Recent Submissions
A smartphone accelerometer data-driven approach to recognize activities of daily life: a comparative study
Smartphones have become an indispensable part of our everyday life, influencing various aspects of our routines, from wake-up alarms to managing daily life activities. Nowadays, almost every smartphone has a built-in accelerometer sensor...
Normalized effect size (NES): a novel feature selection model for Urdu fake news classification
Social media has become an essential source of news for everyday users. However, the rise of fake news on social media has made it more difficult for users to trust the information on these platforms. Most research&#x...
Editorial: wearable and mobile data analysis methodologies for personalized medicine
No abstract available.
Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing
Every year, the percentage of people affected by cardiovascular diseases increases drastically. Out of them, a heart attack is the most prominent and painful disease. According to the World Health Organization, approximately 17.5 mi...