Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data by Tian Xia, Lanju Zhou, Khalil Ahmad

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Machine learning based sucker rod pump fault diagnosis using motor power curve by Othman H. Ahmed, Samuel I. Tecle, Anatoliy A. Zyuzev, Vladimir P. Metelkov

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Facilitating Smooth Post-School Transition for Learners with Specific Learning Needs: Policy and Curriculum Recommendations by Nettie Nobukosi Ndou-Chikwena

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Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography by Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu

“…To exploit the discriminative features from the insufficient mammographic images, the authors learnt an encoder in the classification model to learn the invariable representations from the mammographic breast mass by Supervised Contrastive Learning (SCL) to weaken the side effect of colour jitter and illumination of mammographic breast mass on image quality degradation. …”
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Recognition of prior learning program in improving human resource in Bojonegoro district: an open government analysis by Siti Nur Alifa, Septi Wulandari, Cahya Lukita

“…This research aims to analyze open government by looking at the implementation of the Village Recognition of Prior Learning (RPL) program in Bojonegoro Regency through a process of collaboration, transparency, and participation. …”
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Application of Artificial Intelligence Virtual Image Technology in Photography Art Creation Under Deep Learning by Qiong Yao

Subjects: “…Deep learning…”
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Acceptance of virtual reality-based hadith learning model with technology acceptance model (TAM) approach by Muhammad Luthfi Hamzah, Ansharullah Ansharullah, Zetri Rahmat, M. Fahli Zatrahadi, Astri Ayu Purwati

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Advancing education through e-learning innovation: the case of the Crocodile Chemistry program in higher education by Nawal Alqallaf, Zahra Almahmeed, Ahmad Alsaber, Bedour Alboloushi, Anwaar Alkandari, Fatimah Alhashem

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Family adoption program (FAP) as a learning tool—perceptions of students and faculty of community medicine by Rajyalakshmi Chepuru, Kuppli Sai Sushma, Sarada Vadlamani, Rongala V. Manasa, Bodhi Srividya Vennam

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Crafting math minds: A bibliometric odyssey into innovative didactical designs for learning (2006-2023) by Dadan Dasari, Ilham Muhammad, Dadang Juandi

“…Didactical Design is essential in mathematics education because it can optimize learning. Efforts to design learning experiences that combine didactic and design principles can lead students to acquire knowledge correctly and epistemically. …”
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Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard by V. Steidl, J. L. Bamber, J. L. Bamber, X. X. Zhu, X. X. Zhu

“…In this study, we use deep learning paired with physical knowledge to generate ice thickness estimates for all glaciers of Spitsbergen, Barentsøya, and Edgeøya in Svalbard. …”
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FedWFC: Federated learning with weighted fuzzy clustering for handling heterogeneous data in MIoT networks by Le Sun, Shunqi Liu, Ghulam Muhammad

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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…Compared to traditional classification methods (Amati and energy–hardness–duration methods), the new approach demonstrates significant advantages in classification accuracy and robustness without relying on redshift observations. The deep learning classification strategy proposed in this paper provides a more reliable tool for future GRB research.…”
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Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke by Jiangping Ma, Yuanjie Xie

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Mathematics learning for school readiness of kindergarteners in the western rural area of china – taking county s as an example by Min Li, Xiaoping Yang

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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

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A deep learning analysis for dual healthcare system users and risk of opioid use disorder by Ying Yin, Elizabeth Workman, Phillip Ma, Yan Cheng, Yijun Shao, Joseph L. Goulet, Friedhelm Sandbrink, Cynthia Brandt, Christopher Spevak, Jacob T. Kean, William Becker, Alexander Libin, Nawar Shara, Helen M. Sheriff, Jorie Butler, Rajeev M. Agrawal, Joel Kupersmith, Qing Zeng-Trietler

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Retracted: Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Journal of Mathematics

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The Effect of STEM-Based Biology Learning on Thinking Skills Student Criticism of Environmental Pollution Material by Wina Ardini, Wahidin, Samuel Agus Triyanto

Subjects: “…learning…”
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