Artificial Neural Network Modeling for Spatial and Temporal Variations of Pore-Water Pressure Responses to Rainfall by M. R. Mustafa, R. B. Rezaur, H. Rahardjo, M. H. Isa, A. Arif

“…To investigate applicability of the model for prediction of spatial and temporal variations of pore-water pressure, the model was tested for the time series data of pore-water pressure at multiple soil depths (i.e., 0.5 m, 1.1 m, 1.7 m, 2.3 m, and 2.9 m). …”
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A New Coupled CFD/Neutron Kinetics System for High Fidelity Simulations of LWR Core Phenomena: Proof of Concept by Jorge Pérez Mañes, Victor Hugo Sánchez Espinoza, Sergio Chiva, Robert Stieglitz

“…The Institute for Neutron Physics and Reactor Technology (INR) at the Karlsruhe Institute of Technology (KIT) is investigating the application of the meso- and microscale analysis for the prediction of local safety parameters for light water reactors (LWR). …”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…Its system, timeliness, and risk prediction capabilities provide new ideas and suggestions for Internet consumer finance companies to design risk control strategies.…”
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Potential Locations of Strong Earthquakes in Bulgaria and the Neighbouring Regions by Alexander I. Gorshkov, Olga V. Novikova, Sonya Y. Dimitrova, Lyuba D. Dimova, Reneta B. Raykova

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Plasma lncRNA GAS8-AS1 as a Potential Biomarker of Papillary Thyroid Carcinoma in Chinese Patients by Dongxue Zhang, Xin Liu, Bojun Wei, Guoliang Qiao, Tao Jiang, Zhenwen Chen

“…The area under the receiver operating characteristic curve for GAS8-AS1 was 0.746 in LNM prediction (P<0.001). Conclusion. The present study indicates that circulating GAS8-AS1 is a potential biomarker for PTC diagnosis and LNM prediction.…”
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Influence of Degree of Compaction on Unsaturated Hydraulic Properties of a Compacted Completely Decomposed Granite by Rui Chen, Runqiang Tan, Zhongkui Chen, Yang Ping, Zhen Mei

“…Furthermore, the UPFs of CDG under different values of DOC were calculated using four prediction models and compared with experimental data. …”
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GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India by Senthilkumar Harithaa, Selvaraj Evany Nithya

“…Validation of the FR and SE models using the receiver operating characteristic curve yielded prediction accuracies of 81.6 and 82%, respectively. …”
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Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system by Luis Javier Montiel-Olguín, Felipe de Jesús Ruiz-López, Sergio Gómez-Rosales, Germinal Jorge Cantó-Alarcón, Eliab Estrada-Cortés, Héctor Raymundo Vera-Ávila

“…The Bayesian information criterion (BIC) and mean square prediction error (MSPE) were used to assess the fit of the models to the observed data, and the root mean square prediction error as a percentage of the observed mean (%RMSPE) was used to evaluate the accuracy of the models. …”
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Defect modeling in semiconductors: the role of first principles simulations and machine learning by Md Habibur Rahman, Arun Mannodi-Kanakkithodi

“…ML techniques, particularly neural networks, have emerged as powerful tools for enabling rapid prediction of defect properties at DFT-accuracy in order to overcome the expense of using large supercells and advanced functionals. …”
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Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin by iran salehvand, amir gandomkar, ebrahim fatahi

“…Rainfall prediction plays an important role in flood management and flood alert. …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…The accurate prediction of optimum load is crucial for electric utilities while planning and forecasting. …”
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Analysis of Shear Stress and Rutting Performance of Semirigid Base Asphalt Pavement on Steep Longitudinal Slope by Jiafu Guo, Song Yang, Yongchao Sun, Zhensheng Chao, Ruikang Yang, Huailei Cheng

“…Finally, the rutting prediction model was used to evaluate the rutting performance of the steep longitudinal slope section. …”
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Analysing COVID-19 Verified, Recuperate and Death Cases in Ethiopia Using ARIMA Models by Birhanu Betela Warssamo

“… Applying a successful prediction of the confirmed, recovered and deaths is thought to be the basic requirement to successfully control the spreading rate of diseases. …”
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Satellite-Driven Hydrological Modelling in Ungauged Moroccan bassins: Case study Ouzoud river by Zilali Abdessamad, Larabi Abdelkader, Ajdor Youssef

“…Predicting streamflow is vital for flash-flood early warning systems and managing water resources under climate change. …”
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Algo-Trading Strategy for Intraweek Foreign Exchange Speculation Based on Random Forest and Probit Regression by Younes Chihab, Zineb Bousbaa, Marouane Chihab, Omar Bencharef, Soumia Ziti

“…The proposed system allows improving the prediction accuracy. This indicates a good prediction of the behavior market and it helps to identify the good times to enter it or to leave it.…”
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Machine Learning  Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka by Piyal Ekanayake, Windhya Rankothge, Rukmal Weliwatta, Jeevani W. Jayasinghe

“…As per the results, RF is a reliable and accurate model for the prediction of paddy yield in Sri Lanka, demonstrating a very high R of 0.99 and the least MAPE of 1.4%.…”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

“…Most existing methods for wafer map defect classification primarily rely on images alone for model training and prediction. However, these approaches often lack interpretability, which can hinder process improvement and problem-solving efforts. …”
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An Ecolevel Estimation Method of Individual Driver Performance Based on Driving Simulator Experiment by Yiping Wu, Xiaohua Zhao, Ying Yao, Jian Rong

“…The validation test of 16 sample data items showed that the mean prediction accuracy of our developed model was 92.89%. …”
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Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…While initially trained specifically for detecting ictal activity, these algorithms can be fine-tuned for improved interictal detection, aiming at seizure prediction. Our results suggest that these algorithms can effectively capture epileptiform activity, supporting seizure detection and, possibly, seizure prediction and control. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…At the target tracking stage, the so-called NGCTrack in our algorithm replaces IOU with GIOU and employs a modified NSA Kalman filter to adjust the state-space aspect ratio for width prediction. Finally, the camera adjustment mechanism was introduced to improve the precision and consistency of tracking. …”
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