A data-to-forecast machine learning system for global weather by Xiuyu Sun, Xiaohui Zhong, Xiaoze Xu, Yuanqing Huang, Hao Li, J. David Neelin, Deliang Chen, Jie Feng, Wei Han, Libo Wu, Yuan Qi

Get full text

A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

“…Many feature selection methods tend to exclude variables that may not be individually powerful predictors but can collectively provide significant information, thereby constraining a model’s capabilities in learning environments. In contrast, Deep Learning (DL) models paired with Automated Machine Learning techniques can decrease the reliance on manual feature engineering, thereby enabling automatic fine-tuning of numerous model configurations. …”
Get full text

A Comprehensive Review on Next-Generation Modeling and Optimization for Semiconductor Devices by Pratikhya Raut, Deepak Kumar Panda, Amit Kumar Goyal

Get full text

Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

Get full text

Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment by WU Tiecheng, CAO Lei, YIN Lianhua, HE Youze, LIU Zhizhen, YANG Minguang, XU Ying, WU Jinsong

“…ObjectiveTo investigate the eye collateral channel characteristics of mild cognitive impairment (MCI) population, and to build an MCI identification model based on machine learning algorithms to provide an objective basis for early recognition of MCI.MethodsA total of 316 subjects from 5 communities in Fuzhou City, Fujian Province and the Health Management Center of the Second People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine were recruited from April to December 2022. …”
Get full text

Exercise Semantic Embedding for Knowledge Tracking in Open Domain by Zhi Cheng, Jinlong Li

Subjects: Get full text

Fast and effective assessment for individuals with special needs form optimization and prediction models by Bilal Baris Alkan, Muhammet Kumartas, Serafettin Kuzucuk, Nesrin Alkan

Get full text

An improved deep learning model for soybean future price prediction with hybrid data preprocessing strategy by Dingya CHEN, Hui LIU, Yanfei LI, Zhu DUAN

Get full text

Prediction of Middle School Students’ Recycling Behaviors with Machine Learning Algorithms by Fatma Merve Mustafaoğlu, Fatma Alkan

Get full text

Machine Learning Methods in the Comparative Evaluation of Various Approaches to the Surgical Treatment of Primary Angle Closure by N. I. Kurysheva, A. L. Pomerantsev, O. Ye. Rodionova, G. A. Sharova

Get full text

Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach by Qiulin Li, Jinchao He, Dewei Mu, Hao Liu, Shicheng Li

Get full text

Hybrid Learning Framework for Explainable Cardiovascular Disease Detection by Saeed Al Gharib, Jinan Charafeddine, Fadi Dornaika, Samir Haddad

Get full text

Strategies for Automated Identification of Food Waste in University Cafeterias: A Machine Vision Recognition Approach by Yongxin Li, Chaolong Zhang, Hui Xu, Yuantong Yang, Han Lu, Lei Deng

“…To ensure the effective implementation of food waste reduction in college cafeterias, Capital Normal University developed an automatic plate recognition system based on machine vision technology. The system operates by obtaining images of plates (whether clean or not) and the diners’ faces through multi-directional monitoring, then employs several deep learning models for the automatic localization and identification of the plates. …”
Get full text

Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach by Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, Hangyue Liu, David Casillas-Pérez, Andreas Helwig, Salvin S. Prasad, Jorge Pérez-Aracil, Prabal Datta Barua, Sancho Salcedo-Sanz

Get full text

Exploring the risk factors and clustering patterns of periodontitis in patients with different subtypes of diabetes through machine learning and cluster analysis by Anna Zhao, Yuxiang Chen, Haoran Yang, Tingting Chen, Xianqi Rao, Ziliang Li

“…A clinical prediction model for periodontitis risk in patients with diabetes was constructed via the XGBoost machine learning method. …”
Get full text

Machine learning-driven framework for realtime air quality assessment and predictive environmental health risk mapping by M. Rajesh, R. Ganesh Babu, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy

Get full text

Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach by Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro

Get full text

Assessing reading fluency in elementary grades: A machine learning approach by Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, Lieny Jeon, Emilia X.S. Albuquerque, Vanessa C. Silva, Vinícius F. da Silva, André L.A. Pinheiro, João P.J.R. Nunes, Suzana X.M.G. de Souza, Maxsuel S. Silva, Igor Mauro, Alexandre Magno Andrade Maciel

“…This study compares eleven widely used machine learning algorithms to identify the most accurate and comprehensive method for assessing children's reading fluency. …”
Get full text

A Multi‐Omics, Machine Learning‐Aware, Genome‐Wide Metabolic Model of Bacillus Subtilis Refines the Gene Expression and Cell Growth Prediction by Xinyu Bi, Yang Cheng, Xueqin Lv, Yanfeng Liu, Jianghua Li, Guocheng Du, Jian Chen, Long Liu

Get full text

Evaluation of the impact of ecological factors on the habitat suitability and bioactive components accumulation of the medicinal holoparasitic plant Cynomorium songaricum using mac... by Jiacheng Ji, Jiacheng Ji, Xinxin Wei, Xinxin Wei, Huan Guan, Huan Guan, Zikang Jin, Zikang Jin, Xin Yue, Zhuoran Jiang, Youla Su, Youla Su, Shuying Sun, Shuying Sun, Guilin Chen, Guilin Chen

Get full text