Rodyti trumpą aprašą

dc.contributor.authorKalibatienė, Diana
dc.contributor.authorMiliauskaitė, Jolanta
dc.date.accessioned2023-09-18T16:25:59Z
dc.date.available2023-09-18T16:25:59Z
dc.date.issued2022
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/113888
dc.description.abstractNowadays, growing environmental pollution and human intervention in nature have increased the need to study and monitor these adverse effects in marine waters. Therefore, intelligent marine monitoring approaches with artificial intelligence (AI) methods are needed. Consequently, the main research questions arise how are AI and intelligent technologies applied in marine monitoring systems? How does it contribute to the sustainable development of the environment? To answer these questions, this paper presents the results of the systematic mapping (SM) of papers from Web of Science (WoS) and Scopus databases and develops a keyword map. SM results show that AI techniques are applied in the control, decision, simulation, and optimization of renewable energy in marine systems. The main finding is presented in the form of the keywords map, which indicates the main trends of sustainable development in renewable energy of marine systems applying AI. However, the effective application of AI techniques for sustainable development of energy in marine system should be analyzed further in detail.eng
dc.formatPDF
dc.format.extentp. 1-6
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://icnae.selcuk.edu.tr/ICNAE_Proceedings.pdf
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:144545780/datastreams/MAIN/content
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:144545780/datastreams/COVER/content
dc.titleA survey on machine learning and fuzzy approaches for renewable energy in marine systems
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references21
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.studydirectionB04 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enfuzzy
dc.subject.enmachine learning
dc.subject.ensustainable development
dc.subject.enmarine
dc.subject.enbuoys
dc.subject.enrenewable energy
dcterms.sourcetitle1 st International conference on new approaches in engineering (ICNAE'22), October 6-7, 2022, Konya, Turkey : proceedings
dc.publisher.nameSelcuk University
dc.publisher.cityKonya
dc.identifier.elaba144545780


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