Enhancing the early detection of chronic kidney disease: a robust machine learning model
Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …
Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in
making informed decisions about crop selection to optimize yields. These systems leverage …
making informed decisions about crop selection to optimize yields. These systems leverage …
Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models
E Hassan - Neural Computing and Applications, 2024 - Springer
Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …
impacting the economic stability of some countries that heavily depend on coffee production …
QSAR Modeling for Predicting Beta-Secretase 1 Inhibitory Activity in Alzheimer's Disease with Support Vector Regression
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
decline, with the accumulation of β-amyloid (Aβ) plaques playing a key role in its …
decline, with the accumulation of β-amyloid (Aβ) plaques playing a key role in its …
Optimization Techniques for Asthma Exacerbation Prediction Models: A Systematic Literature Review
Asthma exacerbations pose a significant global health concern, necessitating effective
predictive models to anticipate and manage these events. This systematic literature review …
predictive models to anticipate and manage these events. This systematic literature review …
Deepfake detection using convolutional vision transformers and convolutional neural networks
AH Soudy, O Sayed, H Tag-Elser, R Ragab… - Neural Computing and …, 2024 - Springer
Deepfake technology has rapidly advanced in recent years, creating highly realistic fake
videos that can be difficult to distinguish from real ones. The rise of social media platforms …
videos that can be difficult to distinguish from real ones. The rise of social media platforms …
An explainable multi-model stacked classifier approach for predicting hepatitis C drug candidates
Hepatitis C virus (HCV) infection affects over 71 million people worldwide, leading to severe
liver diseases, including cirrhosis and hepatocellular carcinoma. The virus's high mutation …
liver diseases, including cirrhosis and hepatocellular carcinoma. The virus's high mutation …
Enhanced heart disease prediction through hybrid CNN-TLBO-GA optimization: a comparative study with conventional CNN and optimized CNN using FPO algorithm
RP Ram Kumar, S Raju, E Annapoorna… - Cogent …, 2024 - Taylor & Francis
Cardiovascular diseases (CD), or heart diseases (HD), lead to approximately 17.9 million
deaths each year, constituting 32% of global fatalities. Early detection and appropriate …
deaths each year, constituting 32% of global fatalities. Early detection and appropriate …
Investigations on cardiovascular diseases and predicting using machine learning algorithms
RP Ram Kumar, S Polepaka, V Manasa… - Cogent …, 2024 - Taylor & Francis
Detection of heart diseases (HD) at an early stage diminishes the mortality rate. However,
handling huge data is cumbersome for physicians. Hence, there is a need for a tool …
handling huge data is cumbersome for physicians. Hence, there is a need for a tool …
ANN-based deep collocation method for natural convection in porous media
A deep collocation method (DCM) is proposed for studying the natural convection
phenomenon in the porous media (NCPM). The buoyancy-driven convection analysis inside …
phenomenon in the porous media (NCPM). The buoyancy-driven convection analysis inside …