[HTML][HTML] IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey
M Alshamrani - Journal of King Saud University-Computer and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) and artificial intelligence (AI) are two of the fastest-
growing technologies in the world. With more people moving to cities, the concept of a smart …
growing technologies in the world. With more people moving to cities, the concept of a smart …
Video super-resolution based on deep learning: a comprehensive survey
Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …
ones. Recently, the VSR methods based on deep neural networks have made great …
Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection
As a new earth observation tool, satellite video has been widely used in remote-sensing
field for dynamic analysis. Video super-resolution (VSR) technique has thus attracted …
field for dynamic analysis. Video super-resolution (VSR) technique has thus attracted …
The effects of super-resolution on object detection performance in satellite imagery
J Shermeyer, A Van Etten - … of the IEEE/CVF Conference on …, 2019 - openaccess.thecvf.com
We explore the application of super-resolution techniques to satellite imagery, and the
effects of these techniques on object detection algorithm performance. Specifically, we …
effects of these techniques on object detection algorithm performance. Specifically, we …
Survey of deep-learning approaches for remote sensing observation enhancement
Deep Learning, and Deep Neural Networks in particular, have established themselves as
the new norm in signal and data processing, achieving state-of-the-art performance in …
the new norm in signal and data processing, achieving state-of-the-art performance in …
RRSGAN: Reference-based super-resolution for remote sensing image
Remote sensing image super-resolution (SR) plays an important role by supplementing the
lack of original high-resolution (HR) images in the study scenarios of large spatial areas or …
lack of original high-resolution (HR) images in the study scenarios of large spatial areas or …
UAV and machine learning based refinement of a satellite-driven vegetation index for precision agriculture
Precision agriculture is considered to be a fundamental approach in pursuing a low-input,
high-efficiency, and sustainable kind of agriculture when performing site-specific …
high-efficiency, and sustainable kind of agriculture when performing site-specific …
Scene-adaptive remote sensing image super-resolution using a multiscale attention network
Remote sensing image super-resolution has always been a major research focus, and many
deep-learning-based algorithms have been proposed in recent years. However, since the …
deep-learning-based algorithms have been proposed in recent years. However, since the …
Deep distillation recursive network for remote sensing imagery super-resolution
Deep convolutional neural networks (CNNs) have been widely used and achieved state-of-
the-art performance in many image or video processing and analysis tasks. In particular, for …
the-art performance in many image or video processing and analysis tasks. In particular, for …