Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …
performance. However, the majority of applications that require object detection are …
A survey of emergencies management systems in smart cities
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …
interact with each other. As most people now live in urban areas, cities are experiencing …
Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
Visual scene understanding is the core task in making any crucial decision in any computer
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
Wildland fire detection and monitoring using a drone-collected RGB/IR image dataset
Current forest monitoring technologies including satellite remote sensing, manned/piloted
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …
[HTML][HTML] A review on object detection in unmanned aerial vehicle surveillance
A Ramachandran, AK Sangaiah - International Journal of Cognitive …, 2021 - Elsevier
Purpose Computer vision in drones has gained a lot of attention from artificial intelligence
researchers. Providing intelligence to drones will resolve many real-time problems …
researchers. Providing intelligence to drones will resolve many real-time problems …
Attention-gate-based encoder–decoder network for automatical building extraction
Rapidly developing remote sensing technology provides massive data for urban planning,
mapping, and disaster management. As a carrier of human productive activities, buildings …
mapping, and disaster management. As a carrier of human productive activities, buildings …
[HTML][HTML] Application of artificial intelligence in green building concept for energy auditing using drone technology under different environmental conditions
Thermal losses through weak building envelope is responsible for global current energy
crises. Application of artificial intelligence and drone setups in green buildings can help in …
crises. Application of artificial intelligence and drone setups in green buildings can help in …
Deep convolutional neural networks architecture for an efficient emergency vehicle classification in real-time traffic monitoring
A Kherraki, R El Ouazzani - IAES International Journal of …, 2022 - search.proquest.com
Nowadays, intelligent transportation system (ITS) has become one of the most popular
subjects of scientific research. ITS provides innovative services to traffic monitoring. The …
subjects of scientific research. ITS provides innovative services to traffic monitoring. The …
[HTML][HTML] Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study
NM AbdelAziz, KA Eldrandaly… - … in Management and …, 2024 - dmame-journal.org
This study proposes a two-phase framework to enhance disaster management strategies for
flooding using Geographic Information System (GIS) and Internet of Things (IoT) real-time …
flooding using Geographic Information System (GIS) and Internet of Things (IoT) real-time …
[HTML][HTML] Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …