A Multiphysics Dataset Generation Procedure for the Data-Driven Modeling of Traction Electric Motors by Simone Ferrari, Luigi Solimene, Riccardo Torchio, Costanza Anerdi, Fabio Freschi, Luca Giaccone, Gianmarco Lorenti, Francesco Lucchini, Piergiorgio Alotto, Gianmario Pellegrino, Maurizio Repetto

Subjects: “…Data-driven techniques…”
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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

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Bioinformatic challenges for pharmacogenomic study: tools for genomic data analysis by Mariamena Arbitrio, Marianna Milano, Maria Lucibello, Emanuela Altomare, Nicoletta Staropoli, Nicoletta Staropoli, Pierfrancesco Tassone, Pierfrancesco Tassone, Pierosandro Tagliaferri, Pierosandro Tagliaferri, Mario Cannataro, Giuseppe Agapito

“…In this review, starting from our experience in PGx studies performed by DMET microarray platform, we propose a guideline combining machine learning, statistical, and network-based approaches to simplify and better understand complex DMET PGx data analysis which can be adapted for broader PGx applications, fostering accessibility to high-performance bioinformatics, also for non-specialists. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…By integrating wavelet-based feature extraction with machine learning-driven analysis, this approach enhances the ability to detect complex wave propagation patterns, leading to more precise subsurface modeling. …”
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Estimation of Reference Crop Evapotranspiration in the Yellow River Basin Based on Machine Learning and Its Regional and Drought Adaptability Analysis by Jun Zhao, Huayu Zhong, Congfeng Wang

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Analysis of STEM Approaches through Distance Learning by Yoana Nurul Asri, Desta Sulaesih Mursyidah, Vini Rizqi

“…This research is about the analysis of STEM approaches carried out during Distance Learning (PJJ) in the field of electricity. …”
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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…This study presents a comparative analysis of machine learning (ML) and deep learning (DL) models for the early prediction of ovarian cancer using clinical and biomarker data. …”
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The Implementation of Contrastive Analysis-Based Arabic Learning by Raswan Raswan

“…Method of this study covers finding data and sources related to the contrastive analysis in Arabic learning; analyzing the data as well as the sources; and drawing conclusion. …”
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Application of machine learning algorithms in economic analysis by Mohammad Sadegh SALEM

“…This article explores the application of machine learning algorithms in economic sciences, focusing on data analysis, forecasting, and risk management. …”
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Hybrid Deep Learning Models for Sentiment Analysis by Cach N. Dang, María N. Moreno-García, Fernando De la Prieta

“…The hybrid models increased the accuracy for sentiment analysis compared with single models on all types of datasets, especially the combination of deep learning models with SVM. …”
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A data-driven impact-based analysis stemming from first responders reports to predict wind damage to urban trees by Irene Garcia-Marti, Jouke H. S. de Baar, Jan Willem Noteboom, Rob Sluijter, Gerard van der Schrier

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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

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Deep learning for quantitative dynamic fragmentation analysis by Erwin Cazares, Brian E. Schuster

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Chinchorro culture: An analysis from the learning perspective by Liliana Pedraja-Rejas, Emilio Rodríguez-Ponce, Camila Muñoz-Fritis, Miguel-Ángel Garrido-Tamayo, Javier Vélez, David Laroze

“…This study aims to identify trends in scientific production in the Chinchorro culture from the view of learning. With this aim, a bibliometric and content analysis of the journal articles indexed to the Web of Science database and Scopus on this topic (through September 2023) was carried out. …”
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Unsupervised learning analysis on the proteomes of Zika virus by Edgar E. Lara-Ramírez, Gildardo Rivera, Amanda Alejandra Oliva-Hernández, Virgilio Bocanegra-Garcia, Jesús Adrián López, Xianwu Guo

“…Unsupervised learning (UL), a form of machine learning algorithm, can be applied on the datasets without the need of known information for training. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

Subjects: “…Multimodal sentiment analysis…”
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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

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Software analysis of scientific texts: comparative study of distributed computing frameworks by Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev

Subjects: “…text analysis…”
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Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Initially, this approach prepares and pre-processes data through various augmentation methods to increase the dataset size. …”
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Harnessing Multi-Modal Synergy: A Systematic Framework for Disaster Loss Consistency Analysis and Emergency Response by Siqing Shan, Jingyu Su, Junze Li, Yinong Li, Zhongbao Zhou

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