Deep Learning Based LSTM Model for Predicting the Number of Passengers for Public Transport Bus Operators by Joko Siswanto, Danny Manongga, Irwan Sembiring, Sutarto Wijono

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Predictive Archaeological Modeling with MaxEnt (Late Roman Settlements in The Upper Don Basin Case) by D. V. Sarychev, G. L. Zemtsov

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ATTITUDES OF EDUCATIONAL PROCESS PARTICIPANTS TOWARDS THE EVALUATION OF TEACHERS' PROFESSIONAL ACTIVITY by Lidiia Vashchenko

Interpretable artificial intelligence model for predicting heart failure severity after acute myocardial infarction by Chenglong Guo, Binyu Gao, Xuexue Han, Tianxing Zhang, Tianqi Tao, Jinggang Xia, Honglei Liu

“…This study aimed to develop an interpretable artificial intelligence (AI) model for HF severity prediction using multidimensional clinical data. …”
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Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease by Ying He, Fan Lin, Xin Zheng, Qiaobin Chen, Meng Xiao, Xiaoting Lin, Hongbiao Huang

“…This study presents a region-specific, interpretable ML model for early IVIG resistance prediction in KD. …”
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Improving drug-drug interaction prediction via in-context learning and judging with large language models by He Qi, He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao, Tianyi Zhao

“…To further refine predictions, we employ GPT-4 as a discriminator to assess the relevance of predictions generated by multiple LLMs.ResultsDDI-JUDGE achieves the best performance among all models in both zero-shot and few-shot settings, with an AUC of 0.642/0.788 and AUPR of 0.629/0.801, respectively. …”
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A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset. by Francis Hane, Carolyn Augusta, Owen Bai

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XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults by Miguel A. Fernández-Blázquez, José M. Ruiz-Sánchez de León, Rubén Sanz-Blasco, Emilio Verche, Marina Ávila-Villanueva, María José Gil-Moreno, Mercedes Montenegro-Peña, Carmen Terrón, Cristina Fernández-García, Jaime Gómez-Ramírez

“…The aim of this study is to develop and validate machine learning (ML) models based on non-imaging features to predict the risk of MCI conversion in cognitively healthy older adults over a three-year period. …”
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Analysis of influencing factors and trend prediction based on quantile regression and GM(1, 1) model by Lianhui Li, Adham Manyara, Jie Liu

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Development of the educational activity monitoring system on the basis of competence-based approach by L. A. Makushkina, M. V. Fadeeva

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AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity by Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson

“…Recent advances in deep learning provide opportunities to address this challenge by learning sequence–function relationships to accurately predict fitness landscapes. These models enable efficient in silico prescreening and optimization of antibody candidates. …”
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Integrative machine learning model for subtype identification and prognostic prediction in lung squamous cell carcinoma by Guangliang Duan, Qi Huo, Wei Ni, Fei Ding, Yuefang Ye, Tingting Tang, Huiping Dai

“…Subsequently, four survival machine learning models were developed to predict LUSC prognosis. These models were validated in the testing sets and integrated into an online tool to assist in survival prediction. …”
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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

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Dynamics of Worm Propagation Model in Complex Networks Considering Benign Worm and Link Prediction Approach by Elham Asadi, Soodeh Hosseini

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Predictive Modeling of Atrial Fibrillation Using a Hybrid Multinomial-Neutrosophic Approach for Biomarker Identification, by Lorenzo Cevallos-Torres, Luis Pilacuan-Bonete, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Eduardo Rubio-Bonito

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Torque ripple reduction using adaptive gain model predictive control for induction motor drives by Seyed Morteza Banihashemy, Yousef Alinejad Bromi

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Prediction of sleep disorders using Novel decision support neutrosophic based machine learning models by Nihar Ranjan Panda, Surapati Paramanik, Prasanta Kumar Raut, Ruchi Bhuyan

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Mathematical prediction model for ground vibrations of nearby territories induced by high dam flood discharge by Wenjiao Zhang, Jijian Lian, Fang Liu, Xing Zhao, Chao Liang

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Predicting Wind Turbine Blade Tip Deformation With Long Short‐Term Memory (LSTM) Models by Shubham Baisthakur, Breiffni Fitzgerald

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Animal-sourced model of human norovirus infection predicted using environmental DNA metabarcoding analysis by Yukuto Sato, Jun Yasuda, Masahiro Sakurai

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