A critical review of artificial intelligence in mineral concentration

A Gomez-Flores, S Ilyas, GW Heyes, H Kim - Minerals Engineering, 2022 - Elsevier
Although various articles have reviewed the application of artificial intelligence (AI) in froth
flotation (summarized in this article), other unit operations for mineral concentration in …

Apple leaf disease recognition method with improved residual network

H Yu, X Cheng, C Chen, AA Heidari, J Liu, Z Cai… - Multimedia Tools and …, 2022 - Springer
The occurrence of apple diseases has dramatically affected the quality and yield of apples.
Disease monitoring is an important measure to ensure the healthy development of the apple …

Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method

AG Hussien, AA Heidari, X Ye, G Liang, H Chen… - Engineering with …, 2023 - Springer
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

Corn leaf diseases diagnosis based on K-means clustering and deep learning

H Yu, J Liu, C Chen, AA Heidari, Q Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …

Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation

L Liu, D Zhao, F Yu, AA Heidari, C Li, J Ouyang… - Computers in biology …, 2021 - Elsevier
This paper focuses on the study of multilevel COVID-19 X-ray image segmentation based on
swarm intelligence optimization to improve the diagnostic level of COVID-19. We present a …

Random reselection particle swarm optimization for optimal design of solar photovoltaic modules

Y Fan, P Wang, AA Heidari, H Chen, M Mafarja - Energy, 2022 - Elsevier
Renewable energy is becoming more popular due to environmental concerns about the
previous energy source. Accurate solar photovoltaic system model parameters substantially …

[KNIHA][B] Fundamentals of geomorphology

R Huggett, E Shuttleworth - 2022 - taylorfrancis.com
This revised and updated edition continues to provide a comprehensive introduction to the
subject, exploring the world's landforms from a broad systems perspective. It covers the …

[HTML][HTML] A review of lunar communications and antennas: Assessing performance in the context of propagation and radiation

E Serria, R Gadhafi, S AlMaeeni, H Mukhtar, A Copiaco… - Sensors, 2023 - mdpi.com
Over the previous two decades, a notable array of space exploration missions have been
initiated with the primary aim of facilitating the return of both humans and robots from Earth …

[HTML][HTML] A flexible deep learning crater detection scheme using Segment Anything Model (SAM)

I Giannakis, A Bhardwaj, L Sam, G Leontidis - Icarus, 2024 - Elsevier
Craters are one of the most important morphological features in planetary exploration. To
that extent, detecting, map** and counting craters is a mainstream process in planetary …

Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine

B Shi, H Ye, L Zheng, J Lyu, C Chen, AA Heidari… - Computers in Biology …, 2021 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) was distributed globally at the end of
December 2019 due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …