[HTML][HTML] Assessing optimization techniques for improving water quality model
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …
assess frequently. The Water quality index (WQI) model is one of the most widely used …
A GA based hierarchical feature selection approach for handwritten word recognition
Feature selection plays a key role in reducing the dimensionality of a feature vector by
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …
Simulated annealing aided genetic algorithm for gene selection from microarray data
S Marjit, T Bhattacharyya, B Chatterjee… - Computers in Biology and …, 2023 - Elsevier
In recent times, microarray gene expression datasets have gained significant popularity due
to their usefulness to identify different types of cancer directly through bio-markers. These …
to their usefulness to identify different types of cancer directly through bio-markers. These …
Enhanced evolutionary feature selection and ensemble method for cardiovascular disease prediction
V Jothi Prakash, NK Karthikeyan - … Sciences: Computational Life Sciences, 2021 - Springer
Cardiovascular Disease (CVD) is one among the main factors for the increase in mortality
rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in …
rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in …
[HTML][HTML] Environment 4.0: How digitalization and machine learning can improve the environmental footprint of the steel production processes
V Colla, C Pietrosanti, E Malfa… - Matériaux & …, 2020 - mattech-journal.org
The concepts of Circular Economy and Industrial Symbiosis are nowadays considered by
policy makers a key for the sustainability of the whole European Industry. However, in the …
policy makers a key for the sustainability of the whole European Industry. However, in the …
A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images
K Rezaee, A Badiei, S Meshgini - 2020 27th national and 5th …, 2020 - ieeexplore.ieee.org
As a contagious disease originating from a novel coronavirus, COVID-19 leads to swollen
air sacs in the lungs. It can be diagnosed using a chest X-ray (CXR) images, which is usually …
air sacs in the lungs. It can be diagnosed using a chest X-ray (CXR) images, which is usually …
A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture
KA Shastry, HA Sanjay - Knowledge-Based Systems, 2021 - Elsevier
Data pre-processing is a technique that transforms the raw data into a useful format for
applying machine learning (ML) techniques. Feature selection (FS) and feature extraction …
applying machine learning (ML) techniques. Feature selection (FS) and feature extraction …
[HTML][HTML] A novel feature selection method for microarray data classification based on hidden Markov model
In this paper, a novel approach is introduced for integrating multiple feature selection criteria
by using hidden Markov model (HMM). For this purpose, five feature selection ranking …
by using hidden Markov model (HMM). For this purpose, five feature selection ranking …
A genetic algorithm based feature selection approach for microstructural image classification
Microstructure determines the most important factors that influence all aspects of the
physical properties of the metal. Machine learning based systems allow us to look at the …
physical properties of the metal. Machine learning based systems allow us to look at the …
[HTML][HTML] SVM-BT-RFE: An improved gene selection framework using Bayesian T-test embedded in support vector machine (recursive feature elimination) algorithm
Abstract Gene Regulatory Network (GRN) has always gained considerable attention from
bioinformaticians and system biologists in understanding the biological process. But the …
bioinformaticians and system biologists in understanding the biological process. But the …