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 …
Traditional machine learning algorithms for breast cancer image classification with optimized deep features
For breast cancer diagnosis, computer-aided classification of histopathological images is of
critical importance for correct and early diagnosis. Transfer learning approaches for feature …
critical importance for correct and early diagnosis. Transfer learning approaches for feature …
Energy efficient multi-criterion binary grey wolf optimizer based clustering for heterogeneous wireless sensor networks
Wireless sensor networks are constrained by limited energy resources of sensor nodes,
which limits the efficiency and lifetime of the network. Clustering is a widely adopted strategy …
which limits the efficiency and lifetime of the network. Clustering is a widely adopted strategy …
High embedding capacity based color image watermarking scheme using SBBO in RDWT domain
In a watermarking scheme, high embedding capacity and robust recovery is a challenging
issue. The existing watermarking schemes embed either a binary or grayscale watermark in …
issue. The existing watermarking schemes embed either a binary or grayscale watermark in …
Optimal cluster head election in industrial WSNs using the multi-objective genetic algorithm
Recently, wireless sensor networks are very demanding in industrial automation due to
advancements in microelectronical systems (MEMS) and embedded system technologies …
advancements in microelectronical systems (MEMS) and embedded system technologies …
Feature Selection and Reduction for Analysis of Histopathology Images
S Singh, AK Jaiswal, R Kumar - … conference on soft computing for problem …, 2023 - Springer
Applications ranging from computer assisted diagnosis (CAD) to image categorization and
retrieval are very much popular in the automatic analysis of microscopic images. The …
retrieval are very much popular in the automatic analysis of microscopic images. The …
Enhanced Biogeography Based Optimization (EBBO) for longevity and optimized energy consumption of Wireless Sensor Network
The major challenges of the remotely deployed wireless sensor network are selecting
optimal cluster heads and energy-efficient routing. To deal with these challenges …
optimal cluster heads and energy-efficient routing. To deal with these challenges …
Mixed-Language Sentiment Analysis on Malaysian Social Media Using Translated VADER and Normalisation Heuristics
J Mountstephens, MTZ Quen - Congress on Intelligent Systems, 2022 - Springer
Abstract Most work in Sentiment Analysis has so far been in a single-language context,
primarily English. This work addresses the neglected issue of Sentiment Analysis in a mixed …
primarily English. This work addresses the neglected issue of Sentiment Analysis in a mixed …
Impact of Feature Selection Techniques for EEG-Based Seizure Classification
Najmusseher, M Umme Salma - Congress on Intelligent Systems, 2022 - Springer
A neurological condition called epilepsy can result in a variety of seizures. Seizures differ
from person to person. It is frequently diagnosed with fMRI, magnetic resonance imaging …
from person to person. It is frequently diagnosed with fMRI, magnetic resonance imaging …