A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.04.007
Abstract: Due to the imbalanced and uncompleted characteristics of complex petrochemical small datasets, it is a challenge to build an accurate prediction and optimization model of energy consumption of petrochemical systems. Therefore, this paper proposes a… read more here.
Keywords: virtual sample; sample generation; energy; small data ... See more keywords
Virtual-sample-based defect detection algorithm for aluminum tube surface
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abf865
Abstract: A surface defect is an important factor that affects product quality. However, due to the large differences in area of different surface defects, and noise on various surfaces, defect detection is challenging. The convolutional neural… read more here.
Keywords: sample based; virtual sample; detection; defect detection ... See more keywords
Application of Virtual Sample Generation and Screening in Process Parameter Optimization of Botanical Medicinal Materials.
Sign Up to like & getrecommendations! Published in 2023 at "Current topics in medicinal chemistry"
DOI: 10.2174/1568026623666230117121531
Abstract: BACKGROUND The small sample problem widely exists in the fields of the chemical industry, chemistry, biology, medicine, and food industry. It has been a problem in process modeling and system optimization. The aim of this… read more here.
Keywords: sample; virtual sample; chemistry; size ... See more keywords