Binary starling murmuration optimizer algorithm to select effective features from medical data
Feature selection is an NP-hard problem to remove irrelevant and redundant features with
no predictive information to increase the performance of machine learning algorithms. Many …
no predictive information to increase the performance of machine learning algorithms. Many …
Binary approaches of quantum-based avian navigation optimizer to select effective features from high-dimensional medical data
Many metaheuristic approaches have been developed to select effective features from
different medical datasets in a feasible time. However, most of them cannot scale well to …
different medical datasets in a feasible time. However, most of them cannot scale well to …
[HTML][HTML] Corneal elevation topographic maps assessing different diseases detection: a review
The cornea is the human eye's transparent outermost layer. It plays a significant role in
kee** the eyeball's shape and preventing infections with protective functions for the …
kee** the eyeball's shape and preventing infections with protective functions for the …
Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in …
H Mustafa, A Tariq, H Shu, SN ul Hassan… - Journal of …, 2024 - Elsevier
The accurate detection and monitoring of supraglacial lakes in high mountainous regions
are crucial for understanding their dynamic nature and implications for environmental …
are crucial for understanding their dynamic nature and implications for environmental …
A hybrid cracked tiers detection system based on adaptive correlation features selection and deep belief neural networks
Tire defects are crucial for safe driving. Specialized experts or expensive tools such as
stereo depth cameras and depth gages are usually used to investigate these defects. In …
stereo depth cameras and depth gages are usually used to investigate these defects. In …
Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review
Over the past decades, the cryosphere has changed significantly in High Mountain Asia
(HMA), leading to multiple natural hazards such as rock–ice avalanches, glacier collapse …
(HMA), leading to multiple natural hazards such as rock–ice avalanches, glacier collapse …
Classification of faults in friction stir processed composites using a machine learning and ensemble learning approach
Aluminium alloy-based surface composites with hard reinforcement particles have a wide
scope in the aerospace and automobile manufacturing industries. In this paper, the …
scope in the aerospace and automobile manufacturing industries. In this paper, the …
A proactive grey wolf optimization for improving bioinformatic systems with high dimensional data
AH Alsaeedi, D Al-Shammary, SM Hadi… - International Journal of …, 2024 - Springer
This paper introduces a new methodology for optimization problems, combining the Grey
Wolf Optimizer (GWO) with Simi-stochastic search processes. Intelligent optimizations …
Wolf Optimizer (GWO) with Simi-stochastic search processes. Intelligent optimizations …
[HTML][HTML] Application of Artificial Intelligence in Glacier Studies: A State-of-the-Art Review
S Nurakynov, A Merekeyev, Z Baygurin, N Sydyk… - Water, 2024 - mdpi.com
Assessing glaciers using recent and historical data and predicting the future impacts on
them due to climate change are crucial for understanding global glacier mass balance …
them due to climate change are crucial for understanding global glacier mass balance …
Different mechanisms of machine learning and optimization algorithms utilized in intrusion detection systems
MR Aziz, AS Alfoudi - AIP Conference Proceedings, 2023 - pubs.aip.org
Malicious software is an integral part of cybercrime defense. Due to the growing number of
malicious attacks and their target sources, detecting and preventing the attack becomes …
malicious attacks and their target sources, detecting and preventing the attack becomes …