Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection

A Hashemi, M Joodaki, NZ Joodaki… - Applied Soft …, 2022 - Elsevier
Abstract Ant Colony Optimization (ACO) is a probabilistic and approximation metaheuristic
algorithm to solve complex combinatorial optimization problems. ACO algorithm is inspired …

Classification of Maize leaf diseases from healthy leaves using Deep Forest

J Arora, U Agrawal - Journal of Artificial Intelligence and Systems, 2020 - iecscience.org
Apart from being relied upon for feeding the entire world, the agricultural sector is also
responsible for a third of the global Gross-Domestic-Product (GDP). Additionally, a majority …

An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic

M Joodaki, MB Dowlatshahi, NZ Joodaki - Knowledge-Based Systems, 2021 - Elsevier
One of the crucial processes in machine learning algorithms to improve the performance as
well as, in some cases, to reduce the computational cost is feature selection. In other words …

Hybrid firefly particle swarm optimisation algorithm for feature selection problems

M Ragab - Expert Systems, 2024 - Wiley Online Library
Feature selection techniques play a vital role in the processes that deal with enormous
amounts of data. These techniques have become extremely crucial and necessary for data …

Particle guided metaheuristic algorithm for global optimization and feature selection problems

BD Kwakye, Y Li, HH Mohamed, E Baidoo… - Expert Systems with …, 2024 - Elsevier
Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

S Sharma, B Kaushik - International Journal of Communication …, 2021 - Wiley Online Library
The concept of the Internet of Vehicles (IoV) was evolved to cater to the increasing demands
of emerging and advanced vehicular applications such as intelligent transportation systems …

Malaria Detection on Giemsa-Stained Blood Smears Using Deep Learning and Feature Extraction

N Dang, V Saraf, A Khanna, D Gupta… - … Conference on Innovative …, 2020 - Springer
Malaria is a severe and fatal disease leading to exacerbation of a person's health and even
death. Thus identifying whether a person is suffering from malaria is much preponderant …

[PDF][PDF] Corn Leaf Disease Identification with Improved Accuracy.

P Srivastava - ACI@ ISIC, 2022 - ceur-ws.org
The corn is a major food crops in many countries along with rice and wheat. It is one that is
produced easily and used to feed millions of hungry stomachs. The production of corn is …

Multi-objective techniques for feature selection and classification in digital mammography

S Thawkar, LK Singh, M Khanna - Intelligent Decision …, 2021 - content.iospress.com
Feature selection is a crucial stage in the design of a computer-aided classification system
for breast cancer diagnosis. The main objective of the proposed research design is to …

An innovative method for cardiovascular disease detection based on nonlinear geometric features and feature reduction combination

A Saeedi, MK Moridani, A Azizi - Intelligent Decision …, 2021 - content.iospress.com
Cardiovascular is arguably the most dominant death cause in the world. Heart functionality
can be measured in various ways. Heart sounds are usually inspected in these experiments …