Search Results for author:
Found 16 papers, 2 papers with code
Ontology Learning Using Formal Concept Analysis and WordNet
This project and dissertation provide a Formal Concept Analysis and WordNet framework for learning concept hierarchies from free texts.
Equitable and Fair Performance Evaluation of Whale Optimization Algorithm
It is essential that all algorithms are exhaustively, somewhat, and intelligently evaluated.
Balancing exploration and exploitation phases in whale optimization algorithm: an insightful and empirical analysis
Obtaining robust results in any algorithm is strongly dependent on how to balance between these two modes.
Awareness requirement and performance management for adaptive systems: a survey
The primary objective of this research is to summarize current advances in awareness requirements for adaptive strategies based on an examination of state-of-the-art methods described in the literature.
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
However, it is found that FDO has the longest runtime compared to the other algorithms.
Harmony Search: Current Studies and Uses on Healthcare Systems
The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions.
An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images
In this paper, an improvement in deep convolutional learning is ensured by adopting enhanced optimization algorithms, Thus, Deep Convolutional Neural Network (DCNN) based on improved Harris Hawks Optimization (HHO), called G-HHO has been considered.
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
An overview of the SFLA is first conducted, followed by the algorithm's most recent modifications and hybridizations.
A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star
Third, an operational framework was proposed to rate the effectiveness of iECA* against other algorithms in the datasets analysed, and the results indicated that iECA* exhibited the best performance in clustering all medical datasets.
Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning
In turn, an experiment was conducted by applying 385 sample corpora from Wikipedia on the two frameworks to examine the reduction of formal context size, which leads to yield concept lattice and concept hierarchy.
Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star
Generating formal context may lead to a time-consuming process, so formal context size reduction is required to remove uninterested and erroneous pairs, taking less time to extract the concept lattice and concept hierarchies accordingly.
Evaluating e-Government Services in Kurdistan Institution for Strategic Studies and Scientific Research Using the EGOVSAT Model
The aims of this research paper is to evaluate user satisfaction of this software and identify its significant predictors using EGOVSAT Model.
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms.
A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets
We notice that most of these techniques deterministically define a cluster based on the value of the attributes, distance, and density of homogenous and single-featured datasets.
CSCF: a chaotic sine cosine firefly Algorithm for practical application problems
However, several optimization algorithms namely firefly algorithm, sine cosine algorithm, particle swarm optimization algorithm have few drawbacks such as computational complexity, convergence speed etc.
Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation
The first framework is a general framework to depict the main extensions of BSA, whereas the second is an operational framework to present the expansion procedures of BSA to guide the researchers who are working on improving it.
