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EAI Endorsed Transactions on e-Learning, Volume 9
Volume 9, 2023
- Weiping Peng, Di Ma, Cheng Song, Daochen Cheng, Jiabao Liu:
A K-Anonymous Location Privacy-Preserving Scheme for Mobile Terminals. - A. Madhavi, A. Nagesh, A. Govardhan:
Efficient Course Recommendation using Deep Transformer based Ensembled Attention Model. - Jiayao Hu:
Microlearning helps Alzheimer's Disease Patients. - Panagiota Pouliou, Despoina Ourda, Vasileios Barkoukis, George Palamas:
Empowering Young Athletes: Elevating Anti-Doping Education with Virtual Reality. - Shengke Yang:
A review of research and development of semi-supervised learning strategies for medical image processing. - Hasan Demirelli, Yalçin Isler, Yilmaz Kemal Yüce:
Development and Perceived Usability Evaluation of a Mobile application for Notetaking. - Shengpei Ye:
Blended Learning for Machine Learning-based Image Classification. - Mengbo Xi:
A Review of Deep Learning Approaches for Early Diagnosis of Alzheimer's Disease. - Wenhao Tang, Junding Sun, Shuihua Wang, Yu-Dong Zhang:
Review of AlexNet for Medical Image Classification. - Haroon Altarawneh:
ChatGpt impact on Student Educational Performance: a conceptual analysis. - S. Suman Rajest, Rajan Regin, Ajitha Y, P. Paramasivan, G. Jerusha Angelene Christabel, Shynu T:
The Analysis of How Artificial Intelligence Has an Effect on Teachers and The Education System. - Meng Wu, Yangyang Hou
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Discrete Wavelet Analysis: A Mighty Approach for Image Segmentation. - Jing Wang:
Review of Graph Neural Networks for Medical Image. - Fanxi Wei, Yuan Ping, Wenhong Wu, Danping Niu, Yan Cao:
Controllable Privacy-Preserving Online Diagnosis with Outsourced SVM over Encrypted Medical Data. - Süleyman Eken:
Ethic wars: student and educator attitudes in the context of ChatGPT. - Zhiyi Wang:
Mobile Learning for COVID-19 Prevention. - Amit Kumar Gautam, Yogesh Kumar Yadav:
Key performance indicators-based monitoring, measuring progress and ranking of Aspirational Districts. - Feifei Zhou:
Deep learning-based lung nodule detection: a review. - Mengyao Zhao:
E-learning for Alzheimer's Disease. - Ting Zhao:
Use MOOC to learn image denoising techniques.
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last updated on 2024-12-17 20:49 CET by the dblp team
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