Prediction of Different Types of Mobile Phone Prices based on Machine Learning Models
Highlights in Science, Engineering and Technology. 2024;92:275-279 
A machine learning based robust prediction model for real-life mobile phone data
Internet of Things. 2019;5:180-193
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
The Computer Journal. 2022;66(6):1541-1548
Depression screening using mobile phone usage metadata: a machine learning approach
Journal of the American Medical Informatics Association. 2020;27(4):522-530
Prediction of Mobile Phone Prices using Machine Learning
2024 9th International Conference on Machine Learning Technologies (ICMLT). 2024;6-10
Comparison of Prediction Performance of Lithium Titanate Oxide Battery Discharge Capacity with Machine Learning Methods
. 2023;
Machine Learning-Based Battery State of Health Prediction Using Discharge Voltage
2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). 2025;1-9
Mobile phone usage for m‐learning: comparing heavy and light mobile phone users
Campus-Wide Information Systems. 2007;24(5):355-365
Machine learning models in Heart Rate Variability based mental fatigue prediction: training on heterogeneous data to obtain robust models
. 2022;
Mobile Phone Usage and its health impacts
Pakistan Journal of Health Sciences. 2021;02-02