OpenAlex
metadata only
Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Domain-specific Internet use and social participation in older adults: the role of affective attitudes toward digital device use.#312406
- Comparative study of adapting pre-trained models for driving behavior video captioning#1144509
- Platform-based Mild Cognitive Impairment (MCI) Trial#869367
- Personalizing Mobile Apps for Health Behavioral Change According to Personality: Cross-Sectional Validation of a Preference Matrix.#125512
- Predicting problem gambling among online sports and race bettors: Assessing the value of machine learning using behavioural and self-reported data.#375392
Record · ID 200895
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive