Different face detection techniques are being used for ages. Taking a step forward,
recognizing the human face from the database or getting the new face in the database by …

This study provides a detailed analysis of the potential improvements in 5G network
performance due to the adoption of NOMA and Massive MIMO technologies. Obtaining …

The efficiency of several machine learning algorithms in picture identification and predictive
modelling is thoroughly compared in this research article. The necessity to find the best …

This study uses a dataset of 70000 participants to predict the presence or absence of
cardiovascular disease using 11 predictor characteristics. These variables comprise the …

Heart disease has been the prime cause of death for many decades. In 2015, research was
conducted to go through studies conducted in high-income areas. The studies were limited …

In This research paper introduces a robust deep learning model, ECG-CNN, designed for
heartbeat categorization. Leveraging a meticulously curated dataset encompassing diverse …

This paper presents a novel approach to deep learning by putting forth a cooperative system
that uses the VGG16 architecture to categorise COVID-19 examples into two groups. Our …

This paper presents an extraordinary method to detected melanoma, the most lethal form of
skin cancer, using Involutional Neural Networks (INNs). Melanoma's early detection is …

In this pioneering research endeavor, we delved into the intricate realm of speech
recognition technology, aiming to surmount the formidable challenges posed by acoustically …

Automatic speech emotion recognition poses great challenges due to the large differences
between acoustic properties and human perception. its performance relies on a variety of …