Suicide is a significant public health concern, and there is growing interest in using machine
learning techniques to identify people who are at a high risk of committing suicide. In this …

The analysis of human emotional features is a significant hurdle to surmount on the path to
understanding the human mind. Human emotions are convoluted thus making its analysis …

Despite recent advances in medical imaging and machine learning, the detection of skin
cancer remains an enormous challenge. Traditional techniques like visual inspection and …

In this research, we propose a deep learning model employing gated recurrent units (GRUs)
for the transmission spectrum prediction, and computational inverse designing of all-optical …

This research article proposes a novel method for predicting human age using EEG signals
and machine learning (ML) models. EEG signals provide valuable insights into brain activity …

Prostate cancer is increasingly common among men. However, the process of diagnosing
malignant disease is relatively complicated and time-consuming. Identifying benign or …

Perception and action are the characteristics of the human condition and define our impact
on the world around us. The brain's ability to effectively sort and incorporate these signals for …

INTRODUCTION: Ever since the initial discovery of superconductivity, the fundamental
concept and the complex relationship between critical temperature and superconductive …

Integrating solar photovoltaic panels with existing structures can emerge as a viable solution
to the current energy crisis and reduction of carbon footprint. The goal of this research is to …

This paper represents the idea of implementing bio-inspired algorithms in designing an
optimized PID controller to investigate the stability and improve the performance of the …