Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
Harris hawk optimization: a survey onvariants and applications
BK Tripathy, PK Reddy Maddikunta… - Computational …, 2022 - Wiley Online Library
In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …
A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets
The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve
continuous mechanical engineering design problems with a considerable balance of the …
continuous mechanical engineering design problems with a considerable balance of the …
Gene selection with Game Shapley Harris hawks optimizer for cancer classification
Cancer disease has been classified as a perilous disease for humans, being the second
leading cause of death globally. Even advanced-stage diagnosis may not be effective in …
leading cause of death globally. Even advanced-stage diagnosis may not be effective in …
Lung cancer diagnosis in CT images based on Alexnet optimized by modified Bowerbird optimization algorithm
Y Xu, Y Wang, N Razmjooy - Biomedical Signal Processing and Control, 2022 - Elsevier
Objective Cancer is the uncontrolled growth of abnormal cells that do not function as normal
cells. Lung cancer is the leading cause of cancer death in the world, so early detection of …
cells. Lung cancer is the leading cause of cancer death in the world, so early detection of …
Chaotic Harris hawks optimization algorithm
Harris hawks optimization (HHO) is a population-based metaheuristic algorithm, inspired by
the hunting strategy and cooperative behavior of Harris hawks. In this study, HHO is …
the hunting strategy and cooperative behavior of Harris hawks. In this study, HHO is …
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause severe ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause severe ailments in …
An adaptive hybrid mutated differential evolution feature selection method for low and high-dimensional medical datasets
Feature selection (FS) constitutes a crucial endeavor in classification procedures, aiming to
identify the minimal subset of features that maximizes classification accuracy. In the realm of …
identify the minimal subset of features that maximizes classification accuracy. In the realm of …
A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence
Kinematic motion detection aims to determine a person's actions based on activity data.
Human kinematic motion detection has many valuable applications in health care, such as …
Human kinematic motion detection has many valuable applications in health care, such as …
IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge computing
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …
usually occur in the extremities of long bones near metaphyseal growth plates …