Rajalingam Sokkalingam

According to our database, Rajalingam Sokkalingam authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Log-Kumaraswamy distribution: its features and applications.

Aliyu Ismail Ishaq, Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Mahmod Othman, Rajalingam Sokkalingam, Pitchaya Wiratchotisatian, Abdullahi Garba Usman, Sani Isah Abba

Frontiers Appl. Math. Stat., 2023

Intelligent Hybrid ARIMA-NARNET Time Series Model to Forecast Coconut Price.

Abdullah, Richard Manu Nana Yaw Sarpong-Streetor, Rajalingam Sokkalingam, Mahmod Othman, Abdus Samad Azad, Gunawan Syahrantau, Yusriwarti, Zainal Arifin

IEEE Access, 2023

2022

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

Abdus Samad Azad, Rajalingam Sokkalingam, Hanita Daud, Sajal Kumar Adhikary

Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022

2020

Predicting Daily Air Pollution Index Based on Fuzzy Time Series Markov Chain Model.

Yousif Alyousifi, Mahmod Othman, Rajalingam Sokkalingam, Ibrahima Faye, Petrônio C. L. Silva

Symmetry, 2020

Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution.

Yousif Alyousifi, Mahmod Othman, Ibrahima Faye, Rajalingam Sokkalingam, Petrônio C. L. Silva

Int. J. Fuzzy Syst., 2020

2019

Type 2 Fuzzy Inference-Based Time Series Model.

Nur Fazliana Rahim, Mahmod Othman, Rajalingam Sokkalingam, Evizal Abdul Kadir

Symmetry, 2019

2018

Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method.

Nur Fazliana Rahim, Mahmod Othman, Rajalingam Sokkalingam, Evizal Abdul Kadir

IEEE Access, 2018