Plant disease detection using computational intelligence and image processing

VK Vishnoi, K Kumar, B Kumar - Journal of Plant Diseases and Protection, 2021 - Springer
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions

Sakshi, V Kukreja - Archives of Computational Methods in Engineering, 2023 - Springer
Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

EWOA-OPF: Effective whale optimization algorithm to solve optimal power flow problem

MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Electronics, 2021 - mdpi.com
The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends

Y Bi, B Xue, P Mesejo, S Cagnoni… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …

From ants to whales: metaheuristics for all tastes

F Fausto, A Reyna-Orta, E Cuevas, ÁG Andrade… - Artificial Intelligence …, 2020 - Springer
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems

A Seyyedabbasi, R Aliyev, F Kiani, MU Gulle… - Knowledge-Based …, 2021 - Elsevier
This paper introduces three hybrid algorithms that help in solving global optimization
problems using reinforcement learning along with metaheuristic methods. Using the …

Groundwater level modeling using augmented artificial ecosystem optimization

N Van Thieu, SD Barma, T Van Lam, O Kisi… - Journal of …, 2023 - Elsevier
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …

Image segmentation using computational intelligence techniques

SS Chouhan, A Kaul, UP Singh - Archives of Computational Methods in …, 2019 - Springer
Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

Soft computing approaches for image segmentation: a survey

SS Chouhan, A Kaul, UP Singh - Multimedia Tools and Applications, 2018 - Springer
Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

A survey on artificial intelligence techniques for biomedical image analysis in skeleton-based forensic human identification

P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega - Applied Sciences, 2020 - mdpi.com
This paper represents the first survey on the application of AI techniques for the analysis of
biomedical images with forensic human identification purposes. Human identification is of …