Research on Health Monitoring of Flying-Swallow-Typed Tied Arch Bridge Based on PSO-GRNN Algorithm by Tianpeng Zhang, Long Liu, Pengfei Ji

“…As revealed by the results, the average prediction accuracy of the PSO-GRNN model constructed in this article is 96.706%, 98.531%, and 99.634%, respectively, which are 1.980%, 1.706%, and 0.40% higher than the back propagation (BP) neural network model and 2.262%, 1.632%, and 0.387% higher than the GRNN model. …”
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Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features by Chunmei Duan, Taochuan Zhang, Lei Han, Huilin Tan

“…Through experimental data analysis, the higher testing detection accuracy of this method is 98.8%, with an average testing accuracy of 97.1%.…”
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Computer Vision-assisted Wireless Channel Simulation for Millimeter Wave Human Motion Recognition by Zhenyu REN, Chenqing JI, Chao YU, Wanli CHEN, Rui WANG

“…Experimental results indicate that the deep neural network trained with the simulated dataset achieves an average recognition accuracy of 73.0% in real-world wireless motion recognition. …”
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Capacity and Coverage Dimensioning for 5G Standalone Mixed-Cell Architecture: An Impact of Using Existing 4G Infrastructure by Naba Raj Khatiwoda, Babu Ram Dawadi, Sashidhar Ram Joshi

“…We used metaheuristic approaches such as Grey Wolf Optimization (GWO), Sparrow Search Algorithm (SSA), Whale Optimization Algorithm (WOA), Marine Predator Algorithm (MPA), Particle Swarm Optimization (PSO), and Ant Lion Optimization (ALO) for optimizing the locations of remote radio units. The comparative analysis of metaheuristic algorithms shows that the proposed network is efficient in providing an average data rate of 50 Mbps, can meet the coverage requirements of at least 98%, and meets quality-of-service requirements. …”
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Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation by Jorge Luis Compeán-Aguirre, Pablito Marcelo López-Serrano

“…By examining the literature from 2010 to 2024, the study identifies key trends, knowledge gaps, and emerging research opportunities, as well as practical applications in forest management and conservation. The analysis reveals a significant rise in scientific output on TLS, with an average annual growth rate of 8.16%. …”
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A robust and efficient authentication and key agreement for UAV-assisted AGS communication in internet of vessels by Shang Gao, Zuobin Ying, Zijie Pan, Jianping Cai, Maode Ma

“…However, in the complex network environment of the Internet of Vessels, AGS presents significant security challenges, such as unauthorized access that leads to data breaches. …”
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Application of Gated Recurrent Unit in Electroencephalogram (EEG)-Based Mental State Classification by Gst. Ayu Vida Mastrika Giri, Ngurah Agus Sanjaya ER, I Ketut Gede Suhartana

“…Due to high signal variability and sensitivity to noise, correct classification is still tricky, even with advances in the analysis of EEG signals. Among deep learning models, Gated Recurrent Unit (GRU) models have established great potential for sequential EEG data analysis. …”
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Land Quality Index for Paddy (Oryza sativa L.) Cultivation Area Based on Deep Learning Approach using Geographical Information System and Geostatistical Techniques by Nurettin ŞENYER, Hasan AKAY, Mehmet Serhat ODABAS, Orhan DENGIZ, Saravanan SIVARAJAN

“…Therefore, different models were suggested for each network output. The R2 values indicated a respectable level for parameter prediction, and an accuracy of 88% was attained when classifying "class" data. …”

Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current by Pengwei Wang, Bingyin Xu, Tony Yip, Dong Liang, Guofeng Zou

“…To address the challenge of accurately identifying tree-related high-impedance earth faults (THIEFs), a method based on long-term fluctuations in zero-sequence current is proposed. The analysis of the recorded data from staged tests in a real test network reveals the development patterns of THIEFs and their zero-sequence characteristics during the fault process. …”
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Client engagement solution for post implementation issues in software industry using blockchain by Muhammad Shoaib Farooq, Khurram Irshad, Danish Riaz, Nagwan Abdel Samee, Ernesto Bautista Thompson, Daniel Gavilanes Aray, Imran Ashraf

