0000000000484365

AUTHOR

Ajith Abraham

showing 4 related works from this author

Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis

2020

Parkinson’s disease is found as a progressive neurodegenerative condition which affects motor circuit by the loss of up to 70% of dopaminergic neurons. Thus, diagnosing the early stages of incidence is of great importance. In this article, a novel chaos-based stochastic model is proposed by combining the characteristics of chaotic firefly algorithm with Kernel-based Naïve Bayes (KNB) algorithm for diagnosis of Parkinson’s disease at an early stage. The efficiency of the model is tested on a voice measurement dataset that is collected from “UC Irvine Machine Learning Repository.” The dynamics of chaos optimization algorithm will enhance the firefly algorithm by introducing six types of chao…

Firefly protocolParkinson's diseasekernel density estimation functionComputer Networks and CommunicationsComputer scienceDopaminergicGeneral EngineeringChaotic020206 networking & telecommunications02 engineering and technologymedicine.diseaseChaos theorylcsh:QA75.5-76.95chaotic mapscalibration measure0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processinglcsh:Electronic computers. Computer sciencereceiver operating characteristic curvemetaheuristic algorithmNeuroscienceInternational Journal of Distributed Sensor Networks
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Emerging Standards and the Hybrid Model for Organizing Scientific Events During and After The COVID-19 Pandemic

2020

AbstractSince the beginning of 2020, the coronavirus disease (COVID-19) pandemic has dramatically influenced almost every aspect of human life. Activities requiring human gatherings have either been postponed, canceled, or held completely virtually. To supplement lack of in-person contact, people have increasingly turned to virtual settings online, advantages of which include increased inclusivity and accessibility and a reduced carbon footprint. However, emerging online technologies cannot fully replace in-person scientific events. In-person meetings are not susceptible to poor Internet connectivity problems, and they provide novel opportunities for socialization, creating new collaboratio…

business.product_categorySanitationCoronavirus disease 2019 (COVID-19)event1117 Public Health and Health ServicesConcepts in Disaster Medicine03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingPandemicInternet accessHumans030212 general & internal medicineResilience (network)resiliencePandemicsEventPandemicResilienceEvent (computing)business.industryStrategic Defence & Security StudiesSARS-CoV-2pandemicSocializationPublic Health Environmental and Occupational HealthCongressCOVID-19standardPublic relationsStandardcongressCarbon footprintBusinessDelivery of Health Care030217 neurology & neurosurgery
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Emergent Web Intelligence: Advanced Semantic Technologies

2010

The future of the World Wide Web depended on its ability to understand and automatically process content to enable computers and people to work in cooperation. New advanced techniques and intelligent approaches are required more than ever to transform the Web into a universal reasoning and semantic-driven computing machine. The Web intelligence discipline attempts to deal with this challenge by exploits information technologies and artificial intelligence approaches to design next generation of web-empowered systems and services. The Emergent Web Intelligence: Advanced Semantic Technologies" book provides valuable references and cuttingedge technologies for: undergraduate and postgraduate s…

Web standardsmedicine.medical_specialtyWeb developmentbusiness.industryComputer scienceData scienceSocial Semantic WebWorld Wide WebWeb designmedicineSemantic Web StackWeb intelligencebusinessWeb modelingSemantic Web
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CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology

2008

Edition des actes de la conférence, publiés par l'ACM

[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]ComputingMilieux_THECOMPUTINGPROFESSIONComputingMethodologies_DOCUMENTANDTEXTPROCESSING[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)GeneralLiterature_MISCELLANEOUS
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