S. Pradhan

An Explainable Deep Transfer Learning for Multi-Class Aerial Vehicle Classification Using Fine-Tuned ResNet50 with Grad-CAM

Aerial object classification for intelligent surveillance, airspace monitoring and autonomous security systems is essential but challenging because of the diversity in scale, background complexity and visual similarities among aerial objects. In this paper, a fine-tuned ResNet50 based deep learning system is proposed w...

An Attention-Guided YOLO11 Framework for Multi-Class Student Engagement Detection in Smart Classrooms

IoT-enabled smart home activity classification using BiLSTM and attention mechanisms

IoT-enabled smart homes require accurate activity classification to enhance safety, healthcare monitoring, and energy efficiency through continuous sensing and intelligent interpretation of human behavior. Common approaches employ wearable or ambient sensors, signal preprocessing, feature extraction, and deep learning...

An IoT-based Water Quality Monitoring System using a Hybrid 1D-CNN–BiLSTM Model with Attention Mechanism

Water quality monitoring is very important in ensuring public safety and sustainability of aquatic ecosystems. However, traditional approaches used in monitoring water quality are not suitable for monitoring purposes due to lack of capability of continuously assessing water quality and rapidly detecting pollution. To s...