7 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.SD2025★ 5 cited
Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML
Kong Ka Hing, Mehran Behjati
Hornbills, an iconic species of Malaysia's biodiversity, face threats from habi-tat loss, poaching, and environmental changes, necessitating accurate and real-time population monit…
eess.SP2025★ 6 cited
Advancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices
Huam Ming Ken, Mehran Behjati
The escalation of urban air pollution necessitates innovative solutions for real-time air quality monitoring and prediction. This paper introduces a novel TinyML-based system desig…
cs.CY2025★ 7 cited
Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances
Sara Yarham, Mehran Behjati
Monitoring air quality and environmental conditions is crucial for public health and effective urban planning. Current environmental monitoring approaches often rely on centralized…