Learning strategies in nursing sciences: Analysis of gender disparities in a Moroccan educational context by K. Ait Moussa, S. Selmaoui, N. Ouzennou

“…This study examines gender differences in learning strategies among nursing students, considering Morocco's cultural specificities. …”
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Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy by Qingsong Chen, Tao Li, Tao Zhang, Yue Zhou, Weifeng Huang, Hui Li, Li Shi, Jianxiao Li, Qi Zhang, Man Ma, Pan Wang, Hui Hu, Gongbin Wei, Jiangxia Xiang, Yuan Cheng, Jun Yang, Guangbin Huang, Yongming Li, Dingyuan Du

“…This approach included principal component analysis, differential gene expression analysis using DESeq2, Gene Set Enrichment Analysis (GSEA), weighted gene co-expression network analysis (WGCNA), and machine learning (ML) algorithms (support vector machine-recursive feature elimination, least absolute shrinkage and selection operator, and random forest) for feature gene identification. …”
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Addressing data imbalance in collision risk prediction with active generative oversampling by Li Li, Xiaoliang Zhang

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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

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Advancements in natural language processing: Implications, challenges, and future directions by Supriyono, Aji Prasetya Wibawa, Suyono, Fachrul Kurniawan

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The Impact of Cloud Versus Local Infrastructure on Automatic IoT-Driven Hydroponic Systems by Cosmina-Mihaela Rosca, Adrian Stancu, Marian Popescu

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Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

Subjects: “…data analysis…”
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Artificial Intelligence in Advancing Algal Bioactive Ingredients: Production, Characterization, and Application by Bingbing Guo, Xingyu Lu, Xiaoyu Jiang, Xiao-Li Shen, Zihao Wei, Yifeng Zhang

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Discovering customer segments through interaction behaviors for home appliance business by Youngjung Suh

Subjects: “…Big data applications…”
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Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model by Jitendra Kumar Samriya, Amit Kumar, Ashok Bhansali, Meena Malik, Varsha Arya, Wadee Alhalabi, Bassma Saleh Alsulami, Brij B. Gupta

“…Further, to strengthen network privacy, blockchain technology has been integrated with federated learning. This work offers an experimental analysis of diverse sentiment data-driven fake recommendation datasets, evaluating performance using accuracy, precision, recall, and F-measure metrics. …”
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Real-Time Tracking of Diagnostic Discrepancies in Electronic Health Records for Improved Predictive Modeling by Elizabeth A. Trader, Varadraj P. Gurupur

“…By addressing the current lack of accessible diagnostic discrepancy data, the schema lays a foundation for more effective analysis, better patient outcomes, and improved use of machine learning in healthcare. …”
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BibexPy: Harmonizing the bibliometric symphony of Scopus and Web of Science by Burak Can Kara, Alperen Şahin, Taşkın Dirsehan

Subjects: “…Bibliometric analysis tools…”
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Validation of sentinel 2 based machine learning models for Czech National Forest Inventory by Richard Kovárník, Jitka Janová

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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

“…A rigorous preprocessing pipeline ensured data integrity, while exploratory data analysis (EDA) guided feature selection, ultimately retaining 20 key variables to capture complex interactions. …”
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Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning by Alireza Araghi, Andre Daccache

“…This study leverages satellite imagery and a gridded climate dataset (TerraClima) with machine learning (ML) to predict wheat yields in Mashhad County (Northeast Iran). …”
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Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning by José Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, Inês Santiago, Joana Ip, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Celso Matos, Nickolas Papanikolaou, ProCAncer-I

“…A leave-one-group-out (LOGO) CV analysis was performed with centres as groups to understand the effect of dataset-specific data. …”
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SE-TFF: Adaptive Tourism-Flow Forecasting Under Sparse and Heterogeneous Data via Multi-Scale SE-Net by Jinyuan Zhang, Tao Cui, Peng He

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Enhancing U-Net Segmentation Accuracy Through Comprehensive Data Preprocessing by Talshyn Sarsembayeva, Madina Mansurova, Assel Abdildayeva, Stepan Serebryakov

“…This work highlights the importance of preprocessing as a standalone step for optimizing deep learning-based medical image analysis.…”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…These models were trained and validated on a dataset of 329 data points, assessed through performance metrics and visualizations. …”
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InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data by Dor Tsur, Haim Permuter

“…These estimators make InfoMat a valuable tool for uncovering hidden patterns in data analytics applications, encompassing neuroscience, finance, communication systems, and machine learning. …”
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