Search Results - subject:"Machine Learning Algorithm"

Development of a cost optimal predictive maintenance strategy

Weeber, Christoph - In: Junior Management Science (JUMS) 9 (2024) 3, pp. 1805-1835

, this thesis combines all aspects in one approach, from Machine Learning algorithm selection and RUL prediction, to the …

Persistent link: https://www.econbiz.de/10015084778

Optimizing aspect-based sentiment analysis using sentence embedding transformer, Bayesian search clustering, and sparse attention mechanism

Marutho, Dhendra; Muljono; Rustad, Supriadi; Purwanto - In: Journal of open innovation : technology, market, and … 10 (2024) 1, pp. 1-19

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such reviews encompass a range of expressions that extend beyond simple positive, negative, or neutral sentiments, delving into specific aspects discussed within the review. For...

Persistent link: https://www.econbiz.de/10014518821

Destination competitiveness research over the past three decades : a computational literature review using topic modelling

Xia, Haiyang; Muskat, Birgit; Karl, Marion; Li, Gang; … - In: Journal of travel and tourism marketing 41 (2024) 5, pp. 726-742

Persistent link: https://www.econbiz.de/10014566296

Development of a cost optimal predictive maintenance strategy

Weeber, Christoph - In: Junior management science 9 (2024) 3, pp. 1805-1835

, this thesis combines all aspects in one approach, from Machine Learning algorithm selection and RUL prediction, to the …

Persistent link: https://www.econbiz.de/10015064275

How are texts analyzed in blockchain research? : a systematic literature review

Zhuo, Xian; Irresberger, Felix; Bostandzic, Denefa - In: Financial innovation : FIN 10 (2024), pp. 1-35

This paper provides a systematic literature review of text analysis methodologies used in blockchain-related research to comprehend and synthesize existing studies across disciplines and define future research directions. We summarize the research scope, text data, and methodologies of 124...

Persistent link: https://www.econbiz.de/10015372563

Forecasting 2030 CO2 reduction targets for Russia as a major emitter using different estimation scenarios

Gurbanov, Sarvar; Mikayilov, Jeyhun I.; Mukhtarov, Shahriyar - In: Journal of Applied Economics 26 (2023) 1, pp. 1-26

This study firstly analyzes the impact of energy intensities and income on CO2 emissions in Russia, applying different estimation methods to the data period from 1990 to 2020. In addition, the study forecasts CO2 emissions considering 2030 targets under different assumptions and assesses the...

Persistent link: https://www.econbiz.de/10015334076