Cloud Resource Scaling for Big Data Streaming Applications Using a Layered Multi-dimensional Hidden Markov Model

2017 ◽  
Author(s):  
Olubisi Runsewe ◽  
Nancy Samaan
Keyword(s):  
Big Data ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Data Streaming ◽  
Streaming Applications ◽  
Cloud Resource

Machine Learning Based Big Data Processing Framework for Cancer Diagnosis Using Hidden Markov Model and GM Clustering

2017 ◽  
Vol 102 (3) ◽  
pp. 2099-2116 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
V. Vijayakumar ◽  
R. Varatharajan ◽  
Priyan Malarvizhi Kumar ◽  
Revathi Sundarasekar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Processing ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Cancer Diagnosis ◽  
Hidden Markov ◽  
Big Data Processing ◽  
Processing Framework

scholarly journals Conversion of Body Conducted Unvoiced Speech(Murmur) to Normal Speech Using Hidden Markov Model (HMM)

2018 ◽  
Vol 7 (2.32) ◽  
pp. 400
Author(s):  
T RajeshKumar ◽  
M Srinagamani ◽  
M Sai ram chandu ◽  
S Mounika
Keyword(s):  
Big Data ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov Models ◽  
Statistical Learning ◽  
Stochastic Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Data Signal ◽  
Normal Speech

The main purpose of this paper is Conversion of  non- audible murmured voice into the normal speech using Hidden Markov Model(HMM).This non audible murmur voice NAM is a one type of murmured voice which can be delivered by a NAM microphone which is attached behind the speaker’s ear. The Hidden Markov Models(HMMs) are stochastic models of statistical learning .These are very useful in speech recognition .The point of the paper is to collect as much as data from the device and convert it into audible and clear data signal that can be used for further sensory based applications. Hence, having an insight of how to convert the NAM to speech and then to whisper has a lot of benefits while keeping in mind the disadvantages of such conversion. Since, NAM is minute details of a communication between one’s own self it is highly recommended to the data in as much as discrete format as necessary since a speech signal can have various frequencies over a portion of the signal, big data approach is recommended. 

scholarly journals Research on students’ classroom behavior based on big data analysis and hidden Markov model

2021 ◽  
Vol 1873 (1) ◽  
pp. 012084
Author(s):  
Mingwei Tang ◽  
Xiaoliang Chen ◽  
Hongyun Mao ◽  
Tian Yang ◽  
Jianhua Xie ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Classroom Behavior ◽  
Hidden Markov ◽  
Big Data Analysis ◽  
Behavior Based
Sign in / Sign up

Export Citation Format

Share Document