Cover Image

Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study

Saved in:
Bibliographic Details
Main Authors: Azad, Abdus Samad, Sokkalingam, Rajalingam, Daud, Hanita, Adhikary, Sajal Kumar
Format: Conference or Workshop Item
Published: 2022
Online Access:http://scholars.utp.edu.my/id/eprint/36705/
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scholars.utp.edu.my:36705
record_format eprints
spelling oai:scholars.utp.edu.my:367052023-07-28T02:19:02Z http://scholars.utp.edu.my/id/eprint/36705/ Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study Azad, Abdus Samad Sokkalingam, Rajalingam Daud, Hanita Adhikary, Sajal Kumar 2022 Conference or Workshop Item NonPeerReviewed Azad, Abdus Samad and Sokkalingam, Rajalingam and Daud, Hanita and Adhikary, Sajal Kumar (2022) Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study. In: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Conference or Workshop Item
author Azad, Abdus Samad
Sokkalingam, Rajalingam
Daud, Hanita
Adhikary, Sajal Kumar
spellingShingle Azad, Abdus Samad
Sokkalingam, Rajalingam
Daud, Hanita
Adhikary, Sajal Kumar
Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study
author_facet Azad, Abdus Samad
Sokkalingam, Rajalingam
Daud, Hanita
Adhikary, Sajal Kumar
author_sort Azad, Abdus Samad
title Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study
title_short Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study
title_full Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study
title_fullStr Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study
title_full_unstemmed Application Water Level Prediction Through Seasonal Autoregressive Integrated Moving Average: Red Hills Reservoir Case Study
title_sort application water level prediction through seasonal autoregressive integrated moving average: red hills reservoir case study
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/36705/
_version_ 1772814399290998784
score 13.222552

Similar Items