Leveraging Machine Learning and Remote Sensing for Water Quality Analysis in Lake Ranco, Southern Chile by Lien Rodríguez-López, Lisandra Bravo Alvarez, Iongel Duran-Llacer, David E. Ruíz-Guirola, Samuel Montejo-Sánchez, Rebeca Martínez-Retureta, Ernesto López-Morales, Luc Bourrel, Frédéric Frappart, Roberto Urrutia

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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

“…Each model can offer unique strengths, with BI-LSTM and LSTM excelling at learning sequential dependencies, whereas XGBoost and RF provide powerful and often interpretable results from structured tabular data. …”
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Diagnostic systematic review and meta-analysis of machine learning in predicting biochemical recurrence of prostate cancer by Chenyang Ling, Ning Tao, Abudukeyoumu Maimaitiyimin, Yifan Zhang, Miao Yao, Hongyu Pu, Xiaodong Li, Yujie Wang, Hengqing An

“…Incorporating multimodal data, such as imaging, enhances predictive accuracy. …”
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Detection of Psychomotor Retardation in Youth Depression: A Machine Learning Approach to Kinematic Analysis of Handwriting by Vladimir Džepina, Nikola Ivančević, Sunčica Rosić, Blažo Nikolić, Dejan Stevanović, Jasna Jančić, Milica M. Janković

“…This study proposes a novel machine learning framework leveraging kinematic handwriting analysis to enhance the detection of psychomotor disturbances indicative of psychomotor retardation in youths with depression. …”
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

“…Abstract With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to learn from data, detect trends, and make predictions. …”
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Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis by Ali Nabavi, Mohammad Kashkooli, Sara Sadat Nabavizadeh, Farimah Safari

“…This study leverages a machine learning framework to investigate these associations, offering a novel approach to understanding the interplay between environmental exposures and hearing loss.MethodsWe conducted a retrospective cross-sectional analysis using data from the 2012–2018 National Health and Nutrition Examination Survey (NHANES), encompassing 2,772 participants after applying exclusion criteria. …”
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Analysis of Discipline, Effectiveness and Barriers to Online Learning During the Pandemic Reviewed From The Views of Students by Nanda Aulya, Nur Karmila, Rika Wulandari

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Need Analysis of Flipped Learning English-Based Speaking Materials for Faculty Economics and Business Students by Sumti Chusna, Nur Mukminatien, Ekaning Dewanti Laksmi

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A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach. by Michal Bozděch, Dominik Puda, Pavel Grasgruber

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Using Machine Learning for Analysis of Wideband Acoustic Immittance and Assessment of Middle Ear Function in Infants by Shan Peng, Yukun Zhao, Xinyi Yao, Huilin Yin, Bei Ma, Ke Liu, Gang Li, Yang Cao

“…However, current clinical practices often restrict WAI data analysis to peak information at specific frequencies, limiting its comprehensiveness. …”
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Latency Analysis of UAV-Assisted Vehicular Communications Using Personalized Federated Learning with Attention Mechanism by Abhishek Gupta, Xavier Fernando

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Media Analysis of the Quizizz Application in Elementary School Science Learning: A Systematic Literature Review by Aldona Aqtoina, Rohmani

“…Data were analyzed using descriptive analysis techniques by identifying key themes, recurring patterns, and research gaps in previous studies. …”
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Relationship analysis between deterioration of switch support and railway passenger comfort using machine learning by Sresakoolchai Jessada, Cheputeh Ni-Asri

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Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis by Yuanbo Bi, Dongrui Li, Ruochen Pang, Chengxv Du, Da Li, Xiaoyv Zhao, Haitao Lv

“…Two reviewers independently screened and extracted data. Quality was assessed using QUADAS-2, with StataMP 17 for meta-analysis.ResultsIn this study, 422 articles were retrieved, and 7 were finally included for meta-analysis. …”
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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…In this study, we used artificial intelligence (AI) and machine learning (ML) techniques to analyze the data generated by SFRA tests. …”
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Comparative Analysis of Hybrid Deep Learning Models for Electricity Load Forecasting During Extreme Weather by Altan Unlu, Malaquias Peña

“…Case Study 1 conducts CNN-Recurrent (RNN, LSTM, GRU, BiRNN, BiGRU, and BiLSTM) models with fully connected dense layers, which combine convolution and recurrent neural networks to capture both spatial and temporal dependencies in the data. Case Study 2 evaluates Hybrid CNN-Recurrent models with a fully connected dense layer model that incorporates a flattening step before the recurrent layers to increase the temporal learning process. …”
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Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach by Przemysław Sekuła, Narjes Shayesteh, Qinglian He, Sara Zahedian, Rodrigo Moscoso, Michał Cholewa

“…This study was carried out for The Federal Highway Administration in cooperation with ten State Highway agencies that provided the data (video recordings). This paper describes an outline of the system that was invented, developed, and applied to determine Move Over law compliance, as well as the initial analysis of the impact of various factors on compliance. …”
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Digital Game-Based Learning Innovation in Higher Education: Bibliometric Analysis and Recommendations for Future Research by Rohmani, I Wayan Distrik, Herpratiwi, Dina Maulina

“…The method used is bibliometric analysis, data sourced from the Scopus.com database, which is then analyzed using Zotero and VOSviewer software. …”
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DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis by Shufeng Xiong, Yibo Si, Guipei Zhang, Bingkun Wang, Guang Zheng, Haiping Si

“…Sentiment structure analysis in Chinese text typically relies on supervised deep-learning methods for sequence labeling. …”
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