A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application by Md. Ibne Joha, Md Minhazur Rahman, Md Shahriar Nazim, Yeong Min Jang

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Application of Six Sigma management in infection control in the operating room (六西格玛管理在手术室感染控制中的应用效果) by XU Xu (徐旭), REN Guqun (任顾群), WANG Yuena (刘建荣), LIU Jianrong (高燕), GAO Yan (王小洁), WANG Xiaojie (许远乐)

“…Satisfaction rate in the observation group was higher than that in the control group(P＜0. 01). Conclusion Application of Six Sigma projects could effectively reduce the risk of operation error, iatrogenic infection and massive bleeding during and after operation, improve patient satisfaction and the management efficiency in the operating room. …”
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Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for... by Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Herminio S. Gomes, Vinicius D. Lima, Gervasio P. S. Cavalcante

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Corrections to “St-Hot: A Prospect of Price Equilibrium in a Multi-Player Game for Electric Vehicle Charging Application” by Ajay Kumar Gupta, Manav R. Bhatnagar

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Enhancing Extreme Learning Machine Robustness via Residual-Variance-Aware Dynamic Weighting and Broyden–Fletcher–Goldfarb–Shanno Optimization: Application to Metro Crowd Flow Predi... by Lihui Wang, Jianguang Xie

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In Situ Evaluation of the Self-Heating Effect in Resistance Temperature Sensors by Przemysław Otomański, Eligiusz Pawłowski, Anna Szlachta

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Application of novel oligomeric Co(II) complexes of 4,4′-bipyridine and 1,10-phenanthroline modified glassy carbon electrode for differential pulse voltammetric determination of ci... by Mezgebu Biresaw, Adane Kassa, Getinet Tamiru Tigineh, Atakilt Abebe

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Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and... by Kahina Imene Benramdane, Mohamed El Moundhir Hadji, Mohamed Khodja, Nadjib Drouiche, Bruno Grassl, Seif El Islam Lebouachera

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Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller by Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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An Ultra-Low-Power High-Precision Temperature Sensor Using Nonlinear Calibration with an Inaccuracy of +0.6/−1 °C from −30 °C to 90 °C for RFID Applications by Hanyang Wang, Zhonghan Shen, Hao Min

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An efficient field programmable gate arrays based real‐time implementation of smooth variable structure filter to estimate the state of charge of Li‐ion battery in electric vehicle... by Sabeur Jemmali, Mahmoud Hamouda, Bilal Manaï

“…The average estimation errors of the SoC and battery voltage at different temperatures are kept within 4.95% and 2.35% respectively. …”
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YOLO-Pika: a lightweight improved model of YOLOv8n incorporating Fusion_Block and multi-scale fusion FPN and its application in the precise detection of plateau pikas by Yihao Liu, Jianyun Zhao, Changjun Xu, Yuedi Hou, Yuxiang Jiang

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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

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AI-Driven Mapping System for Smart Parking Management Applications Using an INS-GNSS-Solid-State LiDAR-Monocular Camera Fusion Engine Empowered by HD Maps by Kai-Wei Chiang, Syun Tsai, Jou-An Chen, Surachet Srinara, Meng-Lun Tsai, Chih-Yun Hsieh, Jyun-Yang Hung, Chalermchon Satirapod, Naser El-Sheimy

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The Application of Vibroacoustic Mean and Peak-to-Peak Estimates to Assess the Rapidly Changing Thermodynamic Process of Converting Energy Obtained from Various Fuel Compositions U... by Marek Waligórski, Maciej Bajerlein, Wojciech Karpiuk, Rafał Smolec, Jakub Pełczyński

“…Mathematical models of combustion and its variability were created using the mean, peak-to-peak amplitude, root mean square error, and peak amplitudes of vibration accelerations, which were also represented using vibration graphics. …”
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Improving the Efficiency of Essential Oil Distillation via Recurrent Water and Steam Distillation: Application of a 500-L Prototype Distillation Machine and Different Raw Material... by Namphon Pipatpaiboon, Thanya Parametthanuwat, Nipon Bhuwakietkumjohn, Yulong Ding, Yongliang Li, Surachet Sichamnan

“…The results showed the design, construction, and heat loss error values of the 500 L PDM were 5.90 ± 0.29% and 7.83 ± 0.39%, respectively, leading to the use and percentage of useful heat energy to stabilize at 29,880 ± 1,494 kJ/s and 22.47 ± 1.12%, respectively. …”
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Application of drug information cards in drug safety management in clinical settings (口服药图集卡在临床安全用药管理中的应用) by LUO Nenmiao (罗嫩苗), WANG Yuanyuan (王媛媛), LONG Yan (龙艳)

“…The rate of implementation of health education on medication among nurses increased from 80. 50% before implementation to 99. 40% after implementation. Conclusion The application of drug information cards is help to increase pharmacological knowledge level of nurses and reduce medication error. …”
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Optimising air quality prediction in smart cities with hybrid particle swarm optimization‐long‐short term memory‐recurrent neural network model by Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Samiya, Vivek Jaglan, Roobaea Alroobaea, Momina Shaheen, Faizan Ahmad

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Avaliação de modelos digitais de elevação para aplicação em um mapeamento digital de solos Evaluation of digital elevation models for application in a digital soil mapping by César S. Chagas, Elpídio I. Fernandes Filho, Márcio F. Rocha, Waldir de Carvalho Júnior, Nestor C. Souza Neto

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Machine Learning‐Driven Extraction of Hybrid Compact Models Integrating Neural Networks and Berkeley Short‐Channel Insulated‐Gate Field‐Effect Transistor Model‐Common Multigate for... by Seungjoon Eom, Seunghwan Lee, Hyeok Yun, Kyeongrae Cho, Soomin Kim, Rockhyun Baek

“…This approach showed significant error reductions compared to the BSIM model alone and demonstrated robust performance across devices with variations, proving its effectiveness for large‐scale applications.…”
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