인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Artificial intelligence (AI) is increasingly being used today to provide solutions to many environmental problems. This is because of AI’s capability over empirical measurement and conventional computational techniques. This work therefore aim to review publications on AI applications in environmental research field. Literature was search for in Scopus database using Boolean-keyword operators. Among others, the study objectives include identifying evolution of the publications on AI within environmental research domain; their research themes and trends. Mixed-methods (qualitative and quantitative analysis) was adopted for the study, and they comprise bibliometric, text-mining and content analysis. 797 suitable publications were included in the study. Result shows 83% of the included publications in our dataset were published between 2018 and 2024. By checking through authors’ keywords, it appears that recent and popular research interest is being paid to areas such as industry 4.0, smart cities, thermal comfort, circular economy, environmental monitoring, carbon emissions and others. Text-mining of the dataset shows that most frequently used ML technique is Artificial Neural network (ANN), followed by Support Vector Machine (SVM). Text-mining also identified three major themes from the publications on AI within environmental research. They are (i) ecological decision support system (DSS), for detection, prediction and analysis of changes in ecological aspects for evidence-based decisions; (ii) sustainability transitions, illustrated by circular economy, industry 4.0, sustainable supply chains, and (iii) pollution monitoring/-***- and treatment. Eleven major research themes were also identified from bibliographic coupling of the publications within the dataset. The study results could provide a basis for future areas of interests within environmental research.
#Scopus
#Computer science
#Support vector machine
#Environmental pollution
#Content analysis
#Field (mathematics)
#Data science
#Sustainability
#Domain (mathematical analysis)
#Bibliometrics
#Artificial intelligence
#Empirical research
#Data mining
#Political science
#Social science
#Geography
#Ecology
#Sociology
#MEDLINE
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