Analysis on the Stability of Leading Phase Operation for QFQS-200 Generator by Lv Yan-ling, ZHANG Jie, GAO Yu-ting

“…Making sure generator operation under the optimal phase depth is necessary． Finally，multi-generators leading phase system simulation model is established，and the model is used to simulate the leading phase operation． …”
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Monitoring of greenhouse gas emission drivers in Atlantic Canadian Potato production: A robust explainable intelligent glass-box by Mehdi Jamei, Muhammad Hassan, Aitazaz A. Faroouqe, Mumtaz Ali, Masoud Karbasi, Gurjit S. Randhawa, Zaher Mundher Yaseen, Ross Dwyer

“…This advanced framework includes a transparent multi-level pre-processing module and a Runge-Kutta optimizer (RUN), integrated with an eXplainable gradient-boosted decision Tree (GBDT) machine learning (ML) technique. …”
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A Forecasting Approach for Wholesale Market Agricultural Product Prices Based on Combined Residual Correction by Bo Li, Yuanqiang Lian

“…Initially, the sparrow search algorithm (SSA) is used to optimize the penalty factors and kernel parameters of support vector regression (SVR) and the input weights and hidden layer biases of the extreme learning machine (ELM), thereby improving the convergence rate and predictive accuracy of these models. …”
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Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

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Leveraging Artificial Intelligence in Project Management: A Systematic Review of Applications, Challenges, and Future Directions by Dorothea S. Adamantiadou, Loukas Tsironis

“…AI techniques such as machine learning, deep learning, and hybrid models have exhibited their potential to enhance PM techniques across projects’ phases, including planning, execution, and monitoring. …”
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Evaluating urban traffic dynamics: a study of mobility in Vellore city by S. Parkavi, A. Parthiban

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Simulação do comportamento dinâmico de um conjunto trator-colhedora de feijão Simulation of dynamic performance of a tractor-harvester system for beans by Ricardo F. Garcia, Daniel M. de Queiroz, Haroldo C. Fernandes, Olímpio H. Miyagaki

“…The harvesters are generally tractor pulled. The design optimization of these machines has been done by trial and error. …”
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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

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SpyKing—Privacy-preserving framework for Spiking Neural Networks by Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique

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Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring... by Yixuan Qiu, Zhongya Fan, Huiyun Feng, Yutao Wang, Dan Li, Wencai Wang, Ruting Huang, Jingang Jiang

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Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change by Ioannis Adamopoulos, Antonios Valamontes, Panagiotis Tsirkas, George Dounias

“…This study employs Artificial Intelligence (AI)-driven predictive analytics and secondary data analysis to assess hazards and forecast burnout risks. Machine learning models, including eXtreme Gradient Boosting (XGBoost 3.0), Random Forest, Autoencoders, and Long Short-Term Memory (LSTMs), achieved 85–90% accuracy in hazard prediction, reducing workplace incidents by 35% over six months. …”
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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…For its purpose, by employing innovative techniques, such as Methods Based on Removal Effects of Criteria (MEREC/Me) Water Quality Index (WQI), Multi-Criteria Decision-Making analysis namely Additive Ratio Assessment (ARAS) modeling and Machine Learning approaches entitled as Random Forest (RF) technique, the present study identifies locations, which have encountered the highest influence of cumulative factors such as discharge of sewage, lowering of water table, dilution and surface runoff, which lead to water quality variability in a water body over a monitoring period. …”
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Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan, Ying Wang

“…Based on the machine learning algorithm, a carbon emissions prediction model for prefabricated buildings’ construction stage was established and hyperparameter optimization was conducted. …”
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Rainfall Prediction in Khorasan Razavi Stations Using a Hybrid Neural Network and Genetic Algorithm Approach by Mahdi Naseri, Mahsa Mardani

“…The performance of the proposed NARXGA model was compared with several benchmark models, including traditional time series models ARIMA, Holt-Winters Exponential Smoothing (HWES), and machine learning models, such as LSTM, CNN1D and the standalone NARX network. …”
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Soil Parameter Inversion in Dredger Fill Strata Using GWO-MLSSVR for Deep Foundation Pit Engineering by Changrui Chen, Sifan Li, Jinbi Ye, Fangjian Chen, Yibin Wu, Jin Yu, Yanyan Cai, Jinna Lin, Xianqi Zhou

“…This study presents an inverse analysis method using Multioutput Least-Squares Support Vector Regression (MLSSVR) optimized by the Gray Wolf Optimization (GWO) algorithm to invert key parameters of the Hardening Soil (HS) model. …”
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Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Bayode Ogunleye

“…By leveraging advanced natural language processing models like GPT-4 and FinBERT, alongside a traditional machine learning model, Logistic Regression, we aim to classify market sentiment, generate sentiment scores, and predict market price movements. …”
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Review of Self-Powered Wireless Sensors by Triboelectric Breakdown Discharge by Shuzhe Liu, Jixin Yi, Guyu Jiang, Jiaxun Hou, Yin Yang, Guangli Li, Xuhui Sun, Zhen Wen

“…Key research directions are synthesized to enhance TENG-based sensing capabilities, including novel device architectures, the optimization of RLC circuit models, the integration of machine learning algorithms, and power management strategies. …”
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Analysis dynamic characteristics brushless motor of the mechatronic system in conditions of parametric uncertaintyby computer simulation methods by N. A. Malev, O. V. Pogoditsky, O. V. Kozelkov, A. M. Dyuryagin

“…Currently, brushless motors – electric machines with permanent magnets on the rotor and a rotor position sensor controlled by a sinusoidal voltage from frequency converters, are widely used in mechatronic and robotic systems. …”
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Study on the Damage Characteristics of Wheat Kernels under Continuous Compression Conditions by Xiaopeng Liu, Ziang Shi, Yonglin Zhang, Hui Li, Jin Zhou, Hongjun Yang

“…This paper provides a theoretical foundation for the structural design and optimization of processing parameters for wheat peeling machines.…”
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Application of AI-based Predictive Maintenance for Industrial Processes by Marko Fabić

“…Modern industry is increasingly relying on digital technologies to optimize maintenance processes, reduce costs and ultimately increase productivity. …”
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