1 citations · 1 across the 6 of their papers we have counts for
6 papers
Emotion Recognition in Older Adults with Quantum Machine Learning and Wearable Sensors
Md. Saif Hassan Onim, Travis S. Humble, Himanshu Thapliyal
We investigate the feasibility of inferring emotional states exclusively from physiological signals, thereby presenting a privacy-preserving alternative to conventional facial reco…
Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Md. Saif Hassan Onim, Andrew M. Kiselica, Himanshu Thapliyal
Emotion detection in older adults is crucial for understanding their cognitive and emotional well-being, especially in hospital and assisted living environments. In this work, we i…
Quantum-Hybrid Support Vector Machines for Anomaly Detection in Industrial Control Systems
Tyler Cultice, Md. Saif Hassan Onim, Annarita Giani +1
Sensitive data captured by Industrial Control Systems (ICS) play a large role in the safety and integrity of many critical infrastructures. Detection of anomalous or malicious data…
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
Md. Saif Hassan Onim, Himanshu Thapliyal
The widespread use of cloud-based medical devices and wearable sensors has made physiological data susceptible to tampering. These attacks can compromise the reliability of healthc…
Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults
Md Saif Hassan Onim, Travis S. Humble, Himanshu Thapliyal
Stress can increase the possibility of cognitive impairment and decrease the quality of life in older adults. Smart healthcare can deploy quantum machine learning to enable prevent…
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
Tyler Cultice, Md. Saif Hassan Onim, Annarita Giani +1
Cyber-physical control systems are critical infrastructures designed around highly responsive feedback loops that are measured and manipulated by hundreds of sensors and controller…