Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

During the last decade, computer vision and machine learning have revolutionized the world
in every way possible. Deep Learning is a sub field of machine learning that has shown …

Multiclass classification of brain tumors is an important area of research in the field of
medical imaging. Since accuracy is crucial in the classification, a number of techniques are …

This research suggests a robust integration of artificial neural networks (ANN) for predicting
swell pressure and the unconfined compression strength of expansive soils (P s UCS-ES) …

Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …

A brain tumor is an abnormal growth of cells inside the skull. Malignant brain tumors are
among the most dreadful types of cancer with direct consequences such as cognitive …

This paper introduces a novel physical-inspired metaheuristic algorithm called “Light
Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the …

The major intention of this work is to detect the Brain tumor with accuracy by reducing error
rate and computational complexity. Therefore, in this manuscript, a Deep Convolutional …

The motive of this work is to provide the neural investigations using the artificial neural
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …

Gliomas are dreadful and common type of brain tumor. Therefore, treatment planning is
significant to increase the survival rate of gliomas patients. The large structural and spatial …