Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

“…Future research directions include developing adaptive threshold learning mechanisms for varying industrial conditions and integration with surface defect detection capabilities to enhance comprehensive quality control in intelligent manufacturing systems.…”
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Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

“…Corrections have been made subsequently to the retrieved cloud fraction in areas where solar glint occurs using a correction curve fitted with sunglint angle as weight. The algorithm includes two steps: the cloud detection is conducted firstly for each AGRI field of view to identify whether it is clear sky, partly cloudy or overcast within the observation field. …”
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Use of weight measurement algorithm on the basis of moving average filter in the recorder of overhead crane operation parameters by A. N. Nazarov, S. D. Ivanov

“…The accepted direction to improve the quality of information about the mass of the cargo is to improve the algorithm of weight measurement. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

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Vehicle detection in drone aerial views based on lightweight OSD-YOLOv10 by Yang Zhang, Xiaobing Chen, Su Sun, Hongfeng You, Yuanyuan Wang, Jianchu Lin, Jiacheng Wang

“…Abstract To address the challenges of low performance in vehicle image detection from UAV aerial imagery, difficulties in small target feature extraction, and the large parameter size of existing models, we propose the OSD-YOLOv10 algorithm, an enhanced version based on YOLOv10n. …”
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Target Detection and Image Enhancement for Underwater Environment: Research on Improving YOLOv7 by Yang Luo, Wen Feng

“…Aiming at the common low accuracy and efficiency problems in underwater target detection, this paper designs an innovative algorithm based on the YOLOv7 framework. …”
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Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…Key findings include: (1) Threat Detection: GESAC achieves an F1-score of 0.915–0.931 in identifying physical-layer attacks such as wavelength eavesdropping and cross-domain privilege escalation, with a false positive rate as low as 0.7%. (2) Resource Optimization: Compared to greedy strategies, GESAC improves wavelength utilization variance by up to 58.9% and reduces end-to-end latency standard deviation by up to 57.7% under high-load conditions. (3) Policy Robustness: In scenarios involving topological mutations, the model increases Pareto frontier coverage by over 100% and reduces policy entropy decay rate by more than 65%, indicating strong robustness. (4) Scalability: At a scale of 100,000 network nodes, GESAC achieves a single-step decision latency of just 25.6µs and significantly reduces communication overhead, demonstrating excellent scalability. …”
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Multiple-Signal-Classification for Superior Target Detection in Subarray-MIMO Radar Systems by Selviyani Selviyani, Syahfrizal Tahcfulloh

“…SMIMO radar with the MUSIC algorithm and Tx-Rx subarrays demonstrates superior detection performance at low SNR, achieving a Pd of 0.9 at SNR -24.4 dB and outperforming PhA, MISO, and MIMO radars. …”
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YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images by Song Ling, Xianggong Hong, Yongchao Liu

“…A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale target detection issues in infrared road scenes. …”
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Application of nine point logic control and predictive pid control algorithms in smart grid decision-making by Zhixin Ou

“…The disadvantage is that the difficulty of model estimation is high, significant fluctuations in energy storage and transmission, algorithm update iteration delay, and low accuracy of data fusion technology. …”
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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

“…The physics-data fusion framework ensures robust generalization under load mutations and high-frequency interference, realizing high-precision low-latency diagnosis with minimal resource requirements for tunnel engineering equipment.…”
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High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms by Gabriela Nunes Lopes, Pedro I. N. Barbalho, Jose Carlos Melo Vieira, Denis V. Coury

“…Despite of the numerous papers addressing HIFs, there is still a lack of consensus on the most effective metrics and techniques for their detection and location. This article proposes a comprehensive analysis aiming to identify the adequate metrics for artificial intelligent algorithms to locate HIFs in a DS in the presence of DG. …”
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3D Object Detection Based on Graph Network Fusion Sampling Strategy by LI Wenju, CHEN Zhilin, QU Jiantao, CUI Liu, CHU Wanghui, GAO Hui

“…In the 3D target detection technology based on point cloud, there are problems like high cost of point cloud calculation and large gap between target scales, which lead to low target detection efficiency. …”
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Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion by Yutong Chen, Yufen Liu, Zhixiong Guo, Qiang Gao

“…To overcome the defects in detection, this paper proposes an airport clearance detection algorithm based on Vision Transformer and multi-scale feature fusion to address the problems of poor real-time performance, low accuracy, and large parameter quantity in existing airport clearance detection systems. …”
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Feature Generation-Based Fingerprint Liveness Detection: A Novel Multimodal Approach by B. R. Rajakumar, S. Amala Shanthi

“…Fingerprint liveness detection is an emerging security solution that distinguishes between spoofed fingerprints and genuine fingerprints. …”
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A New Mask R-CNN-Based Method for Improved Landslide Detection by Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha

“…The proposed algorithm can be potentially useful for land-use planners and policymakers of hilly areas where intermittent slope deformations necessitate landslide detection as a prerequisite before planning.…”
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A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors by Md. Syedul Amin, Mamun Bin Ibne Reaz, Salwa Sheikh Nasir, Mohammad Arif Sobhan Bhuiyan, Mohd. Alauddin Mohd. Ali

“…Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. …”
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Extracting Target Detection Knowledge Based on Spatiotemporal Information in Wireless Sensor Networks by Tian Wang, Zhen Peng, Cheng Wang, Yiqiao Cai, Yonghong Chen, Hui Tian, Junbin Liang, Bineng Zhong

“…Moreover, we propose a probabilistic detection algorithm in which all sensors' local measurement values are fully used. …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. Second, a method based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was introduced to obtain the sub-optimal solution of node cost, thereby reducing the computational complexity of the optimization process. …”
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Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering by Sohaib Tahir Chauhdary, Taha Saeed Khan, Saad Arif, Ayaz Ahmad, Munam Ali Shah, Jamel Baili

“…This research article proposes the unscented Kalman filtering (UKF) and deep neural network algorithm (DNN) as an innovative approach to detect and prevent islanding events in microgrids. …”
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