A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing
The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the applications of algorithms used in the field...
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| Format: | Article |
| Language: | English |
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Tikrit University
2024-02-01
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| Series: | Tikrit Journal of Pure Science |
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| Online Access: | https://tjpsj.org/index.php/tjps/article/view/1618 |
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| author | Hardi Sabah Talabani Ihsan Hamza Jumaa |
| author_facet | Hardi Sabah Talabani Ihsan Hamza Jumaa |
| author_sort | Hardi Sabah Talabani |
| collection | DOAJ |
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The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the applications of algorithms used in the field of machine learning are available due to the high accuracy that characterizes these applications and the margin of safety that these techniques offer. As a result, scientific research for these applications is increasing every day and leads to different results for these applications in different areas of the Internet of Things and its multiple uses. This study presents an analysis of machine learning techniques and the need for ML and its types. The article focuses on current research on the integration of IoT with cloud computing technology and the benefits of linking cloud computing techniques with IoT systems. An overview of different machine learning algorithms like SVM and neural network algorithms like ANN are discussed. Deep learning algorithms; CNN, RNN, and ensemble learning techniques are reviewed in terms of developed models, goals, applications, and the results achieved. The study offers a comparative analysis of the application of different ML and deep learning algorithms.
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| format | Article |
| id | doaj-art-42b83e9a95ad432db65d2ca9984b0905 |
| institution | Kabale University |
| issn | 1813-1662 2415-1726 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Pure Science |
| spelling | doaj-art-42b83e9a95ad432db65d2ca9984b09052025-08-20T03:50:21ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262024-02-0129110.25130/tjps.v29i1.1618A Review of Various Machine Learning Techniques and its Application on IoT and Cloud ComputingHardi Sabah Talabani0Ihsan Hamza Jumaa1Computer Department, College of Science, Charmo University, Sulaimaniyah, IraqInformation Technology Department, Rwandz Privet Technical Institute, Irbil, Iraq The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the applications of algorithms used in the field of machine learning are available due to the high accuracy that characterizes these applications and the margin of safety that these techniques offer. As a result, scientific research for these applications is increasing every day and leads to different results for these applications in different areas of the Internet of Things and its multiple uses. This study presents an analysis of machine learning techniques and the need for ML and its types. The article focuses on current research on the integration of IoT with cloud computing technology and the benefits of linking cloud computing techniques with IoT systems. An overview of different machine learning algorithms like SVM and neural network algorithms like ANN are discussed. Deep learning algorithms; CNN, RNN, and ensemble learning techniques are reviewed in terms of developed models, goals, applications, and the results achieved. The study offers a comparative analysis of the application of different ML and deep learning algorithms. https://tjpsj.org/index.php/tjps/article/view/1618Machine LearningML ApplicationDeep Learning IoTSVMANNCNN |
| spellingShingle | Hardi Sabah Talabani Ihsan Hamza Jumaa A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing Tikrit Journal of Pure Science Machine Learning ML Application Deep Learning IoT SVM ANN CNN |
| title | A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing |
| title_full | A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing |
| title_fullStr | A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing |
| title_full_unstemmed | A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing |
| title_short | A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing |
| title_sort | review of various machine learning techniques and its application on iot and cloud computing |
| topic | Machine Learning ML Application Deep Learning IoT SVM ANN CNN |
| url | https://tjpsj.org/index.php/tjps/article/view/1618 |
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