil L. Dorward, Santiago Barbarisi, Lucy Culshaw, Karen Kerr, Imanol Luengo, Danail Stoyanov, Hani J. Marcus

“…This study aims to apply this model, and explore the impact of AI-assistance on clinician anatomy recognition. …”
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A Method for Hand Dorsal Vein Recognition Based on Frangi and Morphological Operation by Xiaoling Xie, Xiaorui Xu, Junxi Zheng, Xiaocui Sun

“…Aiming at the problem of image recognition of the hand dorsal vein, a method for hand dorsal vein recognition based on Frangi and morphological operation (Frangi-M) is proposed. …”
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Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

“…To address these challenges, we propose an active hard sample learning method specifically for the violation action recognition of operators in power grid operation. We design a hard instance sampling module with multi-strategy fusion based on active learning to improve training efficiency. …”
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Research on Camouflage Recognition in Simulated Operational Environment Based on Hyperspectral Imaging Technology by Donge Zhao, Shuyan Liu, Xuefeng Yang, Yayun Ma, Bin Zhang, Wenbo Chu

“…The results show that among the four models, SVM model has the highest accuracy of classification and the recognition rate of jungle camouflage clothing is the highest. …”
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Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition by Branko R MARKOVIĆ, Jovan GALIĆ, Miomir MIJIĆ

“…A speaker dependent scenario is used. For the recognition process, Dynamic Time Warping and Hidden Markov Models methods are applied. …”
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Enhancing Operational Efficacy of Smart Parking Facilities through Intelligent License Plate Recognition by Nikta Shamsmohammadi, Sina Shaffiee Haghshenas, Giuseppe Guido, Vittorio Astarita

“…Hence, the primary objective of this research is to introduce a proposed methodology for the recognition of car license plates, with the aim of enhancing the operational efficacy of smart parking facilities. …”
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Complex-Scene SAR Aircraft Recognition Combining Attention Mechanism and Inner Convolution Operator by Wansi Liu, Huan Wang, Jiapeng Duan, Lixiang Cao, Teng Feng, Xiaomin Tian

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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

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Activity recognition in motor-manual cross-cutting operations by machine learning on multimodal data by Stelian Alexandru Borz, Tomi Kaakkurivaara, Gabriel Osei Forkuo, Nopparat Kaakkurivaara

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Radar Jamming Recognition: Models, Methods, and Prospects by Zan Wang, Zhengwei Guo, Gaofeng Shu, Ning Li

“…Specifically, first building a system framework for jamming models, including deception jamming, suppression jamming, and smart jamming, thoroughly explaining the operational mechanisms. …”
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Adaptive Unscented Kalman Filter Approach for Accurate Sideslip Angle Estimation via Operating Condition Recognition by Liang Zhao, Jiawei Wang, Yingjia Hu, Liang Li

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Image Recognition and Model Cluster Matching of Relaying Plate by LI Tie-cheng, REN Jiang-bo, LIU Qing-quan, ZHAO Yu-hao, WANG Zhi-hua, HU Yan-jiao

“…Aiming at the problems of manual checking relaying plate in secondary equipment of power system， such as heavy workload，error-prone and inefficiency，an automatic recognition and checking method of relaying plate based on image recognition technology and model clustering matching algorithm is proposed. …”
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Operating Condition Recognition Based Fuzzy Power-Following Control Strategy for Hydrogen Fuel Cell Vehicles (HFCVs) by Yingxiao Yu, Kun Wang, Yukun Fan, Xiangyu Tang, Minghao Huang, Junjie Bao

“…To reduce hydrogen consumption by hydrogen fuel cell vehicles (HFCVs), an adaptive power-following control strategy based on gated recurrent unit (GRU) neural network operating condition recognition was proposed. The future vehicle speed was predicted based on a GRU neural network and a driving cycle condition recognition model was established based on k-means cluster analysis. …”
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A BERT-MRC-based method for key entity recognition in power grid field operation texts by FEI Zhengming, YUAN Kewei, HUANG Hongyang, ZHANG Yixiang, YIN Fan, ZHOU Hui, LUO Huafeng

“…However， existing power entity recognition methods rely heavily on large volumes of manually annotated text data to train models， making them difficult to apply to field operation texts， which are generated rapidly， exist in large quantities， and often involve nested entities and other complex relationships. …”
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Classification and recognition method of dangerous behaviors of electric power operators based on improved OpenPose algorithm by Ningtao Liu, Jie Du, Shiliang Chang, Ke Zheng, Ji Xiao, Jiaming Zhang, Shishun Tan

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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…The proposed MB-1dCNN establishes state-of-the-art performance for trajectory-based fishing operation recognition, offering valuable insights for spatial computing applications in maritime surveillance.…”
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