Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges
Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …
Most of these cliché methods mimic animals' searching trends and possess a small …
How energy insecurity leads to energy poverty? Do environmental consideration and climate change concerns matters
The aim of the study is to estimate the nexus between energy insecurity and energy poverty
with the role of climate change and other environmental concerns. We used DEA like WP …
with the role of climate change and other environmental concerns. We used DEA like WP …
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem
R Dong, H Chen, AA Heidari, H Turabieh… - Knowledge-Based …, 2021 - Elsevier
In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …
solve complex optimization problems. However, these algorithms suffer from the …
Dynamic stability/instability simulation of the rotary size-dependent functionally graded microsystem
X Huang, H Hao, K Oslub, M Habibi… - Engineering with …, 2022 - Springer
In the current paper, vibrational and critical circular speed characteristics of a functionally
graded (FG) rotary microdisk is examined considering a continuum nonlocal model called …
graded (FG) rotary microdisk is examined considering a continuum nonlocal model called …
CFD-based simulation to reduce greenhouse gas emissions from industrial plants
Sarjito, M Elveny, AT Jalil, A Davarpanah… - International Journal of …, 2021 - degruyter.com
Greenhouse gas (GHG) pollution is considered one of the challenging concerns in industrial
plants, and to emit the appropriate designation in nitrogen oxide reduction, it is required to …
plants, and to emit the appropriate designation in nitrogen oxide reduction, it is required to …
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
An intelligent computer method for vibration responses of the spinning multi-layer symmetric nanosystem using multi-physics modeling
This article is the first attempt to employ deep learning to estimate the frequency
performance of the rotating multi-layer nanodisks. The optimum values of the parameters …
performance of the rotating multi-layer nanodisks. The optimum values of the parameters …
Boosting quantum rotation gate embedded slime mould algorithm
The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …