Balanced coarse-to-fine federated learning for noisy heterogeneous clients by Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang

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Map Floodwater Radar Imagery using Machine Learning Algorithms by Thanh-Nghi Doan, Duc-Ngoc Le-Thi

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Editorial: Affirmation? How to Learn to Live with ‘The Others’ Through Design by Enrique Nieto Fernández, Ester Gisbert Alemany

“…We will meet with disobedient ants, cultural management, invasive plants, ancestral knowledges, unstable amphibians, women’s communities, changing climates, Indigenous peoples, environments, and publics that—all together—design a ‘we’ that is always in formation, affecting the places where we work, the studios where we design, the classrooms where we learn, or the epistemologies from which we articulate our relationship with otherness. …”
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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Kubra Noor, Ubaida Fatima

Subjects: “…Meta-learning techniques…”
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Blood cancer prediction model based on deep learning technique by Amr I. Shehta, Mona Nasr, Alaa El Din M. El Ghazali

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Deep Transfer Learning for Biology Cross-Domain Image Classification by Chunfeng Guo, Bin Wei, Kun Yu

“…Inspired by the analysis of previous studies, the effect of biology cross-domain image classification in transfer learning is proposed. In this work, the multiple transfer learning scheme is designed to exploit deep transfer learning on several biology image datasets from different domains. …”
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The Student Perception of Assessment in the Teaching and Learning Process of Art Education by Bea Tomsic Amon

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Implementation of Arabic Online Learning at Post-Pandemic of Covid 19 by Aceng Rahmat, Mohammad Sarip, Khambali Khambali, Mohammed Alghali Khalil Yusuf

Subjects: “…Arabic Language Learning…”
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Learning models innovation in industrial revolution 4.0 era by Metsa Fajrianti Kusumah Suwandi, Muhammad Alfat

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Learning tasks as an assessment tool of competencies in organization of pedagogical practice by O. P. Kazakova

Subjects: “…learning task…”
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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RETRACTED: Using machine learning to forecast hard drive failures by Kodatsky Nikita, Revyakina Elena, Gazizov Andrei, Gunko Vitaliy

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Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms by Goro Fujiki, MD, Satoshi Kodera, MD, PhD, Naoto Setoguchi, MD, Kengo Tanabe, MD, PhD, Kotaro Miyaji, MD, PhD, Shunichi Kushida, MD, PhD, Mike Saji, MD, PhD, Mamoru Nanasato, MD, PhD, Hisataka Maki, MD, PhD, Hideo Fujita, MD, PhD, Nahoko Kato, MD, PhD, Hiroyuki Watanabe, MD, PhD, Minami Suzuki, MD, Masao Takahashi, MD, PhD, Naoko Sawada, MD, PhD, Jiro Ando, MD, Masataka Sato, MD, Shinnosuke Sawano, MD, PhD, Susumu Katsushika, MD, PhD, Hiroki Shinohara, MD, PhD, Norifumi Takeda, MD, PhD, Katsuhito Fujiu, MD, PhD, Hiroshi Akazawa, MD, PhD, Hiroyuki Morita, MD, PhD, Issei Komuro, MD, PhD

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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

“…We tested three machine learning (ML) models based on random forest (RF) models, generalised additive models (GAMs), and linear regression models (LMs). …”
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Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…In this study, we propose an efficient multilabel feature selection method to achieve scalable multilabel learning when the number of labels is large. The empirical experiments on several multilabel datasets show that the multilabel learning process can be boosted without deteriorating the discriminating power of the multilabel classifier.…”
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THEOLOGY AS A WAY OF LIFE. ON TEACHING AND LEARNING THE CHRISTIAN FAITH by M. Laubscher

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Emerging technologies and language learning: mining the past to transform the future by Hubbard Philip

“…Journal of China Computer-Assisted Language Learning…”
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Capnography troubleshooting: Lessons learned from laparoscopic hernia surgery by Sangeeta Dhanger, Ravindra Bhat, Kena Shah, P. Prawin Kumar

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Learning and elucidating the uncertainty in primary care by mapping uncertainty in medicine by Yuma Ohtsuka, Kazuoki Inoue, Daisuke Son, Shinichi Taniguchi

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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

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