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Adaptive Object Distance Monitoring in Disaster and Crisis Scenarios via YOLOv9 with Monocular Depth Estimation

Situational awareness (SA) is required by the first responders to act swiftly and with accuracy in response to a disaster and crisis situation, where the dynamic nature of the environment, damaged infrastructure and visibility can severely impair the decision-making process. The existing technologies in disaster monito...

FruitNetSH: An Efficient Deep Learning Model for Precision Pomegranate Disease Diagnosis

The most important thing in minimizing crop losses and maximizing crop yields is accurate and timely diagnosis of diseases in pomegranate fruit. Though the recent deep learning methods have demonstrated encouraging results, issues like field noise, variability in illumination, complexity of the background, and similari...

SE-DHPPM: A Secure and Explainable Deep Hybrid Privacy-Preserving Model for Edge Intelligence

Edge Intelligence has emerged as a promising paradigm to facilitate real-time decision making in healthcare, Internet of Things (IoT) and intelligent surveillance applications. However, the issue of data privacy, secure communication, model interpretability, and low latency computation of computation in heterogeneous e...

Detection of DDoS Attacks in LoRaWAN-based IoT Networks using Isolation Forest