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Dipesh Kadariya

Showing results (1-10 of 4) with videos related to

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JMIR Pediatrics and Parenting|April 23, 2019
"How Is My Child's Asthma?" Digital Phenotype and Actionable Insights for Pediatric AsthmaUtkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, et al.
Proceedings of ... International Conference on Smart Computing (SMARTCOMP). International Conference on Smart Computing|August 25, 2020
kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-ManagementDipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, et al.
JMIR Pediatrics and Parenting|September 14, 2019
Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational StudyRevathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, et al.
Sensors (Basel, Switzerland)|September 2, 2020
Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom UseWilliam L Romine, Noah L Schroeder, Josephine Graft, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
JMIR Pediatrics and Parenting|April 23, 2019
"How Is My Child's Asthma?" Digital Phenotype and Actionable Insights for Pediatric AsthmaUtkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, et al.
Proceedings of ... International Conference on Smart Computing (SMARTCOMP). International Conference on Smart Computing|August 25, 2020
kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-ManagementDipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, et al.
JMIR Pediatrics and Parenting|September 14, 2019
Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational StudyRevathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, et al.
Sensors (Basel, Switzerland)|September 2, 2020
Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom UseWilliam L Romine, Noah L Schroeder, Josephine Graft, et al.
Pageof 1