CAN-STRESS: A Real-World Multimodal Dataset for Understanding Cannabis Use, Stress, and Physiological Responses

Documenti analoghi

• CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments
  di: Azghan, Reza Rahimi, et al.
  Pubblicazione: (2024)
• AZT1D: A Real-World Dataset for Type 1 Diabetes
  di: Khamesian, Saman, et al.
  Pubblicazione: (2025)
• Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes
  di: Metwally, Ahmed A., et al.
  Pubblicazione: (2025)
• Sleep Disorder Diagnosis Using EEG Signals and LSTM Deep Learning Method
  di: Yousefi, Mohammad Reza, et al.
  Pubblicazione: (2025)
• Understanding the development of bacterial colony: Physiology, new technology, and modeling
  di: Jingwen Zhu, et al.
  Pubblicazione: (2025)