[HTML][HTML] Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency
Medical imaging plays an essential role in modern healthcare, providing non-invasive tools
for diagnosing and monitoring various medical conditions. However, the resolution …
for diagnosing and monitoring various medical conditions. However, the resolution …
[HTML][HTML] Advanced Object Detection for Maritime Fire Safety
In this study, we propose an advanced object detection model for fire and smoke detection in
maritime environments, leveraging the DETR (Detection with Transformers) framework. To …
maritime environments, leveraging the DETR (Detection with Transformers) framework. To …
[HTML][HTML] Drone-Based Wildfire Detection with Multi-Sensor Integration
Wildfires pose a severe threat to ecological systems, human life, and infrastructure, making
early detection critical for timely intervention. Traditional fire detection systems rely heavily …
early detection critical for timely intervention. Traditional fire detection systems rely heavily …
[HTML][HTML] Develo** a Hybrid Approach with Whale Optimization and Deep Convolutional Neural Networks for Enhancing Security in Smart Home Environments' …
KR Jothi, B Vaithiyanathan - Sustainability, 2024 - mdpi.com
Even while living circumstances and construction techniques have generally improved,
occupants of these spaces frequently feel unsatisfied with the sense of security they provide …
occupants of these spaces frequently feel unsatisfied with the sense of security they provide …
An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection.
Globally, fire incidents cause significant social, economic, and environmental destruction,
making early detection and rapid response essential for minimizing such devastation. While …
making early detection and rapid response essential for minimizing such devastation. While …