Brain tumor classification using fine-tuned transfer learning models on magnetic resonance imaging (MRI) images
Objective Brain tumors are a leading global cause of mortality, often leading to reduced life
expectancy and challenging recovery. Early detection significantly improves survival rates …
expectancy and challenging recovery. Early detection significantly improves survival rates …
[HTML][HTML] Application of computational technologies for transesterification of waste cooking oil into biodiesel
Continued depletion of fossil-based energy resources, environmental concerns, and the
necessity to assuage the ever-increasing global energy demand have resulted in efforts to …
necessity to assuage the ever-increasing global energy demand have resulted in efforts to …
[HTML][HTML] Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN
Human activity recognition (HAR) plays a crucial role in assisting the elderly and individuals
with vascular dementia by providing support and monitoring for their daily activities. This …
with vascular dementia by providing support and monitoring for their daily activities. This …
[HTML][HTML] A stacked ensemble approach to detect cyber attacks based on feature selection techniques
The exponential growth of data and increased reliance on interconnected systems have
heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) …
heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) …
[HTML][HTML] A dual-tier adaptive one-class classification IDS for emerging cyberthreats
In today's digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT)
systems has grown immensely, which facilitates sensitive activities such as banking …
systems has grown immensely, which facilitates sensitive activities such as banking …
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
Skin cancer is a potentially life-threatening disease resulting from DNA damage, where early
detection is critical to improving survival rates. This study introduces an advanced hybrid …
detection is critical to improving survival rates. This study introduces an advanced hybrid …
Using the Machine Learning Algorithms for Accurate Prediction of Diabetes
Diabetics has proven to be the most threatening illness affecting the body system. It is
associated with many consequences, including blindness, kidney failure, amputations, heart …
associated with many consequences, including blindness, kidney failure, amputations, heart …
Heart Disease Classification Using Decision Trees
Cardiovascular disease remains the world's leading cause of mortality, with its often
asymptomatic nature in the early stages leading to potentially fatal outcomes if undiagnosed …
asymptomatic nature in the early stages leading to potentially fatal outcomes if undiagnosed …
[PDF][PDF] International Journal of Cognitive Computing in Engineering
MA Uddin, MA Talukder, MR Ahmed, A Khraisat… - researchgate.net
The rapid growth of internet users and social networking sites presents significant
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …