A passive islanding detection method using deep neural bidirectional LSTM-CNN. [PDF]
Ozturk H, Nese SV.
europepmc +1 more source
Strategies for Advanced Production: A Review of the Use of AI in the Dairy Industry. [PDF]
Pérez Núñez I +7 more
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Utility over novelty: How performance expectancy converts hedonic motivation, future expectations, and price sensitivity into private e-scooter purchase intention. [PDF]
Kırçova İ +3 more
europepmc +1 more source
Chinese influence in Africa by integrated regret theory and multi-criteria decision analysis. [PDF]
Wang CN, Nhieu NL, Lu CJ.
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Coalition of explainable artificial intelligence and quantum computing in precision medicine. [PDF]
Ray S +3 more
europepmc +1 more source
Mental health assessment model for college students based on facial expression recognition. [PDF]
Chen S, Zhong C.
europepmc +1 more source
Chemical Probes in Scientific Literature: Expanding and Validating Target-Disease Evidence
Adasme MF +7 more
europepmc +1 more source
One-Phase Temporal Fuzzy Utility Mining
Temporal utility mining is complicated than utility mining due to the time consideration. The former discusses the situation that different items may have different profit values and on-shelf time periods. In this paper, we handle the problem of temporal fuzzy utility mining, which simultaneously considers the temporal factor, purchased quantities ...
Tzung-Pei Hong +2 more
exaly +4 more sources
Mining Temporal Fuzzy Utility Itemsets by Tree Structure
More complicated than fuzzy data mining, temporal fuzzy utility data mining takes into account the temporal factor of transactions, purchased quantities, item profits, and linguistic terms. In this paper, a tree structure modified from the frequent-pattern tree is designed and a mining algorithm based on it was proposed to extract high temporal fuzzy ...
Tzung-Pei Hong +2 more
exaly +4 more sources

