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
Using an attribute conversion approach for sample generation to learn small data with highly uncertain features
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Production Research"
DOI: 10.1080/00207543.2018.1444813
Abstract: Accelerating new product development has become an important marketing strategy for manufacturers who are competing globally. However, this may lead to the small data learning issue. Although machine learning algorithms are used to extract knowledge… read more here.
Keywords: highly uncertain; small data; sample generation; using attribute ... See more keywords
National Scale Land Cover Classification Using the Semiautomatic High-Quality Reference Sample Generation (HRSG) Method and an Adaptive Supervised Classification Scheme
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3241620
Abstract: The advent of new high-performance cloud computing platforms [e.g., Google Earth Engine (GEE)] and freely available satellite data provides a great opportunity for land cover (LC) mapping over large-scale areas. However, the shortage of reliable… read more here.
Keywords: classification; reference; high quality; sample generation ... See more keywords
Geometric Constraint and Image Inpainting-Based Railway Track Fastener Sample Generation for Improving Defect Inspection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3207490
Abstract: Defective fastener images detection is an essential task in the vision-based railway track safety inspection. Although existing methods have achieved some level of success, the detection accuracy in this field suffers from the defective fasteners… read more here.
Keywords: image inpainting; based railway; generation; fastener ... 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