Forest fire surveillance systems: A review of deep learning methods
This review aims to critically examine the existing state-of-the-art forest fire detection
systems that are based on deep learning methods. In general, forest fire incidences bring …
systems that are based on deep learning methods. In general, forest fire incidences bring …
A systematic review of object detection from images using deep learning
J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …
systems. Object detection is a challenging task because it involves many parameters …
Improved object detection method utilizing yolov7-tiny for unmanned aerial vehicle photographic imagery
In unmanned aerial vehicle photographs, object detection algorithms encounter challenges
in enhancing both speed and accuracy for objects of different sizes, primarily due to complex …
in enhancing both speed and accuracy for objects of different sizes, primarily due to complex …
Enhancing coal-gangue object detection using GAN-based data augmentation strategy with dual attention mechanism
Coal separation based on computer vision has attracted substantial attention in recent
years. However, developing reliable object detection models relies on large-scale annotated …
years. However, developing reliable object detection models relies on large-scale annotated …
A comprehensive review of the recent advancement in integrating deep learning with geographic information systems
A Raihan - Research Briefs on Information and Communication …, 2023 - rebicte.org
The integration of deep learning (DL) techniques with geographical information system (GIS)
offers a promising avenue for gaining novel insights into environmental phenomena by …
offers a promising avenue for gaining novel insights into environmental phenomena by …
State-of-the-Art deep learning methods for objects detection in remote sensing satellite images
Introduction: Object detection in remotely sensed satellite images is critical to socio-
economic, bio-physical, and environmental monitoring, necessary for the prevention of …
economic, bio-physical, and environmental monitoring, necessary for the prevention of …
Robust Object Detection in Challenging Weather Conditions
Object detection is crucial in diverse autonomous systems like surveillance, autonomous
driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic …
driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic …
[HTML][HTML] Deer survey from drone thermal imagery using enhanced faster R-CNN based on ResNets and FPN
Deer surveys play an important role in the estimation of local ecological balance. In the
Chitwan National Park of Nepal, the dense tree canopies and tall vegetation often obscure …
Chitwan National Park of Nepal, the dense tree canopies and tall vegetation often obscure …
Multifractal analysis of mass function
C Qiang, Z Li, Y Deng - Soft Computing, 2023 - Springer
In order to explore the fractal characteristic in Dempster–Shafer evidence theory, a fractal
dimension of mass function is proposed recently, to reveal the invariance of scale of belief …
dimension of mass function is proposed recently, to reveal the invariance of scale of belief …
Deep learning-enhanced numerical simulation of ground penetrating radar and image detection of road cracks
Aiming at the requirements of nondestructive testing and intelligent recognition of cracks
inside the pavement structures, a ground penetrating radar (GPR) detection and automatic …
inside the pavement structures, a ground penetrating radar (GPR) detection and automatic …