Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators

The Internet of Things (IoT) is becoming more critical as time passes by. The use of IoT-related products helps to reduce human effort and can provide the highest possible quality at a minimum of time. Solar dryer is one of the uses of IoT in the agricultural sector for the drying of goods. This stu...

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Main Author: Javaid, Anam
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/52547/1/Pages%20from%20Final%20thesis%20file%20with%20password.pdf
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author Javaid, Anam
author_facet Javaid, Anam
author_sort Javaid, Anam
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description The Internet of Things (IoT) is becoming more critical as time passes by. The use of IoT-related products helps to reduce human effort and can provide the highest possible quality at a minimum of time. Solar dryer is one of the uses of IoT in the agricultural sector for the drying of goods. This study focuses on the identification of factors affecting the collector’s solar dryer efficiency and the removal of seaweed moisture ratio. The Standard Operational Procedure (SOP) is provided on the basis of four Phases for this purpose. A hybrid model based on a sparse and robust regression analysis is intended for this purpose. Six types of hybrid estimators are developed using sparse and robust estimators and the best combination is selected for the medium and large data set. Interaction effects in all possible models are primarily addressed in this study.
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spelling usm.eprints-525472022-05-20T02:03:38Z http://eprints.usm.my/52547/ Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators Javaid, Anam QA1 Mathematics (General) The Internet of Things (IoT) is becoming more critical as time passes by. The use of IoT-related products helps to reduce human effort and can provide the highest possible quality at a minimum of time. Solar dryer is one of the uses of IoT in the agricultural sector for the drying of goods. This study focuses on the identification of factors affecting the collector’s solar dryer efficiency and the removal of seaweed moisture ratio. The Standard Operational Procedure (SOP) is provided on the basis of four Phases for this purpose. A hybrid model based on a sparse and robust regression analysis is intended for this purpose. Six types of hybrid estimators are developed using sparse and robust estimators and the best combination is selected for the medium and large data set. Interaction effects in all possible models are primarily addressed in this study. 2020-11 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/52547/1/Pages%20from%20Final%20thesis%20file%20with%20password.pdf Javaid, Anam (2020) Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA1 Mathematics (General)
Javaid, Anam
Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
title Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
title_full Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
title_fullStr Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
title_full_unstemmed Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
title_short Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
title_sort efficient model selectionn through standard operating procedure using hybrid of sparse and robust estimators
topic QA1 Mathematics (General)
url http://eprints.usm.my/52547/1/Pages%20from%20Final%20thesis%20file%20with%20password.pdf
work_keys_str_mv AT javaidanam efficientmodelselectionnthroughstandardoperatingprocedureusinghybridofsparseandrobustestimators