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[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
A robust MRI-based brain tumor classification via a hybrid deep learning technique
The brain is the most vital component of the neurological system. Therefore, brain tumor
classification is a very challenging task in the field of medical image analysis. There has …
classification is a very challenging task in the field of medical image analysis. There has …
[HTML][HTML] A survey of CNN-based approaches for crack detection in solar PV modules: current trends and future directions
Detection of cracks in solar photovoltaic (PV) modules is crucial for optimal performance and
long-term reliability. The development of convolutional neural networks (CNNs) has …
long-term reliability. The development of convolutional neural networks (CNNs) has …
Brain tumor segmentation using deep learning on MRI images
Brain tumor (BT) diagnosis is a lengthy process, and great skill and expertise are required
from radiologists. As the number of patients has expanded, so has the amount of data to be …
from radiologists. As the number of patients has expanded, so has the amount of data to be …
Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach
Background The necessity of prompt and accurate brain tumor diagnosis is unquestionable
for optimizing treatment strategies and patient prognoses. Traditional reliance on Magnetic …
for optimizing treatment strategies and patient prognoses. Traditional reliance on Magnetic …
SNSVM: SqueezeNet-guided SVM for breast cancer diagnosis
Breast cancer is a major public health concern that affects women worldwide. It is a leading
cause of cancer-related deaths among women, and early detection is crucial for successful …
cause of cancer-related deaths among women, and early detection is crucial for successful …
Classifying and localizing abnormalities in brain MRI using channel attention based semi-Bayesian ensemble voting mechanism and convolutional auto-encoder
Adults who have brain tumors face a serious and potentially fatal challenge since the tumors
rapidly growing malignant cells can seriously impair their physiological ability. In clinical …
rapidly growing malignant cells can seriously impair their physiological ability. In clinical …
A novel security framework to mitigate and avoid unexpected security threats in saudi arabia
A Alshammari - Engineering, Technology & Applied Science Research, 2023 - etasr.com
Many organizations around the world suffer large losses due to unexpected risks which can
have a profound impact on their survival. This paper presents a novel security framework to …
have a profound impact on their survival. This paper presents a novel security framework to …
[HTML][HTML] Brain tumor detection and classification using an optimized convolutional neural network
Brain tumors are a leading cause of death globally, with numerous types varying in
malignancy, and only 12% of adults diagnosed with brain cancer survive beyond five years …
malignancy, and only 12% of adults diagnosed with brain cancer survive beyond five years …
A survey and a credit card fraud detection and prevention model using the decision tree algorithm
AS Alraddadi - Engineering, Technology & Applied Science Research, 2023 - etasr.com
Today, many people prefer online payment methods due to the rapid growth in cashless
electronic transactions. Credit and debit cards are the most popular electronic payment …
electronic transactions. Credit and debit cards are the most popular electronic payment …