Machine-learning crystal size distribution for volcanic stratigraphy correlation by Martin Jutzeler, Rebecca J. Carey, Yasin Dagasan, Andrew McNeill, Ray A. F. Cas

“…Here we present a novel technique based on machine learning identification of crystal size distribution to quantitatively fingerprint lavas, shallow intrusions and coarse lava breccias. …”
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Accidents in railway transportation: Lessons learned from Thailand and France by Sripathomswat Kanokporn, Promkamol Lattapon, Romruen Worachon, Arthaud Quentin, Drouin Alban

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Service Learning in Medical Education: Basic Approaches to Discipline Design by M. V. Prokhorova, O. R. Chepyuk, A. E. Mazanova, N. G. Briandinskaia, S. V. Nemirova

Subjects: “…service learning…”
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Ensemble Deep Learning Technique for Detecting MRI Brain Tumor by Rasool Fakhir Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla

“…As a result, this paper concentrated on the tasks of segmentation, feature extraction, classifier building, and classification into four categories using various machine learning algorithms. The authors used VGG-16, ResNet-50, and AlexNet models based on the transfer learning algorithm for three models to classify images as an ensemble model. …”
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Hand hygiene, its learning through the use of teaching aids by Zenia Tamara Sánchez García, Yuliett Mora Pérez, María de los Ángeles Villegas, Carmen Damilsy Sevajanes Pérez, Annia Iglesias Armenteros, Yuliemy Basso Mora

“…<p><strong>Background:</strong> improving hand hygiene in an effective and sustained way is achieved through the application of multiple measures to address different obstacles, as well as behavioral barriers, and then it is necessary to create teaching aids that allow their learning.<br /><strong>Objective:</strong> to design teaching aids that contribute to the learning of hand hygiene both in nursing students and in the community. …”
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Deep learning driven silicon wafer defect segmentation and classification by Rohan Ingle, Aniket K. Shahade, Mayur Gaikwad, Shruti Patil

Subjects: “…Wafer Defect Segmentation and classification using Deep Learning…”
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Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition by Anubha Sehgal, Shipra Saini, Hemkant Nehete, Kunal Kranti Das, Sourajeet Roy, Brajesh Kumar Kaushik

Subjects: “…Machine learning…”
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First Aid Learning for Targeted Rural Communities in Timor-Leste

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Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm by Ma Weijin, Zhang Lin, Zhang Jiping, Huang Bincheng, Luo Chaoyang

“…The manifold learning algorithm is a method of nonlinear data dimensionality reduction and can get available low dimensional geometry,it is also better reflects the nature of things. …”
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Novel Machine Learning-Based Brain Attention Detection Systems by Junbo Wang, Song-Kyoo Kim

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Unveiling the Complexity of Medical Imaging through Deep Learning Approaches by Javaid Iqbal Bhat, Novsheena Rasool

Subjects: “…deep learning…”
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Multi-channel based edge-learning graph convolutional network by Shuai YANG, Ruiqin WANG, Hui MA

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The Development of Math Learning Media: 3-Dimensional Snake and Ladder by Puji Asmaul Chusna, Isna Nurul Inayati, M. Jamal Hadi Santoso

“…This article is motivated by the lack of mathematics learning media at Islamic primary education, which has an impact on the low motivation of students to learn the subject. …”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

Subjects: “…federated learning…”
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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. …”
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JPEG steganalysis based on Tri-training semi-supervised learning by GUO Yan-qing 1, KONG Xiang-wei1, YOU Xin-gang1, HE De-quan1

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Learning from the use of media in community-led design projects by Alexiou K., Alevizou K., Zamenopoulos T., deSousa S., Dredge L.

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Climate-Aware Machine Learning for Above-Ground Biomass Estimation by Aske Meineche

“…This study explores the role of data science, machine learning, and artificial intelligence in addressing environmental challenges, specifically focusing on the estimation of Above-Ground Biomass (AGBM) using satellite imagery. …”
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Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning by Sung-Jung Wang, S. K. Jason Chang

“…However, autonomous buses must learn to navigate the city efficiently to be integrated into public transport systems. …”
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Online Supervised Learning with Distributed Features over Multiagent System by Xibin An, Bing He, Chen Hu, Bingqi Liu

“…Most current online distributed machine learning algorithms have been studied in a data-parallel architecture among agents in networks. …”
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