Early detection of diabetic retinopathy using PCA-firefly based deep learning model
Diabetic Retinopathy is a major cause of vision loss and blindness affecting millions of
people across the globe. Although there are established screening methods-fluorescein …
people across the globe. Although there are established screening methods-fluorescein …
Unmanned aerial vehicles for crowd monitoring and analysis
Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle
applications. From preventing stampede in high concentration crowds to estimating crowd …
applications. From preventing stampede in high concentration crowds to estimating crowd …
Diabetic retinopathy classification using hybrid deep learning approach
B Menaouer, Z Dermane, N El Houda Kebir… - SN Computer …, 2022 - Springer
During the recent years, diabetic retinopathy (DR) has been one of the most threatening
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …
Convolutional neural networks with intermediate loss for 3D super-resolution of CT and MRI scans
Computed Tomography (CT) scanners that are commonly-used in hospitals and medical
centers nowadays produce low-resolution images, eg one voxel in the image corresponds to …
centers nowadays produce low-resolution images, eg one voxel in the image corresponds to …
Crowd detection in aerial images using spatial graphs and fully-convolutional neural networks
Unmanned aerial vehicles (UAVs) also known as drones are increasingly populating our
skies. This represents a relevant issue both for the legislator and the researcher. While the …
skies. This represents a relevant issue both for the legislator and the researcher. While the …
Fault detection based on fully convolutional networks (FCN)
J Wu, B Liu, H Zhang, S He, Q Yang - Journal of Marine Science and …, 2021 - mdpi.com
It is of great significance to detect faults correctly in continental sandstone reservoirs in the
east of China to understand the distribution of remaining structural reservoirs for more …
east of China to understand the distribution of remaining structural reservoirs for more …
Visual link retrieval and knowledge discovery in painting datasets
Visual arts are of inestimable importance for the cultural, historic and economic growth of our
society. One of the building blocks of most analysis in visual arts is to find similarity …
society. One of the building blocks of most analysis in visual arts is to find similarity …
Autonomous UAV safety by visual human crowd detection using multi-task deep neural networks
C Papaioannidis, I Mademlis… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Camera-equipped UAVs, or drones, are increasingly employed in a wide range of
applications. Thus, ensuring their safe flight in areas containing people is a top priority. In …
applications. Thus, ensuring their safe flight in areas containing people is a top priority. In …
Towards 3D printed modular unmanned aerial vehicle development: The landing safety paradigm
Unmanned aerial vehicles (UAVs) are at the fore-front of this century's technological shift,
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …
Multi-view convolutional network for crowd counting in drone-captured images
This paper proposes a novel lightweight and fast convolutional neural network to learn a
regression model for crowd counting in images captured from drones. The learning system …
regression model for crowd counting in images captured from drones. The learning system …