
National Workshop on Design Challenges in IoT and Machine Learning 2019
MEET YOUR MOMENT.
About the event
Rapid developments in hardware, software, and communication technologies have allowed the emergence of Internet-connected sensory devices hat provide observation and data measurement from the physical world. Internet-connected devices technology, continues to extend the current Internet by providing connectivity and interaction between the physical and cyber worlds. In addition to increased volume, the IoT generates Big Data characterized by velocity in terms of time and location dependency, with a variety of multiple modalities and varying data quality. This workshop discusses the different machine learning methods that deal with the challenges in IoT data. The potential and challenges of machine learning for IoT
data analytics will also be discussed. This would be a great platform for the interaction of students with reputed scientists and academicians. It also opens up vistas by disseminating the recent research for industrial applications. Further, it paves way for industrialists to innovate modern products which helps in ease of processing and help for the societal development.
Events & highlights
Ÿ An Introduction to IoT
Ÿ An Introduction to Machine Learning and its Algorithms
Ÿ Unsupervised Algorithms for IoT Analysis(From Modeling to visualization)
· KMeans Clustering
· KNN Algorithms
Ÿ Supervised Algorithms for IoT(From Modeling to Visualization)
· Bayesian Classiier
· Support Vector Machine
Ÿ Boosting Algorithms for IoT(From Modeling to Visualization)
Meet the organizer
Explore Sri Ramakrishna Institute of Technology ↗Event type details
National Workshop
Guests
Mr.D.Rajkumar,Application Engineer
DesignTech System Ltd., Chennai
Ÿ Dr.L.S.Jayashree, Professor / CSE
PSG college of Technology, Coimbatore
Ÿ Dr. T. Senthil Kumar, Associate Professor / CSE
Amrita Vishwa Vidyapeetham, Coimbatore
Paper Presentation Topics by Branch
Ÿ An Introduction to IoT
Ÿ An Introduction to Machine Learning and its
Algorithms
Ÿ Unsupervised Algorithms for IoT Analysis(From
Modeling to visualization)
· KMeans Clustering
· KNN Algorithms
Ÿ Supervised Algorithms for IoT(From Modeling to
Visualization)
· Bayesian Classiier
· Support Vector Machine
Ÿ Boosting Algorithms for IoT(From Modeling to
Visualization)
Registration deadline / Important dates
Last date for the Registration 18/1/2019
Registration Fees
External Participants ` 300/
How to Reach
BY PUBLIC BUS
Accommodation Details
ON NEEDED BASE- PAYMENT
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