The Role of Machine Learning Techniques in Internet of Things-Based Cloud Applications

2022 ◽  
pp. 105-135
Author(s):  
Shashvi Mishra ◽  
Amit Kumar Tyagi
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Cloud Applications

Stress Detection Using Machine Learning Classifiers in Internet of Things Environment

2019 ◽  
Vol 16 (10) ◽  
pp. 4214-4219
Author(s):  
Richa Sharma ◽  
Shalli Rani ◽  
Deepali Gupta
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Recommender Systems ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Smart Healthcare ◽  
Learning Techniques ◽  
Internet Of Things Environment ◽  
Novel Applications

Over the years, Recommender systems have emerged as a means to provide relevant content to the users, be it in the field of entertainment, social-network, health, education, travel, food or tourism. Further,with the expeditious development of Big Data and Internet of Things (IoT), technology has successfully associated with our everyday life activities with smart healthcare being one. The global acceptance towards smart watches, wearable devices or wearable biosensors have paved the way for the evolution of novel applications for personalized eHealth and mHealth technologies. The data gathered by wearables can further be interpreted using Machine learning algorithms and shared with healthcare experts to provide suitable recommendations. In this work, we study the role of recommender systems in IoT and Cloud and vice-versa. Further, we have analyzed the performance of different machine learning techniques on SWELL dataset. Based on the results, it is observed that 2 Class Neural network performs the best with 98% accuracy.

Machine Learning Techniques for Underwater Wireless Sensor Networks

2021 ◽  
pp. 194-211
Author(s):  
Deepti Rani ◽  
Anju Sangwan ◽  
Anupma Sangwan ◽  
Tajinder Singh
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Information Seeking ◽  
Complex Problem ◽  
Machine Learning Techniques ◽  
Wireless Sensor ◽  
Learning Techniques ◽  
Primary Focus

With the enormous growth of sensor networks, information seeking from such networks has become an invaluable source of knowledge for various organizations to enhance the comprehension of people interests. Not only wireless sensor networks (WSNs) but its various classes also remain the hot topics of research. In this chapter, the primary focus is to understand the concept of sensor network in underwater scenario. Various mechanisms are used to recognize the activities underwater using sensor which examines the real-time events. With these features, a few challenges are also associated with sensor networks, which are addressed here. Machine learning (ML) techniques are the perfect key of success to resolve such issues due to their feasibility and adaption in complex problem environment. Therefore, various ML techniques have been explained to enhance the operational performance of WSNs, especially in underwater WSNs (UWSNs). The main objective of this chapter is to understand the concepts of UWSNs and role of ML to address the performance issues of UWSNs.

Role of data mining and machine learning techniques in medical imaging

2020 ◽  
Vol 15 (3) ◽  
pp. 340
Author(s):  
Abhishek Agnihotri ◽  
Vikash Yadav ◽  
Vandana Dixit Kaushik
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Medical Imaging ◽  
Machine Learning Techniques ◽  
Learning Techniques

Analysis of internet of things malware using image texture features and machine learning techniques

2020 ◽  
Vol 9 ◽  
pp. 100153 ◽  
Author(s):  
Evanson Mwangi Karanja ◽  
Shedden Masupe ◽  
Mandu Gasennelwe Jeffrey
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Texture Features ◽  
Machine Learning Techniques ◽  
Image Texture ◽  
Learning Techniques

Potential role of machine learning techniques for modeling the hardness of OPH steels

2020 ◽  
pp. 101806
Author(s):  
Omid Khalaj ◽  
Moslem Ghobadi ◽  
Alireza Zarezadeh ◽  
Ehsan Saebnoori ◽  
Hana Jirková ◽  
...  
Keyword(s):  
Machine Learning ◽  
Potential Role ◽  
Machine Learning Techniques ◽  
Learning Techniques

scholarly journals Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-3 ◽  
Author(s):  
David Gil ◽  
Magnus Johnsson ◽  
Higinio Mora ◽  
Julian Szymanski
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Internet Of Things ◽  
Machine Learning Techniques ◽  
Learning Techniques
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