This paper delineates a conventional buck converter controlled by optimized PID controller
where Genetic Algorithm (GA) is employed with a view to enhancing the performance by …

In this paper, a machine learning approach is proposed to detect the presence of a brain
tumor at the initial stages. The data extracted from the MRI scans of an affected person can …

Firefly Algorithm (FA) refers to a swarm intelligence-based technique which appears to be
one of the most influential optimization algorithms in designing optimized controllers for …

This research work focuses on a widespread interpretation for the operation of depth
estimation using machine learning (ML) algorithms and computer vision. Depth estimation …

Stability of power converters has always been a major concern when dealing with nonlinear
behavior of the system and swarm-based optimization techniques are proven to be handy as …

This paper represents the idea of implementing the Particle Swarm Optimization (PSO)
algorithm in designing an optimized PID controller to investigate the stability and improve …

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

A comprehensive analysis on a novel topology of Boost converter with passive LC3
configuration has been proposed in this paper. The proposed DC-DC converter achieves a …

With rapid influx in population, number of motor vehicles are increasing hastily which
demands effective parking system in the urban areas. In this context, an VHSIC (very high …

This paper proposes wireless pH meter design that controls the quality of food. Various pH
values are orchestrated and compared to safe pH values from various foods. A system of pH …