Seneviratna, D. M. K. N.; Rathnayaka, R.M. Kapila Tharanga(Emerald, 2021)
Purpose – The Coronavirus (COVID-19) is one of the major pandemic diseases caused by a newly discovered virus that has been directly affecting the human respiratory system. Because of the gradually increasing magnitudeof ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Jianguo, Wei(Rajarata University of Sri lanka, 2016)
As a developing market, the high volatile fluctuations with instability patterns are the common phenomenon in the Colombo Stock Exchange of Sri Lanka. The miscellaneous type of micro and macro-economic conditions directly ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Jianguo, Wei(Emerald, 2015)
Purpose – Making decisions in finance have been regarded as one of the biggest challenges in the modern economy today; especially, analysing and forecasting unstable data patterns with limited sample observations under the ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Jianguo, Wei(Emerald, 2016)
Purpose – Because of the high volatility with unstable data patterns in the real world, the ability of forecasting price indices is notoriously embarrassing and represents a major challenge with traditional time series ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Jianguo, Wei; Arumawadu, Hasitha Indika(Emerald, 2016)
Purpose – The time series forecasting is an essential methodology which can be used for analysing time series data in order to extract meaningful statistics based on the information obtained from past and present. These ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Long, Wei(Taylor & Francis, 2018)
Economic growth of is mainly associated with technical changes as well as energy consumption of a nation. The causality between energy consumption and economic growth has created much more attention in the literature. With ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.(2018)
Purpose – The time series analysis is an essential methodology which comprises the tools for analyzing the time series data to identify the meaningful characteristics for making future ad-judgments. The purpose of this ...
Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Arumawadu, H.I.(2016)
The investment in capital market is easiest, fastest and securable way for building healthy financial foundation today. Because of the economic outlooks causing directly on these market fluctuations, the making decisions ...
Rathnayaka, R.M. K.T.; Seneviratna, D. M. K. N.;
(2019)
Generally, stock prices are chaotic and show both linear and nonlinear behaviors. As a result, the ability of forecasting is notoriously problematic, and represents a major challenge with traditional time series mechanisms; ...
Seneviratna, D. M. K. N.; Rathnayaka, R.M. Kapila Tharanga(2021)
Electricity Generation and Forecasting is prerequisite to enhance industrialization, farming and residential requirement of one’s nation. It has great impact on both nation’s economy and standard of living that can be ...
Seneviratna, D. M. K. N.; Malawana, M.V.D.H.P; Rathnayaka, R.M.K.T.(2021)
Sentiment Analysis is an innovative development in machine learning with the use of natural language processing techniques to derive emotions as positive, negative, neutral from public opinions in information. The main ...
An Artificial Neural Network (ANN) algorithms have been widely used in machine learning for pattern recognition, classifications and time series forecasting today; especially in financial applications with nonlinear and ...
Batuwatta-Gamage, C.P.; Rathnayaka, C.M.; Karunasena, H. C. P; Jeong, H.; Wijerathne, W.D.C.C.; Karim, M.A.; Welsh, Z.G.; Gu, Y.T.(2022)
This paper presents a Physics-Informed Neural Network-based (PINN-based) surrogate framework, which can couple time-based moisture concentration and moisture-content-based shrinkage of a plant cell during drying. For this, ...
Food drying is one of the key techniques of preserving fruits and vegetables. Grid-based methods and meshfree methods are the two most viable techniques applicable for numerical modeling of food structures during drying. ...
Karunasena, H. C. P; Senadeera, W.(CRC press:New York, 2016)
Food plant materials, particularly fruits and vegetables, when undergoing drying are
subjected to higher levels of morphological changes, leading to alteration of various
physical properties characterizing the dried food ...
Wijesekara, Patikiri Arachchige Don Shehan Nilmantha; Seneviratne, Chatura; Leung, Henry(Multi Disciplinary Digital Publishing Institute(MDPI), 2020-01-20)
Internet of Things (IoT) can significantly enhance various aspects of today’s electric power grid infrastructures for making reliable, efficient, and safe next-generation Smart Grids (SGs). However, harsh and complex power ...