Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques by Esteban Olivares, Michel Curé, Ignacio Araya, Ernesto Fabregas, Catalina Arcos, Natalia Machuca, Gonzalo Farias

Subjects: “…data analysis…”
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Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis by Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah

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Advancing Knowledge on Machine Learning Algorithms for Predicting Childhood Vaccination Defaulters in Ghana: A Comparative Performance Analysis by Eliezer Ofori Odei-Lartey, Stephaney Gyaase, Dominic Asamoah, Thomas Gyan, Kwaku Poku Asante, Michael Asante

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Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data by Burcu Bakir-Gungor, Nur Sebnem Ersoz, Malik Yousef

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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

Subjects: “…runoff forecasting|data-scarce regions|shap interpretable machine learning analysis|ipso-cnn-bigru-attention model|prediction accuracy…”
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Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data by Yuyang Yan, Wafaa Aljbawi, Sami O. Simons, Visara Urovi

“…Methods: We develop a deep learning model to identify COVID-19 from voice recording data. …”
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Construction and application of gold price prediction model based on historical data by Xing Xuexia, Yan Qingqing, Wang Yutong

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Analysis of urban environmental comfort using Landsat-8 multitemporal data and Artificial Neural Network by Nurwita Mustika Sari, Dony Kushardono, Mukhoriyah Mukhoriyah, Kustiyo Kustiyo, Masita Dwi Mandini Manessa

“…In the future, this research can provide input for similar research, especially in the use of deep learning Artificial Neural Network methods for environmental analysis.…”
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Automated methane emission monitoring systems based on satellite data: Radiation transfer model analysis by K. Aghayeva, G. Krauklit

“…The study aimed to assess the accuracy of automated methane emission monitoring systems at oil and gas fields in Azerbaijan using satellite data and a radiation transfer model. The methodology included analysing Sentinel-5P and GHGSat satellite data for 2024, applying MODTRAN and SCIATRAN models to incorporate atmospheric factors, and validating the results with ground measurements using Los Gatos Research spectrometers and Picarro G2401 gas analysers. …”
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A Comparative Study of Advanced Transformer Learning Frameworks for Water Potability Analysis Using Physicochemical Parameters by Enes Algül, Saadin Oyucu, Onur Polat, Hüseyin Çelik, Süleyman Ekşi, Faruk Kurker, Ahmet Aksoz

“…This paper presents a comparative analysis of four transformer-based deep learning models in the development of automatic classification systems for water potability based on physicochemical attributes. …”
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A data-driven analysis of emergency first responder education on substance use and stress management across demographic and professional backgrounds by Francine R. Vega, Audrey Lopez, Vicky Beakley, A. Sarah Cohen, Tiffany Champagne-Langabeer

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Principal Component Analysis for Geochemical Data Analysis and Chemical Elements Associations of Prospective Kolumbe Area (Kema Terrain, Sikhote-Alin Folded Belt) by Shevyrev Sergei, Boriskina Natal'ya, Ivin Vitaliy

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An Advanced Deep Learning Model for Identifying Blue Horizontal-branch Stars from LAMOST DR10 by Yuhang Zhang, Yude Bu, Jiangchuan Zhang, Ke Wang, Huili Wu, Mengmeng Zhang, Shanshan Li, Jingzhen Sun, Xiaoming Kong, Zhenping Yi, Meng Liu

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Comparison and Optimization of Generalized Stamping Machine Fault Diagnosis Models Using Various Transfer Learning Methodologies by Po-Wen Hwang, Yuan-Jen Chang, Hsieh-Chih Tsai, Yu-Ta Tu, Hung-Pin Yang

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Same data, different results? Machine learning approaches in bioacoustics by Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart

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Pretreatment Methods for Enhancing Machine Learning Performance on Metabolomics Data by Rustam

“…Pretreatment methods are critical for metabolomics data analysis, yet their impact on machine learning performance remains insufficiently explored. …”
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Curriculum, Pedagogy, and Teaching/Learning Strategies in Data Science Education by Cecilia Avila-Garzon, Jorge Bacca-Acosta

“…This paper aims to report a bibliometric analysis focused on the pedagogical aspects and teaching/learning strategies employed in data science curriculum design, emphasizing contributions from key authors, publication sources, affiliations, content, and cited documents. …”
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Machine Learning untuk Prediksi Kegagalan Mesin dalam Predictive Maintenance System by Nisa'ul Hafidhoh, Ardian Prima Atmaja, Gus Nanang Syaifuddiin, Ikhwan Baidlowi Sumafta, Salva Mahardhika Pratama, Hafsah Nur Khasanah

Subjects: “…crisp-dm, exploratory data analysis, kegagalan mesin, machine learning, predictive maintenance system…”
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Novel Deep Learning-Based Facial Forgery Detection for Effective Biometric Recognition by Hansoo Kim

“…This study presents a novel deep learning framework optimized for texture analysis to detect facial forgeries effectively. …”
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Visual analysis of multi-subject association patterns in high-dimensional time-varying student performance data by Lianen Ji, Ziyi Wang, Shirong Qiu, Guang Yang, Sufang Zhang

“…Finally, we conduct a case study using real student performance data to verify the applicability and effectiveness of MAPVis.…”
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