3 papers
cs.SD2025
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
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.NI2025
Reliable and Cost-Efficient IoT Connectivity for Smart Agriculture: A Comparative Study of LPWAN, 5G, and Hybrid Connectivity Models
Mohamed Shabeer Mohamed Rafi, Mehran Behjati, Ahmad Sahban Rafsanjani
The integration of the Internet of Things (IoT) in smart agriculture has transformed farming practices by enabling real time monitoring, data-driven decision making, and automation…