DMKN Seneviratna

DMKN Seneviratna

University of Ruhuna

H-index: 10

Asia-Sri Lanka

About DMKN Seneviratna

DMKN Seneviratna, With an exceptional h-index of 10 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Ruhuna, specializes in the field of Time Series Modelling and Forecasting, Artificial Neural Networks, Grey Modelling and Forecasting.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stock Movement Prediction With Sentiment Analysis Based on Grey Exponential Smoothing Method: A Case Study on Colombo Stock Exchange, Sri Lanka.

Intelligent video surveillance mechanisms for abnormal activity recognition in real-time: a systematic literature review

Hybrid grey exponential smoothing approach for predicting transmission dynamics of the COVID-19 outbreak in Sri Lanka

Grey Exponential Smoothing and Sentiment Classification Approach for Stock Prediction Using Big Data Analytics

Grey Statistical Approach for Forecasting Electricity Demand in Sri Lanka

Grey Theory Based Approach for Time Series Forecasting

Taylor Series approximation based Unbiased GM (1, 1) Hybrid Statistical Approach for Forecasting Stock Market.

DMKN Seneviratna Information

University

Position

Department of Interdisciplinary Studies Faculty of Engineering

Citations(all)

339

Citations(since 2020)

226

Cited By

198

hIndex(all)

10

hIndex(since 2020)

7

i10Index(all)

11

i10Index(since 2020)

6

Email

University Profile Page

University of Ruhuna

Google Scholar

View Google Scholar Profile

DMKN Seneviratna Skills & Research Interests

Time Series Modelling and Forecasting

Artificial Neural Networks

Grey Modelling and Forecasting

Top articles of DMKN Seneviratna

Title

Journal

Author(s)

Publication Date

Stock Movement Prediction With Sentiment Analysis Based on Grey Exponential Smoothing Method: A Case Study on Colombo Stock Exchange, Sri Lanka.

Journal of Grey System

DMKN Seneviratna

MVDHP Malawana

RMKT Rathnayaka

2023/10/1

Intelligent video surveillance mechanisms for abnormal activity recognition in real-time: a systematic literature review

PGIM Chandrasekara

LL Gihan Chathuranga

KAA Chathurangi

DMKN Seneviratna

RMKT Rathnayaka

2023

Hybrid grey exponential smoothing approach for predicting transmission dynamics of the COVID-19 outbreak in Sri Lanka

Grey Systems: Theory and Application

DMKN Seneviratna

RM Kapila Tharanga Rathnayaka

2022/11/16

Grey Exponential Smoothing and Sentiment Classification Approach for Stock Prediction Using Big Data Analytics

DMKN Seneviratna

MVDHP Malawana

RMKT Rathnayaka

2021

Grey Statistical Approach for Forecasting Electricity Demand in Sri Lanka

DMKN Seneviratna

RM Rathnayaka

2021

Grey Theory Based Approach for Time Series Forecasting

DMKN Seneviratna

RMKT Rathnayaka

2021/3/3

Taylor Series approximation based Unbiased GM (1, 1) Hybrid Statistical Approach for Forecasting Stock Market.

Journal of Grey System

RM Rathnayaka

DMKN Seneviratna

2020/7/1

See List of Professors in DMKN Seneviratna University(University of Ruhuna)

Co-Authors

H-index: 18
Shuhua Mao

Shuhua Mao

Wuhan University of Technology

H-index: 16
R.M. Kapila Tharanga Rathnayaka

R.M. Kapila Tharanga Rathnayaka

Sabaragamuwa University of Sri Lanka

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