Regression analysis of aerosol optical properties with long-term MODIS data using forward selection method
Sign Up to like & getrecommendations! Published in 2018 at "Meteorology and Atmospheric Physics"
DOI: 10.1007/s00703-018-0625-2
Abstract: In this work, a new filtering method of forward selection (FS), has been employed for linear and multiple regression analysis of aerosol optical properties with meteorological parameters using long-term moderate resolution imaging spectroradiometer (MODIS) data… read more here.
Keywords: regression analysis; forward selection; long term; analysis ... See more keywords
Forward Selection Component Variable and Dynamic Inner Manifold Learning for Process Monitoring
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3590854
Abstract: A novel dynamic inner manifold learning algorithm based on forward selection component variables (FSV-DiML) is proposed for industrial process monitoring. The method begins with forward selection component analysis (FSCA) to select monitoring variables, effectively removing… read more here.
Keywords: process; selection component; forward selection; dynamic inner ... See more keywords
An efficient intrusion detection systems in fog computing using forward selection and BiLSTM
Sign Up to like & getrecommendations! Published in 2024 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v13i4.7143
Abstract: Intrusion detection systems (IDS) play a pivotal role in network security and anomaly detection and are significantly impacted by the feature selection (FS) process. As a significant task in machine learning and data analysis, FS… read more here.
Keywords: detection; forward selection; intrusion detection; bilstm ... See more keywords