Name
Affiliation
Papers
RAMIN FALLAHZADEH
Embedded and Pervasive Systems Laboratory, Washington State University, Pullman, WA, USA
17
Collaborators
Citations 
PageRank 
24
40
6.63
Referers 
Referees 
References 
75
574
238
Search Limit
100574
Title
Citations
PageRank
Year
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.00.342019
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach.00.342018
Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data.70.432017
Mobile sensing to improve medication adherence: demo abstract.00.342017
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract.00.342017
An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices.00.342017
Thyme: Improving Smartphone Prompt Timing Through Activity Awareness20.412017
Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition.10.352017
Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment.40.452017
Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications.00.342017
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables.50.462016
A Machine Learning Approach For Medication Adherence Monitoring Using Body-Worn Sensors00.342016
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors.80.492016
An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables.70.522016
CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors00.342016
Toward robust and platform-agnostic gait analysis20.372015
Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema40.452015