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Publication search results
found 912 matches
- 2024
- Ahmed Obeid, Roliana Binti Ibrahim, Ahmad Fadhil:
Extended Model of Expectation Confirmation Model to Examine Users' Continuous Intention Toward the Utilization of E-Learning Platforms. IEEE Access 12: 40752-40764 (2024) - Eli J. Draizen, John Readey, Cameron Mura, Philip E. Bourne:
Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinform. 25(1): 11 (2024) - Andrés Ovidio Restrepo Rodríguez, Maddyzeth Ariza Riaño, Paulo A. Gaona-García, Carlos Enrique Montenegro Marín:
Application of learning analytics for sequential patterns detection associated with moments of distraction in students in e-learning platforms. Comput. Appl. Eng. Educ. 32(1) (2024) - Ebuka Chinaechetam Nkoro, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim:
Detecting cyberthreats in Metaverse learning platforms using an explainable DNN. Internet Things 25: 101046 (2024) - Valentino Constantinou, Mark Hoffmann, Matthew Paterson, Ali Mezher, Brian Pak, Alexander Pertica, Emily Milne:
Leveraging Deep Learning for High-Resolution Optical Satellite Imagery From Low-Cost Small Satellite Platforms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6354-6365 (2024) - Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. IEEE Trans. Games 16(1): 51-63 (2024) - 2023
- Emrullah Yigit:
İnsan bilgisayar etkileşimi açısından bir eğitsel platformun tasarımı, geliştirilmesi ve öğrenme analitikleri kapsamında değerlendirilmesi (The design, development, and evaluation of an educational platform from the perspective of human-computer interaction and learning analytics). Gazi University, Turkey, 2023 - Ahmed E. Youssef, Kashif Saleem:
A Hybrid MCDM Approach for Evaluating Web-Based E-Learning Platforms. IEEE Access 11: 72436-72447 (2023) - Puppala Ramya, Ramya V, Babu Rao M:
E-waste management using hybrid optimization-enabled deep learning in IoT-cloud platform. Adv. Eng. Softw. 176: 103353 (2023) - Pejman Ebrahimi, Hakimeh Dustmohammadloo, Hosna Kabiri, Parisa Bouzari, Maria Fekete-Farkas:
Transformational Entrepreneurship and Digital Platforms: A Combination of ISM-MICMAC and Unsupervised Machine Learning Algorithms. Big Data Cogn. Comput. 7(2): 118 (2023) - R. Venkatesan, A. Sabari:
Deepsentimodels: A Novel Hybrid Deep Learning Model for an Effective Analysis of Ensembled Sentiments in E-Commerce and S-Commerce Platforms. Cybern. Syst. 54(4): 526-549 (2023) - Luis H. Cubillos, Thomas E. Augenstein, Rajiv Ranganathan, Chandramouli Krishnan:
Breaking the barriers to designing online experiments: A novel open-source platform for supporting procedural skill learning experiments. Comput. Biol. Medicine 154: 106627 (2023) - Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov:
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning. Comput. 12(1): 17 (2023) - Alexander Mikroyannidis, Maria A. Perifanou, Anastasios A. Economides:
Developing a Sustainable Online Platform for Language Learning across Europe. Comput. 12(7): 140 (2023) - Yiping Amy Song, Lingling Zhang, Liye Ma, Indranil Bose:
What shall I learn? Two-stage decision making under social influence on corporate E-learning platforms. Decis. Support Syst. 171: 113978 (2023) - Laurent Beaudoin, Loïca Avanthey:
How to help digital-native students to successfully take control of their learning: A return of 8 years of experience on a computer science e-learning platform in higher education. Educ. Inf. Technol. 28(5): 5421-5451 (2023) - Ashima Kukkar, Rajni Mohana, Aman Sharma, Anand Nayyar:
Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms. Educ. Inf. Technol. 28(8): 9655-9684 (2023) - Harshali Patil, Swapnil Undale:
Willingness of university students to continue using e-Learning platforms after compelled adoption of technology: Test of an extended UTAUT model. Educ. Inf. Technol. 28(11): 14943-14965 (2023) - Shani Evenstein Sigalov, Rafi Nachmias:
Investigating the potential of the semantic web for education: Exploring Wikidata as a learning platform. Educ. Inf. Technol. 28(10): 12565-12614 (2023) - Qiwei Han, Carolina Lucas, Emila Aguiar, Patrícia Macedo, Zhenze Wu:
Towards privacy-preserving digital marketing: an integrated framework for user modeling using deep learning on a data monetization platform. Electron. Commer. Res. 23(3): 1701-1730 (2023) - Shadi Abpeikar, Kathryn Kasmarik, Matt Garratt:
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms. Frontiers Neurorobotics 17 (2023) - Li Liao:
Artificial Intelligence-Based English Vocabulary Test Research on Cognitive Web Services Platforms: User Retrieval Behavior of English Mobile Learning. Int. J. e Collab. 19(2): 1-19 (2023) - Tian Xie:
Design of Automatic Education Classification Management System in Cognitive Web Services Platforms Using Machine Learning Techniques. Int. J. e Collab. 19(2): 1-19 (2023) - Wenyi Xu:
An Improved Computational Solution for Cloud-Enabled E-Learning Platforms Using a Deep Learning Technique. Int. J. e Collab. 19(1): 1-19 (2023) - Nibal Malkawi, Mahmoud Ali Rababah, Issam Al Dalaeen, Issam M. Ta'amneh, Abdallah El Omari, Ali Ata Alkhaldi, Khalid Ali Rababah:
Impediments of Using E-Learning Platforms for Teaching English: A Case Study in Jordan. Int. J. Emerg. Technol. Learn. 18(5): 95-113 (2023) - Zeyun Li:
Factors Influencing Students' Continuous Willingness to Use E-Learning Platforms in Higher Education. Int. J. Inf. Commun. Technol. Educ. 18(3): 1-11 (2023) - Febri Prasetya, Aprilla Fortuna, Agariadne Dwinggo Samala, Bayu Ramadhani Fajri, Fiki Efendi, Abel Nyamapfene:
Effectiveness of Distance Learning Computer Numerical Control Based on Virtual Laboratory Using a Metaverse Platform to Improve Students' Cognitive Ability and Practice Skills. Int. J. Interact. Mob. Technol. 17(24): 4-21 (2023) - Hehua Mao:
Research on consumer satisfaction prediction of e-commerce social platforms based on deep transfer learning. Int. J. Netw. Virtual Organisations 29(3/4): 229-243 (2023) - A. Suki Antely, P. Jegatheeswari, M. Bibin Prasad, V. Vinolin, S. Vinusha, B. R. Rajakumar, D. Binu:
Sparse FCM-Based Map-Reduce Framework for Distributed Parallel Data Clustering in E-Khool Learning Platform. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31(1): 1-23 (2023) - Fatih Balaman, Muhammet Bas:
Perception of using e-learning platforms in the scope of the technology acceptance model (TAM): a scale development study. Interact. Learn. Environ. 31(8): 5395-5419 (2023)
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