A novel hybridization strategy for krill herd algorithm applied to clustering techniques

Abualigah, Laith; Khader, Ahamad Tajudin; Hanandeh, Essam Said; Gandomi, Amir H.

doi:10.1016/j.asoc.2017.06.059

Cited by 209 publications

(66 citation statements)

References 29 publications

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“…Maximal pattern mining finds the set of patterns whose super-patterns are infrequent. Closed SPM has become a research hotspot because of its impressive compression performance [46,47] and has been widely used in many essential fields, such as recommendation systems [48], clustering analysis [49][50][51], genetic engineering [52], disease diagnosis [53], and software engineering [54,55]. However, these studies ignored the repetitions that may contain more relevant information in long sequences.…”

Section: Related Workmentioning

confidence: 99%

NetNCSP: Nonoverlapping closed sequential pattern mining

Zhu

et al. 2020

Knowledge-Based Systems

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Section: Related Workmentioning

confidence: 99%

NetNCSP: Nonoverlapping closed sequential pattern mining

Zhu

et al. 2020

Knowledge-Based Systems

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“…This opens up a whole new field of research where optimization of the learning process is required to enable a comprehensive capturing of the extracted features' embedded knowledge. One competent way to tackle such problem is to use meta-heuristic FS method [23][24][25][26][27][28][29][30][31][32][33] which intelligently selects only the relevant features without loss of any valuable information. This method assumes that this reduced set of features carries significant information about the audio signal and is enough for the model to identify the different spoken languages while maintaining a high accuracy level.…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…More specifically, to truly understand the dependence of the algorithm on these parameters, many experiments with various permutations of population size and number of iterations have been performed while keeping the other parameters constant. The algorithm have been evaluated for iterations of [10,20,30,40] on all the datasets and it is observed that even though the accuracy increases significantly with an increase in number of iterations from 10 to 30, the accuracy increases only by a small margin while increasing the same from 30 to 40. However, the time complexity increases exponentially with a small increase in number of iterations.…”

Section: ) Parameter Tuningmentioning

confidence: 99%

Hybrid Feature Selection Method Based on Harmony Search and Naked Mole-Rat Algorithms for Spoken Language Identification From Audio Signals

et al. 2020

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This era is dominated by artificial intelligence and its various applications-one of which is Spoken Language Identification (S-LID) which has always been a challenging issue and an important research area in the domain of speech signal processing. This paper deals with SLID to be used for Human-Computer Interaction (HCI) based applications by attempting to classify various languages from three multilingual databases namely CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages, VoxForge and Indian Institute of Technology, Madras (IIT-Madras) speech corpus database by extracting their Mel-Spectrogram features and Relative Spectral Transform-Perceptual Linear Prediction (RASTA-PLP) features. A new hybrid Feature Selection (FS) algorithm have been developed using the versatile Harmony Search (HS) algorithm and a new nature-inspired algorithm called Naked Mole-Rat (NMR) algorithm to select the best subset of features and reduce the model complexity to help it train faster. This selected feature set is fed to five classifiers namely Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Multi-layer Perceptron (MLP), Naïve Bayes (NB) and Random Forest (RF). The evaluation measures used in this paper are precision, recall, f1-score, classification accuracy and number of selected features. An accuracy of 99.89% on CSS10, 98.22% on VoxForge and 99.75% on IIT-Madras speech corpus databases is achieved using RF. Furthermore, the proposed algorithm is found to outperform 15 standard meta-heuristic FS algorithms.

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“…Table I demonstrates the WCAG 2.0 conformance levels. Other optimization techniques can be used [7][8][9][10][11][12][13]. All SCs of level A are satisfied.…”

Section: Wcag 20mentioning

confidence: 99%

The Accessibility Diagnosis on Jordan E-Government Website

Abuaddous¹

2019

IJSAIT

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The aim of this paper is to evaluate Jordan E-Government website from the accessibility perspective. An evaluation was made to diagnose the website accessibility using online-automated tool named TAW to provide in-depth technical direction on HTML issues relating to accessibility. The results showed significant issues and the website lacks accessibility. Therefore, the website needs further improvements to improve its quality in order to make this website accessible to everyone including people with certain disabilities.

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A novel hybridization strategy for krill herd algorithm applied to clustering techniques

Cited by 209 publications

References 29 publications

NetNCSP: Nonoverlapping closed sequential pattern mining

NetNCSP: Nonoverlapping closed sequential pattern mining

Hybrid Feature Selection Method Based on Harmony Search and Naked Mole-Rat Algorithms for Spoken Language Identification From Audio Signals

The Accessibility Diagnosis on Jordan E-Government Website

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