IMPLEMENTASI METODE MIND MAPPING PADA PEMBELAJARAN PENDIDIKAN TARIKH DI SMA MUHAMMADIYAH 5 YOGYAKARTA by M Fatwa Nurudin, Anisa Dwi Makrufi

Subjects: “…tarik education, learning, mind mapping…”
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Exploring benefits of a collaborative Scottish university-organization alternative credentials approach to re-skilling by Christopher J. M. Smith, Constantinos Choromides, Alicia Clyde, Fiona Stewart-Knight

Subjects: “…credit-rating of learning…”
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EXPERIENCE OF IMPLEMENTING THE DISTANCE E-COURSE “STATISTICAL METHODS IN PHARMACY” IN THE MATHEMATICAL TRAINING OF FUTURE PHARMACEUTICAL SPECIALISTS by Iryna Zhovtonizhko, Maryna Nessonova, Mariana Barannyk, Nadiia Sheykina, Olga Marchenko

Subjects: “…distance learning…”
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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

Subjects: “…Machine learning…”
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Optimal feedback control of dynamical systems via value-function approximation by Kunisch, Karl, Walter, Daniel

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Language learners’ surface, deep, and organizing approaches to ChatGPT-assisted language learning: What contextual, individual, and ChatGPT-related factors contribute? by Amir Reza Rahimi, Zahra Mosalli

Subjects: “…Artificial intelligence language learning (AILL)…”
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Learning from religion at a detraditionalizing Catholic university.... by Annemie Patyn, Joris Geldhof, Annemie Dillen

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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

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Additional Language Learning in Montessori settings: insights from the implementation process of a Second Language Programme in a Scottish Montessori school by Romali Rosales Chavarría

“… Very little has been published academically on language learning within Montessori education. This is a field that has grown and evolved from the ground as schools face the need to include additional language learning and develop bilingual programmes as part of their curricula. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

Subjects: “…Unsupervised contrastive learning…”
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STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery by Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen

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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation by Tristan Whitmarsh, Wei Cope, Julia Carmona-Bozo, Roido Manavaki, Stephen-John Sammut, Ramona Woitek, Elena Provenzano, Emma L. Brown, Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz

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Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models by Wang Yuxin

“…These findings underscore the significant potential of deep learning models, particularly GRU and Bidirectional LSTM, in improving the precision and reliability of network traffic predictions. …”
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Learning to Listen to Non-spoken Voices. Including Young People With Intellectual Disabilities Who are Non-speaking as Primary Participants in Qualitative Research by Beverley Samways, Pauline Heslop

“…The paper concludes with some brief learnings and reflections on the research journey. …”
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Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

“…The primary outcome was the mean area under the curve (AUC) of machine learning models in predicting the 1-year PFS.Results We analyzed 100,544 patches of pathological images from 78 patients. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

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