A Machine Learning Approach Using Classifier Cascades for Optimal Routing in Opportunistic Internet of Things Networks

2019 ◽  
Author(s):  
Vidushi Vashishth ◽  
Anshuman Chhabra ◽  
Deepak Kumar Sharma
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Optimal Routing ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Optimal Pricing of Internet of Things: A Machine Learning Approach

2020 ◽  
Vol 38 (4) ◽  
pp. 669-684 ◽  
Author(s):  
Mohammad Abu Alsheikh ◽  
Dinh Thai Hoang ◽  
Dusit Niyato ◽  
Derek Leong ◽  
Ping Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Optimal Pricing ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals A Survey on Machine learning and IoT

2019 ◽  
Vol 4 (2) ◽  
pp. 99-113
Author(s):  
Inkreswari Retno Hardini
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Human Brain ◽  
Human Life ◽  
Learning Approach ◽  
Machine Learning Technique ◽  
Machine Learning Approach ◽  
Learning Technique ◽  
Application Industry

Internet of Things is an intelligence devices that can connect to any other devices. Based on that ability to connect and its intelligence, it makes people to create an intelligence device and capable to learn like human brain. To accomplish that goal, machine learning is the solution. Combination between machine learning and IoT generate a revolution in human life and application industry. The combination also generate new trend in market. Therefore, in this paper will be discuss about machine learning including machine learning technique and algorithm and also discuss about IoT including architecture and elements. Then in this paper will discuss about some researches that have already done that combine IoT with machine learning approach, including issue and challenge in those researches.

scholarly journals Machine Learning Approach to Mobile Forensics Framework for Cyber Crime Detection in Nigeria

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Ibrahim Goni ◽  
Murtala Mohammad
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Learning Algorithm ◽  
Research Work ◽  
Learning Approach ◽  
Complex Data ◽  
Cyber Crime ◽  
Mobile Forensics ◽  
Machine Learning Approach ◽  
Crime Detection

The mobile Cyber Crime detection is challenged by number of mobile devices (internet of things), large and complex data, the size, the velocity, the nature and the complexity of the data and devices has become so high that data mining techniques are no more efficient since they cannot handle Big Data and internet of things. The aim of this research work was to develop a mobile forensics framework for cybercrime detection using machine learning approach. It started when call was detected and this detection is made by machine learning algorithm furthermore intelligent mass media towers and satellite that was proposed in this work has the ability to classified calls whether is a threat or not and send signal directly to Nigerian communication commission (NCC) forensic lab for necessary action. 

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