System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

“…Combining the construction goals and principles of the talent supply chain management system, this study constructs the overall framework and operational process of the enterprise talent supply chain management system based on the decision tree model from the overall level and the operational level. …”
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Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system by R. R. King, M. J. Martin, L. Gaultier, J. Waters, C. Ubelmann, C. Donlon

“…We focus on the expected impact on the Met Office operational ocean analysis and forecasting system of assimilating an observation network including either 12 nadir altimeters or 2 wide-swath altimeters.…”
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Design of a nutrient solution supply device for a vertical aeroponic cultivation system by Yihan He, Xinghua Zhang, Ting Wang, Xinyu Tan, Shuguang Liu

“…Aeroponic cultivation systems provide precise environmental control for plant growth, effectively block the reproductive pathways of root diseases and pests, and facilitate efficient water resource recycling, thereby offering a scalable technical solution for intensive, high-yield, and sustainable agricultural production. …”
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CNN–Patch–Transformer-Based Temperature Prediction Model for Battery Energy Storage Systems by Yafei Li, Kejun Qian, Qiuying Shen, Qianli Ma, Xiaoliang Wang, Zelin Wang

“…Accurate predictions of the temperature of battery energy storage systems (BESSs) are crucial for ensuring their efficient and safe operation. …”
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Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment by A.F. Mohamed, H. Rezk

“…In compared to analysis of variance adaptive neuro-fuzzy inference system lowered the root mean square error from 2.8 to 0.836 (a 70 percent decrease). …”
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Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning by Joao P. A. Dantas, Marcos R. O. A. Maximo, Takashi Yoneyama

“…These findings demonstrate the potential for deploying such models in fully autonomous aircraft, enhancing autonomous combat systems’ reliability and operational effectiveness in real-world scenarios.…”
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SMS Spam Detection System Based on Deep Learning Architectures for Turkish and English Messages by Hakan Can Altunay, Zafer Albayrak

“…Companies use SMS for advertisement purposes due to the fact that e-mail filtering systems have rooted, short message systems are being undersold by the operators, and spam detection and blocking systems used for short messages are ineffective. …”
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Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression by Abha Pragati, Manohar Mishra, Pritam Bhowmik, Josep M. Guerrero, Debadatta Amaresh Gadanayak

“…This study proposes an improved Gaussian process regression (IGPR)-based fault location method for a multi-terminal high voltage DC (HVDC) system. Initially, DC voltage and current signals are captured from relay locations (both positive and negative poles) under various operating conditions during a DC fault event. …”
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Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects by Rashid Naseem, Bilal Khan, Arshad Ahmad, Ahmad Almogren, Saima Jabeen, Bashir Hayat, Muhammad Arif Shah

“…Defect prediction and correctness leads to the assurance of the quality of software systems and has remained integral to study in the previous years. …”
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Estimating Solar Insolation and Power Generation of Photovoltaic Systems Using Previous Day Weather Data by Min Hee Chung

“…Day-ahead predictions of solar insolation are useful for forecasting the energy production of photovoltaic (PV) systems attached to buildings, and accurate forecasts are essential for operational efficiency and trading markets. …”
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Evaluation of Reconstructions of Snow/Ice Melt in Greenland by Regional Atmospheric Climate Models Using Laser Altimetry Data by Tyler C. Sutterley, Isabella Velicogna, Xavier Fettweis, Eric Rignot, Brice Noël, Michiel van denBroeke

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Development of a Microstream End-Tidal Carbon Dioxide Monitoring System with Integrated Gas Circuit by Yanan LIU, Xuedong SONG, Qi YIN, Fuhao KANG, Yan HANG, Jilun YE, Xu ZHANG

“…The system uses the method of calculating the root mean square (RMS) of differential pressure signals to regulate the gas circuit flow, enabling the system to stably operate at a flow state of 30 mL/min. …”
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Countermeasures for Abnormal Arcing and Burning of Pantograph-Catenary System in Urban Rail Transit Vehicle Base by LI Zeyu

“…To ensure the reliability of catenary equipment, the PC system operational safety and train operational stability, it is crucial to adopt effective measures to address abnormal arcing and burning in PC system in vehicle bases. …”
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Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

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A Data-Driven Method for Deriving the Dynamic Characteristics of Marginal Carbon Emissions for Power Systems by Bing Fang, Jiayi Zhang, Shuangyin Chen, Li Li, Shanli Wang, Mingzhe Wen

“…Understanding the dynamic carbon emission status is vital for turning a power system into a low-carbon system. However, the existing research has normally considered the average carbon emissions as the indicator for the operation and planning of power systems. …”
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Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…We compare our system’s performance under various operational scenarios against an array of common optimization algorithms. …”
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Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air by Jiayu Yang, Huabing Ke, Sunling Gong, Yaqiang Wang, Lei Zhang, Chunhong Zhou, Jingyue Mo, Yan You

“…Similarly, for the O3 forecasts, the R value is improved by 0.09–0.44, and ME and RMSE values are reduced by 7.1–22.8 and 9.0–25.9 μg/m³, respectively. Case analyses of operational forecasting also indicate that the AI‐Air system can significantly improve the forecasting performance of pollutant concentrations and effectively correct underestimation, or overestimation phenomena compared to the CUACE model. …”
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Harnessing machine learning for transmembrane pressure prediction in MBR systems during textile wastewater treatment by Onaira Zahoor, Sher Jamal Khan, Muhammad Usama, Henry J. Tanudjaja, Noreddine Ghaffour, Muhammad Saqib Nawaz

“…The random forest model attained an R2 of 0.95 and 0.86 and root mean square error values of 1.75 kPa and 3.3 kPa for the training and test datasets, respectively, demonstrating the best predictive accuracy. …”
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Dynamic Characteristics Analysis of the DI-SO Cylindrical Spur Gear System Based on Meshing Conditions by Yong Zhu, Shida Zhang, Shengnan Tang, Zhengxi Chang, Renyong Lin, Lingbo Zhang

“…In practical operation, the stability of the DI-SO cylindrical spur gear system is influenced by complex excitations. …”
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Optimal setting automatic excitation controllers for synchronous generators by R. I. Kanafeev, A. D. Zhirnov, T. G. Klimova

“…Produced practical study received AEC SG setup parameters to software and hardware complex RTDS (Real Time Digital Simulator) for program certification tests defined in Standard of System Operator of the Unified Power System. On the basis of performed measurements obtained after simulating different perturbations are determined optimal settings. …”
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