1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CY2026
Power Consumption Patterns Using Telemetry Data
Harry Cheon, Yuyang Pang, Zhiting Hu +4
This paper examines the analysis of package power consumption using Intel's telemetry data. It challenges the prevailing belief that hardware choice is the primary determinant of a…
q-bio.OT2025
Evidence for strong modality-dependence of chronotype assessment from real world calendar app data
Sourabh Gapate, Royan Kamyar, Benjamin Smarr
Chronotypes allow for comparisons of one individual's daily rhythms to that of others and the environment. Mismatch between an individual's chronotype and the timing constraints of…
q-bio.OT2024★ 1 cited
Automated Chronotyping from a Daily Calendar using Machine Learning
Pratiik Kaushik, Koorosh Askari, Saksham Gupta +4
Chronotype compares individuals' circadian phase to others. It contextualizes mental health risk assessments and detection of social jet lag, which can hamper mental health and cog…