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:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/52547/1/Pages%20from%20Final%20thesis%20file%20with%20password.pdf
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id	my-usm-ep.52547
record_format	uketd_dc
spelling	my-usm-ep.525472022-05-20T02:03:38Z Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators 2020-11 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 http://eprints.usm.my/52547/ http://eprints.usm.my/52547/1/Pages%20from%20Final%20thesis%20file%20with%20password.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Javaid, Anam Efficient Model Selectionn Through Standard Operating Procedure Using Hybrid Of Sparse And Robust Estimators
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.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Javaid, Anam
author_facet	Javaid, Anam
author_sort	Javaid, Anam
title	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_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_sort	efficient model selectionn through standard operating procedure using hybrid of sparse and robust estimators
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2020
url	http://eprints.usm.my/52547/1/Pages%20from%20Final%20thesis%20file%20with%20password.pdf
_version_	1747822189556531200

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

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