Exploring Machine Learning in IoT Smart Home Automation
The Internet of Things (IoT) has evolved in these years. Various types of organizations, industries, research domains and almost all types of intelligent future applications are utilizing the advantages of IoT. These applications include smart homes, smart cities, smart infrastructure smart communit...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38886/ http://umpir.ump.edu.my/id/eprint/38886/1/Exploring_Machine_Learning_in_IoT_Smart_Home_Automation.pdf http://umpir.ump.edu.my/id/eprint/38886/2/2Abstact%20from%20Article2.docx |
| _version_ | 1848825625136070656 |
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| author | Waseem, Quadri Wan Isni Sofiah, Wan Din Azamuddin, Abdul Rahman Nisar, Kasif |
| author_facet | Waseem, Quadri Wan Isni Sofiah, Wan Din Azamuddin, Abdul Rahman Nisar, Kasif |
| author_sort | Waseem, Quadri |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The Internet of Things (IoT) has evolved in these years. Various types of organizations, industries, research domains and almost all types of intelligent future applications are utilizing the advantages of IoT. These applications include smart homes, smart cities, smart infrastructure smart communities, smart healthcare, smart agriculture and many more. “Smart Homes” has emerged as one the latest Internet of Things (IoT) applications known to automate household equipment's using remote or automated functioning from remote locations to improve the quality of life for its inhabitants. For a smart home system to function effectively, the machine learning (ML) implementation must go beyond basic remote control and simple automation. To fully realize its potential and provide homeowners with tremendous and unexpected benefits, more research and development in the fields of machine intelligence and smart home automation are required. In this research work, we aim to traverse ML in IoT smart home automation by classifying the home automation applications. We propose a taxonomy of machine learning (ML) for smart homes based on its application. This research also includes related surveys and literature reviews along with open challenges and issues as well as future directions in detail. |
| first_indexed | 2025-11-15T03:31:54Z |
| format | Conference or Workshop Item |
| id | ump-38886 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:31:54Z |
| publishDate | 2023 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-388862023-10-18T07:36:12Z http://umpir.ump.edu.my/id/eprint/38886/ Exploring Machine Learning in IoT Smart Home Automation Waseem, Quadri Wan Isni Sofiah, Wan Din Azamuddin, Abdul Rahman Nisar, Kasif QA Mathematics QA76 Computer software T Technology (General) The Internet of Things (IoT) has evolved in these years. Various types of organizations, industries, research domains and almost all types of intelligent future applications are utilizing the advantages of IoT. These applications include smart homes, smart cities, smart infrastructure smart communities, smart healthcare, smart agriculture and many more. “Smart Homes” has emerged as one the latest Internet of Things (IoT) applications known to automate household equipment's using remote or automated functioning from remote locations to improve the quality of life for its inhabitants. For a smart home system to function effectively, the machine learning (ML) implementation must go beyond basic remote control and simple automation. To fully realize its potential and provide homeowners with tremendous and unexpected benefits, more research and development in the fields of machine intelligence and smart home automation are required. In this research work, we aim to traverse ML in IoT smart home automation by classifying the home automation applications. We propose a taxonomy of machine learning (ML) for smart homes based on its application. This research also includes related surveys and literature reviews along with open challenges and issues as well as future directions in detail. IEEE 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38886/1/Exploring_Machine_Learning_in_IoT_Smart_Home_Automation.pdf pdf en http://umpir.ump.edu.my/id/eprint/38886/2/2Abstact%20from%20Article2.docx Waseem, Quadri and Wan Isni Sofiah, Wan Din and Azamuddin, Abdul Rahman and Nisar, Kasif (2023) Exploring Machine Learning in IoT Smart Home Automation. In: 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS) , 25-27 Aug. 2023 , Penang, Malaysia. pp. 1-6.. ISBN 979-8-3503-1093-1 (Published) https://doi.org/10.1109/ICSECS58457.2023.10256283 |
| spellingShingle | QA Mathematics QA76 Computer software T Technology (General) Waseem, Quadri Wan Isni Sofiah, Wan Din Azamuddin, Abdul Rahman Nisar, Kasif Exploring Machine Learning in IoT Smart Home Automation |
| title | Exploring Machine Learning in IoT Smart Home Automation |
| title_full | Exploring Machine Learning in IoT Smart Home Automation |
| title_fullStr | Exploring Machine Learning in IoT Smart Home Automation |
| title_full_unstemmed | Exploring Machine Learning in IoT Smart Home Automation |
| title_short | Exploring Machine Learning in IoT Smart Home Automation |
| title_sort | exploring machine learning in iot smart home automation |
| topic | QA Mathematics QA76 Computer software T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/38886/ http://umpir.ump.edu.my/id/eprint/38886/ http://umpir.ump.edu.my/id/eprint/38886/1/Exploring_Machine_Learning_in_IoT_Smart_Home_Automation.pdf http://umpir.ump.edu.my/id/eprint/38886/2/2Abstact%20from%20Article2.docx |