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Anand Paul

Biographic Data

ID9438476
NAMEAnand Paul
GIVEN NAMESAnand
FAMILY NAMEPaul
SIGNATUREPAUL A
AFFILIATIONSKyungpook National University
ORCID0000-0002-0737-2021
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Smart traffic control

    Open Access•M Mazhar Rathore, Anand Paul et al.•ARTICLE•Sustainable Cities and Society•2021

  • Social, mobile, analytic and cloud technologies

    Open Access•Anand Nayyar, Sara Paiva et al.•ARTICLE•Sustainable Cities and Society•2021

  • Missing Data Imputation for Geolocation-based Price Prediction Using KNN–MCF Method

    Open Access•Karshiev Sanjar, Olimov Bekhzod et al.•ARTICLE•ISPRS International Journal of…•2020

    Accurate house price forecasts are very important for formulating national economic policies. In this paper, we offer an effective method to predict houses’ sale prices. Our algorithm includes one-hot encoding to convert text data into numeric data, feature correlation to select only the most correlated variables, and a technique to overcome the missing data. Our approach is an effective way to handle missing data in large datasets with the K-nea…

  • Internet of Things

    Open Access•Anand Paul, Rathinaraja Jeyaraj•ARTICLE•Human Behavior and Emerging…•2019

  • Retracted

    Open Access•Sadia Din, Anand Paul et al.•ARTICLE•Sustainable Cities and Society•2019

  • Exploiting IoT and big data analytics

    Open Access•M Mazhar Rathore, Anand Paul et al.•ARTICLE•Sustainable Cities and Society•2018

No prominent works on this page.

  • Exploiting IoT and big data analytics

    Open Access•M Mazhar Rathore, Anand Paul et al.•ARTICLE•Sustainable Cities and Society•2018

  • Internet of Things

    Open Access•Anand Paul, Rathinaraja Jeyaraj•ARTICLE•Human Behavior and Emerging…•2019

  • Retracted

    Open Access•Sadia Din, Anand Paul et al.•ARTICLE•Sustainable Cities and Society•2019

  • Missing Data Imputation for Geolocation-based Price Prediction Using KNN–MCF Method

    Open Access•Karshiev Sanjar, Olimov Bekhzod et al.•ARTICLE•ISPRS International Journal of…•2020

    Accurate house price forecasts are very important for formulating national economic policies. In this paper, we offer an effective method to predict houses’ sale prices. Our algorithm includes one-hot encoding to convert text data into numeric data, feature correlation to select only the most correlated variables, and a technique to overcome the missing data. Our approach is an effective way to handle missing data in large datasets with the K-nea…

  • Smart traffic control

    Open Access•M Mazhar Rathore, Anand Paul et al.•ARTICLE•Sustainable Cities and Society•2021

  • Social, mobile, analytic and cloud technologies

    Open Access•Anand Nayyar, Sara Paiva et al.•ARTICLE•Sustainable Cities and Society•2021

Computer Science (6 works) · Internet of Things (4 works) · IoT and Edge/Fog Computing (4 works) · Engineering (3 works) · World Wide Web (3 works) · Artificial Intelligence (2 works) · Computer security (2 works) · Data mining (2 works) · Data science (2 works) · Human Mobility and Location-Based Analysis (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae