Genetic algorithm based on natural selection theory for optimization problems
The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls
under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically …
under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically …
Breast cancer diagnosis using the fast learning network algorithm
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
Voice pathology detection and classification by adopting online sequential extreme learning machine
In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …
Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …
[PDF][PDF] Convolutional neural network for the detection of coronavirus based on X-ray images
EH Ahmed, MRM Alsemawi, MH Mutar… - Indonesian Journal of …, 2022 - researchgate.net
Nowadays, the coronavirus disease (COVID-19) is considered an ongoing pandemic that
spread quickly in most countries around the world. The COVID-19 causes severe acute …
spread quickly in most countries around the world. The COVID-19 causes severe acute …
Speech emotion recognition using optimized genetic algorithm-extreme learning machine
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
Detection and classification of conflict flows in SDN using machine learning algorithms
Software-Defined Networking (SDN) is a new type of technology that embraces high
flexibility and adaptability. The applications in SDN have the ability to manage and control …
flexibility and adaptability. The applications in SDN have the ability to manage and control …
Spoken language recognization based on features and classification methods: A review
P Bam, S Degadwala, R Upadhyay… - … Conference on Artificial …, 2022 - ieeexplore.ieee.org
In Western countries, speech-recognition applications are accepted. In East Asia, it isn't as
common. The complexity of the language might be one of the main reasons for this latency …
common. The complexity of the language might be one of the main reasons for this latency …
FuzzyGCP: A deep learning architecture for automatic spoken language identification from speech signals
In this modern era, language has no geographic boundary. Therefore, for developing an
automated system for search engines using audio, tele-medicine, emergency service via …
automated system for search engines using audio, tele-medicine, emergency service via …
Grey wolf optimization-extreme learning machine for automatic spoken language identification
Natural language classification and determination based on a particular content and dataset
is carried out using Spoken Language Identification (LID) which typically involves the …
is carried out using Spoken Language Identification (LID) which typically involves the …