Electric vehicle charging station demand prediction model deploying data slotting by A.V. Sreekumar, R.R. Lekshmi

Subjects: “…Energy demand prediction…”
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Graph-based machine learning model for weight prediction in protein–protein networks by Hajer Akid, Kirsley Chennen, Gabriel Frey, Julie Thompson, Mounir Ben Ayed, Nicolas Lachiche

“…Therefore, computational approaches have emerged as valuable tools for predicting missing interactions. In PPI networks, a graph is usually used to model the interactions between proteins. …”
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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

“…We compare different statistical modeling and Machine Learning techniques, identifying the ones with the greatest accuracy in predicting sentiments. …”
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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

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A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction by Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim

“…Therefore, this study attempts to analyze the effectiveness of the advanced machine learning and deep learning models for churn prediction in the evaluation of the models’ performance across different sectors. …”
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Machine learning models to predict onset of dementia: A label learning approach by Vijay S. Nori, Christopher A. Hane, William H. Crown, Rhoda Au, William J. Burke, Darshak M. Sanghavi, Paul Bleicher

“…Abstract Introduction The study objective was to build a machine learning model to predict incident mild cognitive impairment, Alzheimer's Disease, and related dementias from structured data using administrative and electronic health record sources. …”
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The Geometry of Flow: Advancing Predictions of River Geometry With Multi‐Model Machine Learning by Shuyu Y. Chang, Zahra Ghahremani, Laura Manuel, Seyed Mohammad Hassan Erfani, Chaopeng Shen, Sagy Cohen, Kimberly J. Van Meter, Jennifer L. Pierce, Ehab A. Meselhe, Erfan Goharian

“…In the present study, we have moved beyond these traditional power‐law relationships, testing the ability of machine‐learning models to provide improved predictions of river width and depth. …”
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Prediction of Streamflow of the Anai-Weir Catchment Using Both the SWAT and Mock Models by Mas Mera, Siti Hawa Binti Yusmardi, Junaidi Junaidi

“…This research focuses on predicting the streamflow of the Anai-weir catchment using the SWAT (Soil and Water Assessment Tools) and Mock models. …”
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Bankruptcy Prediction Using First-Order Autonomous Learning Multi-Model Classifier by Amine Sabek, Jakub Horák, Hussam Musa, Amélia Ferreira da Silva

Subjects: “…bankruptcy prediction…”
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Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models. by Ling Xu, Guang Tu, Zhonglan Cai, Tianbi Lan

“…Machine learning (ML) models offer a more accurate alternative for predicting outcomes by analyzing large datasets. …”
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A mathematical model to predict the change in direction of the common limb in Z plasty by Ellur Sunderraj, Guido Norman

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Soil Moisture Prediction Using the VIC Model Coupled with LSTMseq2seq by Xiuping Zhang, Xiufeng He, Rencai Lin, Xiaohua Xu, Yanping Shi, Zhenning Hu

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Enhancing mental well-being: An artificial intelligence model for predicting mental disorders by Jahanur Biswas, Md. Nahid Hasan, Md. Shakil Rahman Gazi, Md. Mahbubur Rahman

“…This imbalanced dataset is balanced by the Random Oversampling model. In our study, we introduced a state-of-the-art approach to predicting mental conditions such as depression, anxiety, and stress. …”
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Electric Vehicle Charging Demand Prediction Model Based on Spatiotemporal Attention Mechanism by Yang Chen, Zeyang Tang, Yibo Cui, Wei Rao, Yiwen Li

“…The experimental results indicate that the proposed model has a more powerful comprehensive ability to capture spatiotemporal relationships and improve accuracy and stability in different prediction steps.…”
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A Nomogram Model for Predicting Recurrent Coronary Thrombosis in Kawasaki Disease Patients by Zhou X, Peng Y, Yi Q

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Factors predicting the mathematics anxiety of adolescents: a structural equation modeling approach by Suman Ahmmed, Jashodhan Saha, Maruf Ahmed Tamal, Khondaker Abdullah Al Mamun, Sajani Islam

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Predicting transient response using data-driven models for ball-impact simulations by Ross Pivovar, Fei Chen, Raghunath Katragadda, Vidyasagar Ananthan

“…This study investigates the application of machine learning (ML) models for predicting transient responses in ball-impact elastodynamics simulations. …”
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Establishment of a nomogram model for predicting the risk of diabetic nephropathy in diabetic patients by HOU Xin-yue, HU Song, FEI Chun-xiao, LIU Shu-hao, SHAO Li-yan, XING Ang

“…Bootstrap was used to verify the model, to plot the ROC curve, and to calculate the predictive performance of the C-index evaluation model. …”
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A New Mathematical Model for Predicting the Surface Vibration Velocity on the Step Topography by Xu Wu, Qifeng Guo, Yunpeng Zhang

“…The regression analysis results show that the fitting coefficient of determination of the new prediction model is 0.8152 in horizontal and 0.8902 in vertical, respectively, and the prediction error is less than 20%, which is much better than other formulas. …”
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GA BP prediction model for energy consumption of steel rolling reheating furnace by Yi Duan, Guang Chen, Xiangjun Bao, Jing Xu, Lu Zhang, Xiaojing Yang

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