Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019)
Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …
dimension of the feature set while maintaining the accuracy of the performance is the main …
Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
The main objective of feature selection is to improve learning performance by selecting
concise and informative feature subsets, which presents a challenging task for machine …
concise and informative feature subsets, which presents a challenging task for machine …
Hessian-based semi-supervised feature selection using generalized uncorrelated constraint
Feature selection (FS) aims to eliminate redundant features and choose the informative
ones. Since labeled data are not always easily available and abundant unlabeled data are …
ones. Since labeled data are not always easily available and abundant unlabeled data are …
Nature‐Inspired‐Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking
N Yuvaraj, K Srihari, G Dhiman… - Mathematical …, 2021 - Wiley Online Library
In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …
individual or a group against a victim via electronic media. The consequence of CB is …
Research on the natural language recognition method based on cluster analysis using neural network
Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …
domains and in natural language recognition. This article contributes to the clustering …
Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks
S Ashwinkumar, S Rajagopal, V Manimaran… - Materials Today …, 2022 - Elsevier
Agriculture is the major occupation in India and it loses 35% of the crop productivity annually
owing to plant diseases. Earlier plant disease detection is a tedious process because of …
owing to plant diseases. Earlier plant disease detection is a tedious process because of …
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation
EH Houssein, K Hussain, L Abualigah… - Knowledge-based …, 2021 - Elsevier
A recent meta-heuristic algorithm called Marine Predators Algorithm (MPA) is enhanced
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …
[HTML][HTML] Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods
M Poongodi, M Hamdi, M Malviya, A Sharma… - Personal and ubiquitous …, 2022 - Springer
Abstract Since the coronavirus (COVID-19) outbreak keeps on spreading all through the
world, scientists have been crafting varied technologies mainly focusing on AI for an …
world, scientists have been crafting varied technologies mainly focusing on AI for an …
[HTML][HTML] Novel improved salp swarm algorithm: An application for feature selection
We live in a period when smart devices gather a large amount of data from a variety of
sensors and it is often the case that decisions are taken based on them in a more or less …
sensors and it is often the case that decisions are taken based on them in a more or less …
[HTML][HTML] Ubiquitous vehicular ad-hoc network computing using deep neural network with iot-based bat agents for traffic management
In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …