Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

In this study, multiple lung diseases are diagnosed with the help of the Neural Network
algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia …

Background Use of artificial intelligence to identify dermoscopic images has brought major
breakthroughs in recent years to the early diagnosis and early treatment of skin cancer, the …

A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

In the field of modern agriculture, plant disease detection plays a vital role in improving crop
productivity. To increase the yield on a large scale, it is necessary to predict the onset of the …

A novel swarm intelligence optimization technique is proposed called dragonfly algorithm
(DA). The main inspiration of the DA algorithm originates from the static and dynamic …

Abstract Acute Lymphoblastic Leukemia (ALL) is one of the most common types of cancer
globally, and the invasive tests used to diagnose it are costly and time-consuming …

Recently, more and more multi/many-objective algorithms have been proposed. However,
most evolutionary algorithms only focus on solving small-scale multi/many-objective …

In this paper, a feature learning enhanced convolutional neural network (FLE-CNN) is
proposed for cancer detection from histopathology images. To build a highly generalized …