Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study by Younseo Jang

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Space-Time Distribution Laws of Tunnel Excavation Damaged Zones (EDZs) in Deep Mines and EDZ Prediction Modeling by Random Forest Regression by Qiang Xie, Kang Peng

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Integrating machine learning-based classification and regression models for solvent regeneration prediction in post-combustion carbon capture: An absorption-based case by Farzin Hosseinifard, Mostafa Setak, Majid Amidpour

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SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…Traditional protein binding site prediction models usually extract residue features manually and then employ a graph or point-cloud-based architecture borrowed from other fields. …”
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Study on the prediction model of non-suicidal self-injury behavior risk during hospitalization for adolescent inpatients with depression based on medical data by Yanyan Zhang, Huirong Guo, Yali Wang, Junru Wang, Yuming Ren

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Prediction of the main degradation mechanisms in a hot forging steel die: Optical scanning, simulation, microstructural evolution, and neural network modeling by Aliakbar Emamverdian, Catalin Pruncu, Hongsheng Liu, Atabak Rahimzadeh, Luciano Lamberti

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Enhancing electric vehicle range through real-time failure prediction and optimization: Introduction to DHBA-FPM model with an artificial intelligence approach by Yunus Emre Ekici, Teoman Karadağ, Ozan Akdağ, Ahmet Arif Aydin, Hüseyin Ozan Tekin

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PREDICTION OF CARDIORESPIRATORY FITNESS IN THE BRAZILIAN POPULATION AGED 20 TO 59 YEARS: A NON-EXERCISE MODEL APPROACH WITH SELF-REPORTED VARIABLES by Geraldo Maranhao Neto, Rodrigo Pedreiro, Aldair Oliveira, Sergio Machado, Lucas Vieira, Silvio Marques Neto, Antonio Ponce Leon

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Long-term comparative analysis of machine learning models: A deep dive into applications of artificial intelligence for enhancing photovoltaic performance prediction by Ali Akbar Yaghoubi, Mahdi Gandomzadeh, Aslan Gholami, Roghayeh Gavagsaz-Ghoachani, Majid Zandi

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ILD-GAP Combined with the Charlson Comorbidity Index Score (ILD-GAPC) as a Prognostic Prediction Model in Patients with Interstitial Lung Disease by Hiroaki Fujii, Yu Hara, Yusuke Saigusa, Yoichi Tagami, Kota Murohashi, Ryo Nagasawa, Ayako Aoki, Ami Izawa, Kenichi Seki, Keisuke Watanabe, Nobuyuki Horita, Nobuaki Kobayashi, Takeshi Kaneko

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Predicting the potential geographic distribution of Bactrocera bryoniae and Bactrocera neohumeralis (Diptera: Tephritidae) in China using MaxEnt ecological niche modeling by Jing WAN, Guo-jun QI, Jun MA, Yonglin Ren, Rui WANG, Simon McKirdy

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Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology by Rúben Duarte M. A. Pereira, Cátia M. Salgado, Andre Dejam, Shane R. Reti, Susana M. Vieira, João M. C. Sousa, Leo A. Celi, Stan N. Finkelstein

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Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China by Chengyu Li, Qunwei Wang, Peng Zhou

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A data-driven reduced-order model for fast prediction of resonant acoustic flow under vertical vibration based on secondary decomposition by Yuqi Gao, Ning Ma, Shifu Zhu, Pengchao Zhang, Hongxing Liu, Zhongyuan Xie

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Prediction of heat transfer in a rotor-stator cavity cooled by multiple jets: Integration of CFD models and machine learning for performance optimization by Abdellatif EL hannaoui, Rachid Boutarfa

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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

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A Post-Harvest Prediction Mass Loss Model for Tomato Fruit Using A Numerical Methodology Centered on Approximation Error Minimization by Francisco Javier Bucio, Cesar Isaza, Jose Amilcar Rizzo Sierra, Jonny Zavala de Paz, Ely Karina Anaya Rivera, Enrique Gonzalez Gutierrez

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Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study by Xinglin Yi, Yuhan Zhang, Juan Cai, Yu Hu, Kai Wen, Pan Xie, Na Yin, Xiangdong Zhou, Hu Luo

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Construction of an Excellent 7 mRNAsi-Related Gene Model Based on Cancer Stem Cells for Predicting Survival Outcome of Cervical Cancer by Yang Liu, Lin Yang, Hao Liang, Jianhua Zeng, Yuanyuan Hua, Huan Wu

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Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering by Zhenzhu Meng, Yating Hu, Shunqiang Jiang, Sen Zheng, Jinxin Zhang, Zhenxia Yuan, Shaofeng Yao

“…Overall, the proposed model offers a robust and data-efficient solution for slope deformation prediction, providing substantial potential for early warning systems and risk management.…”
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