“…It removes the ambiguity between various development teams if the client has only shared the requirement with one team. The data is stored in the decentralized network from where information is gathered which resolves the traceability, transparency, and trust issues. …”
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A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

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Residential Electricity Load Model Construction in District Scale by Jieyan XU, Wenyang XU, Yuan CHU, Yuan JIN, Xuyuan KANG, Zheng CHEN

“…To conclude, this study builds a complete research method of data outlier preprocessing, clustering analysis, model construction and model verification, it can effectively solve the needs of power energy Internet construction for the end use energy consumption analysis of a large amount.…”
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Response Characteristics of Soil Saturated Hydraulic Conductivity after Returning Orchard to Farmland on the Loess Plateau by LI Shuyi, YUAN Yaoyao, ZHANG Chenchen, QIAO Jiangbo, ZHU Yuanjun, JIA Xiaoxu, SHAO mingan

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An Intelligent Trajectory Prediction Algorithm for Hypersonic Glide Targets Based on Maneuver Mode Identification by Mingjie Li, Chijun Zhou, Lei Shao, Humin Lei

“…For the test data set, when the observation time for the target is 200 s and the prediction time is 150 s, with a fast prediction speed, our method’s average error of spatial distance (AESD) is less than 2.9 km, and the maximum error of spatial distance (MESD) is less than 6.9 km. …”
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Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study. by Solange Amorim Nogueira, Fernanda Ambrogi B Luz, Thiago Fellipe O Camargo, Julio Cesar S Oliveira, Guilherme Carvalho Campos Neto, Felipe Brazao F Carvalhaes, Marcio Rodrigues C Reis, Paulo Victor Santos, Giovanna Souza Mendes, Rafael Maffei Loureiro, Daniel Tornieri, Viviane M Gomes Pacheco, Antonio Paulo Coimbra, Wesley Pacheco Calixto

“…The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. …”
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MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12 by Xupeng Yin, Zikai Zhao, Liguo Weng

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Complex Word Formation in Contemporary Syntactic Frameworks: Scientometric Investigation and Its Relevance to Grammar Pedagogy by Danang Satria Nugraha

“…Employing bibliographic data of 350 journal articles (2014 – 2024) retrieved from Scopus, the study examined publication trends, author productivity, and prominent publication avenues, utilizing VOSviewer for data visualization and network analysis. …”
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Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma by Gizem Özçıbık Işık, Burcu Kılıç, Ezel Erşen, Mehmet Kamil Kaynak, Akif Turna, Onur Sefa Özçıbık, Tülay Yıldırım, Hasan Volkan Kara

“…Test F1 1 score was 75.0%, test F1 0 score was 89.5%, and test F1 average score was 82.3%. The AUC in the ROC curve created for the success analysis of the algorithm's test data was 0.83. …”
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Abalone Muscle Texture Evaluation and Prediction Based on TPA Experiment by Jiaxu Dong, Xiaoyan Fang, Huihui Wang, Xu Zhang, Xueheng Tao

“…Specifically, a back propagation (BP) neural network was introduced to predict the equations of statistically significant sensory hardness, springiness, and smell using the texture data gained through TPA (texture profile analysis) experiments as input and sensory evaluation data as the desired output. …”
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G-ROBOT: An Intelligent Greenhouse Seedling Height Inspection Robot by Baoqi Wang, Yang Ding, Chunyan Wang, Deyu Li, Hongchang Wang, Zhilong Bie, Yuan Huang, Shengyong Xu

“…The results of the greenhouse experiment showed that the robot has an average battery life of 5.2 h after being fully charged, with satisfactory motion stability and environmental adaptability; the environmental information data collected were valid, and errors were within the acceptable range; the captured seedling crop images were of high quality, and the seedling height data obtained through algorithm analysis were valid and reliable. …”
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