[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 …
[HTML][HTML] 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 …
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 …
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 …
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 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 …
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 …
Brain tumor segmentation using deep learning on MRI images
AM Mostafa, M Zakariah, EA Aldakheel - Diagnostics, 2023 - mdpi.com
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 …
Demystifying evidential Dempster Shafer-based CNN architecture for fetal plane detection from 2D ultrasound images leveraging fuzzy-contrast enhancement and …
Ultrasound imaging is a valuable tool for assessing the development of the fetal during
pregnancy. However, interpreting ultrasound images manually can be time-consuming and …
pregnancy. However, interpreting ultrasound images manually can be time-consuming and …
The Role of Machine Learning in Managing and Organizing Healthcare Records
With the exponential growth of medical data, Machine Learning (ML) algorithms are
becoming increasingly important to the management and organization of healthcare …
becoming increasingly important to the management and organization of healthcare …