Achieving high-accuracy skin cancer classification with deep learning optimized by ant colony algorithm by Amany M. Sarhan, Hesham A. Ali, Shady Yasser, Mohamed Gobara, Ahmed A. Kandil, Ghada Sherif, Esraa Moustafa

“…Recent advancements in deep learning have shown significant promise in medical image analysis, including skin cancer classification. …”
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Analysis of the methods of word sense disambiguation in the biomedical domain by A. V. Pashuk, A. B. Gurinovich, N. A. Volorova, A. P. Kuznetsov

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Can establishing the National Big Data Comprehensive Experimental Zone promote green low-carbon development? Evidence from China by Yushan Yao, Zhe Wang, Shanshan Cao

“…The rapid development of digital economy provides necessary technical support for green and low-carbon transformation, and it is of great significance to explore the impact of digital economy on green and low-carbon development for the sustainable development of the economy and society. Balanced panel data of 30 provinces and cities from 2005 to 2021 are used to construct a dual machine learning model for empirical analysis. …”
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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

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Artificial Vision Systems for Mobility Impairment Detection: Integrating Synthetic Data, Ethical Considerations, and Real-World Applications by Santiago Felipe Luna-Romero, Mauren Abreu de Souza, Luis Serpa Andrade

“…Moreover, ethical and privacy concerns related to the handling of sensitive visual data remain insufficiently addressed, highlighting the need for robust privacy safeguards, transparent data governance, and effective bias mitigation protocols. …”
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Spatio-Temporal neighbors adaptive learning with two-point differences for ocean subsurface temperature reconstruction from 1960 to 2022 by An Wang, Hua Su

“…The sparse in situ observations in the pre-Argo era hinder the reconstruction of long-time series observational data for the global ocean. This study proposes a novel Adaptive Spatio-TEmporal Neighbors with two-point differences (ASTEN) method for subsurface temperature reconstruction, which adaptively learns and adjusts spatio-temporal neighbors depending on the distribution of in situ observations to ensure robust gaps-filling performance across four dimensions. …”
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Synthesis of electric vehicle charging data: A real-world data-driven approach by Zhi Li, Zilin Bian, Zhibin Chen, Kaan Ozbay, Minghui Zhong

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Analysis and Identification of Factors Influencing the Survival of Burn Injury Patients with an Artificial Intelligence Approach by Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani

“…The results obtained from identified influential factors can assist data science researchers in the data understanding phase and can serve as a roadmap in collecting the initial dataset.…”
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Comparative analysis of different algorithms for VAS station land cover classification with limited training points by D. García-Rodríguez, A. Pérez-Hoyos, B. Martínez, Pablo Catret Ruber, J. Javier Samper-Zapater, E. López-Baeza, J.J. Martínez Durá

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Instructional Design Models for Pervasive Learning Environment: Bridging Formal and Informal Learning in Collaborative Social Learning by I Kadek Suartama, I Nyoman Yasa, Eges Triwahyuni

“…Subsequently, descriptive statistical analysis was used in analyzing the obtained data from the validation process. …”
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy by Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill

“…Abstract This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

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“Learning to Learn” – A workshop-based approach for enhancing learning skills of the first-year medical undergraduates by DEEPIKA VELUSAMI, SOUNDARIYA KRISHNAMURTHY

“…Dennis-Congo’s studyskills inventory was administered before and readministered 10 months after the workshop. Quantitative data were analysed with Mean±SD, and a cluster analysis with frequency count was done for qualitative data.Results: Around 57% of the participants rated the workshop as “excellent”. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

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Analysis of Students’ Academic Performance using LMS Event Logs by Nikita D. Shaimov, Irina A. Lomazova, Alexey A. Mitsyuk, Ilya Yu. Samonenko

“…This paper proposes an approach that allows one to analyze such data and discover typical student trajectories that lead to successful or unsuccessful learning outcomes. …”
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Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples by Nizom Farmonov, Susanne Walden, Eric Martinée, Christian Lampei, Mona Schreiber, Lars Opgenoorth, Anjaharinony Andry Ny Aina Rakotomalala, Tobias Müller, Nina Farwig, Stefan Pinkert, Lucy Saueressig, Annabell Rosemarie Wagner, Robert R. Junker, Jochem Verrelst, Jörg Bendix

“…This study investigates the potential of spaceborne hyperspectral data from the Environmental Mapping and Analysis Program (EnMAP) for mapping key forest vegetation traits such as leaf area index (LAI), leaf chlorophyll content (Cab), leaf mass per area (LMA), specific leaf area (SLA), and leaf water content (Cw) as well as the rarely addressed leaf anthocyanin content (Canth) using a hybrid approach combining radiative transfer calculations and machine learning. …”
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Understanding the effectiveness and underlying mechanisms of lifestyle modification interventions in adults with learning disabilities: a mixed-methods systematic review by Dikshyanta Rana, Sophie Westrop, Nishant Jaiswal, Evi Germeni, Arlene McGarty, Louisa Ells, Phillippa Lally, Michael McEwan, Craig Melville, Leanne Harris, Olivia Wu

“…The goal of this project was to investigate the effectiveness and underlying mechanisms of lifestyle modification interventions in adults with learning disabilities. Methods A systematic review and meta-analysis were conducted to determine the effectiveness of lifestyle modification interventions and their components in targeting health risk behaviours in adults with learning disabilities. …”
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Dyslexia Analysis and Diagnosis Based on Eye Movement by R. Vaitheeshwari, Chih-Hsuan Chen, Chia-Ru Chung, Hsuan-Yu Yang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Mukul Kumar

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