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Dr Jayadeep Pati

vidwan id: 193839
Male

Assistant Professor, Department of Computer Science and Engineering
Indian Institute of Information Technology, Ranchi

Expertise

  • Computer Science Information Systems

Publications

Total Articles 22
Books 0
Proceedings 0

Publications

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Scopus

Citations 179
h-index 7

CrossRef

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Citations 71
h-index 4
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Bio

Applied Machine Learning, Software Engineering, Data Science

Personal Details

  • Male
  • Assistant Professor , Indian Institute of Information Technology, Ranchi
  • Indian Institute of Information Technology, Ranchi, Khojatoli, Namkum
Ph.D
Other Institute 2017
Assistant Professor Dec 2018 – Present
Indian Institute of Information Technology, Ranchi | Department of Computer Science and Engineering

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A DEVICE FOR MODELLING SOFTWARE CLONE EVOLUTION ACROSS DIFFERENT VERSIONS AND A METHOD THEREOF

INDIAN INSTITUTE OF TECHNOLOGY (BANARAS HINDU UNIVERSITY)
VARANASI
Engineering and Technology Application No. : 201811016656 A Filed : 02-05-2018
Published : 08-11-2019 Published

A DEVICE FOR MODELLING SOFTWARE CLONE EVOLUTION ACROSS DIFFERENT VERSIONS AND A METHOD THEREOF

201811016656
Engineering and Technology Patent No. : 434385 Filed : 02-05-2018
Published : 08-11-2019 Granted

Scholarly Publications

Comparative Evaluating of Machine Learning Classifiers through Sentiment Analysis to Detect Emotions Using TF-IDF

Open Access
Conference Paper
Authors: Kayal M.;Sahoo M.;Pati J.;Singh L.K.;Mohana R.;Singh R.

Quantum-Inspired Aspect-Based Sentiment Analysis Using Natural Language Processing

Open Access
Book Chapter

Review on Mental Healthcare System Using Data Analytics and IoT

Open Access
Conference Paper

Classification of arsenic in groundwater samples using extreme learning machine and crow search algorithm for smart cities

Open Access
Book Chapter
Authors: Kumar S.;Dhillon H.S.;Chattopadhyay A.;Pati J.

Machine learning approach for assessment of arsenic levels using physicochemical properties of water, soil, elevation, and land cover

Open Access
Article

Machine learning approach for assessment of arsenic levels using physicochemical properties of water, soil, elevation, and land cover

Open Access
article

The machine learning and geostatistical approach for assessment of arsenic contamination levels using physicochemical properties of water

Open Access
Article

Assessment of groundwater arsenic contamination level in Jharkhand, India using machine learning

Open Access
Article