Reinforcement Aided Latent Temporal Feature Transfer Learning: Time Series Prediction With Insufficient Labeled Data for Industrial Chemical Process
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3492707
Abstract: Time series data of industrial chemical process are typically collected in two ways: distributed control system (DCS) and laboratory test. With the popularity of DCS, a large amount of industrial chemical process monitoring data can… read more here.
Keywords: temporal feature; latent temporal; chemical process; industrial chemical ... See more keywords
Constructing the Indicators of Assessing Human Vulnerability to Industrial Chemical Accidents: A Consensus-based Fuzzy Delphi and Fuzzy AHP Approach
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DOI: 10.1371/currents.dis.526884afe308f8876dce69c545357ecd
Abstract: Introduction: Industrial chemical accidents have been increased in developing countries. Assessing the human vulnerability in the residents of industrial areas is necessary for reducing the injuries and causalities of chemical hazards. The aim of this… read more here.
Keywords: human vulnerability; chemical accidents; vulnerability; fuzzy delphi ... See more keywords
Time of nitrogen supply in yield, industrial and chemical quality of oat grains
Sign Up to like & getrecommendations! Published in 2020 at "Revista Brasileira de Engenharia Agricola e Ambiental"
DOI: 10.1590/1807-1929/agriambi.v24n10p700-706
Abstract: ABSTRACT The timing of nitrogen application in oats can improve the efficiency of use of the nutrient and the expression of productivity and quality of grains. The objective of the study was to indicate the… read more here.
Keywords: time; quality; yield; supply ... See more keywords