Deep learning-based prediction of autoimmune diseases by Donghong Yang, Xin Peng, Senlin Zheng, Shenglan Peng

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Learning exactly linearizable deep dynamics models by Ryuta Moriyasu, Masayuki Kusunoki, Kenji Kashima

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Application of federated learning in predicting breast cancer by Chai Jiarui

“…This paper proposes a breast cancer prediction model combined with federated learning, where each participant trains the model locally using multimodal data such as imaging, genes, and treatment history. …”
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Applying adaptive learning principles for the e-studies by Dalia Baziukaitė, Andrius Bielskis, Olegas Ramašauskas

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Explore Machine Learning's Prediction of Football Games by Pan Bomao

“…To achieve this goal, this paper employs a variety of machine learning models, including Random Forest, support vector classifiers (SVC), and Logistic Regression, and conducts in-depth analysis of the data. …”
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Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

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Joyful Encounters: Learning to Play Well with Machines by Sandry Eleanor, Peaty Gwyneth

“…In rethinking the value of play, this paper emphasizes how people’s time spent interacting, whether with video games or robots, provides opportunities for them to learn more about themselves and others.…”
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Kurdish Language Learning Tool in Serious Game by Gulala Ali Hama Amin, Karzan Hussein Sharif

“…The application designed for android devices, enables users to learn and improve the Kurdish language. The application is also suitable for foreign people who desire to learn the Kurdish language. …”
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Using Cooperative Learning in Formal and Nonformal Education by Katy J. Groseta, Brian E. Myers

“…AEC 381/WC062: Using Cooperative Learning in Formal and Nonformal Education (ufl.edu) …”
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Enhancing of teaching and learning through constructive alignment by G. E. Dames

“… This article elucidates issues about practical knowledge/deep learning on the current teaching and learning preaching practices in the Department of Practical Theology at the Faculty of Theology of the University of the Free State. …”
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Using Cooperative Learning in Formal and Nonformal Education by Katy J. Groseta, Brian E. Myers

“…AEC 381/WC062: Using Cooperative Learning in Formal and Nonformal Education (ufl.edu) …”
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Informational architectures of asynchronous and synchronous learning models by Lina Jarmuškaitė, Regina Kulvietienė, Irma Šileikienė

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Analyzing the Application of Machine Learning in Anemia Prediction by Li Yuxi

“…This paper explores the applications of machine learning in the prediction of anemia, highlighting its potential to revolutionize clinical diagnosis and management. …”
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Use of direct practice as an active learning innovation by Aliyyah Chantika, Novy Fitria Wahyuni, Sandy Salim Alamsyah, Tegar Rifai

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Wind and Trees: Lessons Learned from Hurricanes by Mary L. Duryea, Eliana Kampf

“…FOR118/FR173: Wind and Trees: Lessons Learned from Hurricanes (ufl.edu) …”
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Student Adaptation to Digital Assessment in Online Learning by Daniel Domínguez, Inés Gil-Jaurena

“…We surveyed students at a distance learning university at the end of two academic years during which a new online exam system was implemented. …”
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Impact of using podcasts on students learning motivation by Irmadel Aurelliana, Syifa Syahfiana Nugraha

Subjects: “…distance learning…”
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A survey of security threats in federated learning by Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu

Subjects: “…Federated learning…”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…In order to improve detection accuracy and generalization, this research suggests a deep learning-based detection model that combines the Long Short-Term Memory (LSTM) network architecture with Convolutional Neural Networks (CNN). …”
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PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION by Ifeanyi Isaiah Achi, Chukwuemeka Odi Agwu, Christopher Chizoba Nnamene, Sylvester C. Aniobi, Ifebude Barnabas C., Kelechi Christian Oketa, Godson Kenechukwu Ezeh, John Otozi Ugah

Subjects: “…Machine Learning…”
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