Real-time facemask recognition with alarm system using deep learning
SV Militante, NV Dionisio - 2020 11th IEEE Control and System …, 2020 - ieeexplore.ieee.org
In the background of the COVID-19 pandemic, institutions such as the academy suffer a
great deal from practically closed globally if the current situation is not going to change …
great deal from practically closed globally if the current situation is not going to change …
Facial mask detection using semantic segmentation
T Meenpal, A Balakrishnan… - 2019 4th International …, 2019 - ieeexplore.ieee.org
Face Detection has evolved as a very popular problem in Image processing and Computer
Vision. Many new algorithms are being devised using convolutional architectures to make …
Vision. Many new algorithms are being devised using convolutional architectures to make …
[HTML][HTML] Deep learning for medical image segmentation: State-of-the-art advancements and challenges
Image segmentation, a crucial process of dividing images into distinct parts or objects, has
witnessed remarkable advancements with the emergence of deep learning (DL) techniques …
witnessed remarkable advancements with the emergence of deep learning (DL) techniques …
Transfer learning-based classification comparison of stroke
RAJ Alhatemi, S Savaş - Computer Science, 2022 - dergipark.org.tr
One type of brain disease that significantly harms people's lives and health is stroke. The
diagnosis and management of strokes both heavily rely on the quantitative analysis of brain …
diagnosis and management of strokes both heavily rely on the quantitative analysis of brain …
Root hair image processing based on deep learning and prior knowledge
W Lu, X Wang, W Jia - Computers and Electronics in Agriculture, 2022 - Elsevier
In situ measurement of root traits is very essential for better understanding of root
development. However, difficulty in acquisition of root traits, fine roots and root hairs in …
development. However, difficulty in acquisition of root traits, fine roots and root hairs in …
[HTML][HTML] A hybrid stacked restricted boltzmann machine with sobel directional patterns for melanoma prediction in colored skin images
Melanoma, a kind of skin cancer that is very risky, is distinguished by uncontrolled cell
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
COVID-19 SOP's violations detection in terms of face mask using deep learning
Facemask detection is a need of time as we are suffering in a pandemic situation of COVID-
19, and facemask is considered the best preventive measure to stop the rapid spread. The …
19, and facemask is considered the best preventive measure to stop the rapid spread. The …
A deep learning approach for brain tumor detection using magnetic resonance imaging
The growth of abnormal cells in the brain's tissue causes brain tumors. Brain tumors are
considered one of the most dangerous disorders in children and adults. It develops quickly …
considered one of the most dangerous disorders in children and adults. It develops quickly …
[PDF][PDF] Automated brain tumour detection using deep learning via convolution neural networks (CNN)
Introduction: Brain tumours are the most known and aggressive disorder, leading to a poor
lifetime at the highest level. Treatment is one of the main benefits of development that saves …
lifetime at the highest level. Treatment is one of the main benefits of development that saves …
Brain-DeepNet: a deep learning based classifier for brain tumor detection and classification
Brain tumor is one of the most hazardous disease that leads a man to gradual death. To
ensure proper and effective treatment, this is very important to detect the brain tumor and …
ensure proper and effective treatment, this is very important to detect the brain tumor and …