Dr Mazhar Malik's Outputs (5)

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies (2024)
Journal Article

This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with... Read More about Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.

ONDL: An optimized Neutrosophic Deep Learning model for classifying waste for sustainability (2024)
Journal Article

Sustainability has become a key factor on our planet. If this concept is applied correctly, our planet will be greener and more eco-friendly. Nowadays, waste classification and management practices have become more evident than ever. It plays a cruci... Read More about ONDL: An optimized Neutrosophic Deep Learning model for classifying waste for sustainability.

Efficient load distribution in C-RAN: A priority-based level order traversal approach (2024)
Journal Article

The Cloud Radio Access Network addresses future communication challenges by managing massive traffic demands through its cloud-based infrastructure. C-RAN's dynamic adjustments of Baseband Units to Remote Radio Heads connections enable flexible resou... Read More about Efficient load distribution in C-RAN: A priority-based level order traversal approach.

A model for skin cancer using combination of ensemble learning and deep learning (2024)
Journal Article

Skin cancer has a significant impact on the lives of many individuals annually and is recognized as the most prevalent type of cancer. In the United States, an estimated annual incidence of approximately 3.5 million people receiving a diagnosis of sk... Read More about A model for skin cancer using combination of ensemble learning and deep learning.

Enhancing healthcare IoT systems for diabetic patient monitoring: Integration of Harris Hawks and grasshopper optimization algorithms (2024)
Journal Article

The integration of the Internet of Things (IoT) in healthcare, especially for people with diabetes, allows for constant health monitoring. This means that doctors can watch over patients' health more closely, making sure they catch any issues early o... Read More about Enhancing healthcare IoT systems for diabetic patient monitoring: Integration of Harris Hawks and grasshopper optimization algorithms.