Convolutional neural networks (CNNs) have shown outstanding results in different
application tasks. However, the best performance is obtained when customized CNNs …

The recent advancements in science, engineering, and technology have facilitated huge
generation of datasets. These huge datasets contain noisy, redundant, and irrelevant …

This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

Influence maximization refers to selecting a small number of influential nodes in a given
network to maximize the influence affected by the subset. In social network analysis and viral …

The design of neural architecture to address the challenge of detecting abnormalities in
histopathology images can leverage the gains made in the field of neural architecture …

In view of the problems of the connection weights and thresholds of the extreme learning
machine are randomly generated before training and remain unchanged during the training …

In this paper, a meta-heuristic-based optimization technique is used for predicting cancer in
the lungs. Lung cancer is one of the dreadful diseases that occurred in human beings and …

This paper focuses on improving the overall performance of the vegetation evolution (VEGE)
algorithm and proposes a chaotic VEGE with multiple seeding strategies and a mutation …

Crow search algorithm (CSA) is a novel meta-heuristic optimization algorithm based on the
intelligent behavior of the crow population. Although the algorithm has the characteristics of …

Applications for facial recognition have eased the process of personal identification.
However, there are increasing concerns about the performance of these systems against the …