Recently added

Short term forcasting of solar power generation with reference to a case study of a large - scale photovoltaic plant in Sri Lanka

Seneviratne, Anushi (2022)

"Energy is required by all countries in the globe to provide fundamental human requirements and to aid industrial activities. Due to the scarcity of fossil fuels, depletion of energy resources, pollution, unfavorable ...

Machine learning based shere price prediction model for healthcare sector in Sri Lanka

Ruparatne, Praveena C.H.H.K.M. (2022)

"Background The coronavirus outbreak has impacted many domains including the financial equity markets around the world. Sri Lanka being one of the leading south Asian countries has been facing a challenging time in the ...

The Impact of Covid-19 in Supply Chain Industry and Prediction of Freight Volume using Machine Learning

Vithanagama, Sahana (2022)

Governmental restrictions aspiring to slow down the spread of epidemics and pandemic outbreaks lead to impairments for economic operations, which impact transportation networks comprising the maritime, rail, air, and ...

The Impact of Covid-19 in Supply Chain Industry and Prediction of Freight Volume using Machine Learning

Vithanagama, Sahana (2022)

Governmental restrictions aspiring to slow down the spread of epidemics and pandemic outbreaks lead to impairments for economic operations, which impact transportation networks comprising the maritime, rail, air, and ...

Predicting Rental Value Of Residential Properties In Colombo City Using Machine Learning Techniques

Kumarathunga, Vinusha (2022)

"Real estate is a well stabilized and an actively engaging sector throughout the globe with standardized set of guidelines that are initiated towards the benefit of both landlords and the tenants. This is not the case to ...

A Machine Learning Approach to Predict GDP of Sri Lanka

Eratne, Tharindi (2022)

"Machine learning approaches are widely getting adopted around the world. However, it is still a novel concept for economic policy makers and forecasters in Sri Lanka. The research is aiming to predict GDP of Sri Lanka ...

Predicting the GDP using ARIMA and LSTM model and business cycle position using classification model for next 12 months the United States of America case study

Mathivannan, Thanuja (2022)

"At any given point in time, the economy of a nation will be facing one of the four distinct phases of the economic cycle: expansion, contraction, peak, or trough. A prolonged period of economic contraction would pave the ...

Finding best approach to predict accident severity in Moratuwa police division using feature reduction techniques

Pathiranage, Kemal (2022)

"Road accidents are having a huge impact on the people globally. The objective of the study is to address rate of increasing traffic accidents that is a huge problem to the whole world. Sri Lanka is a low-income country ...

Corona ( Covid - 19 ) patient prediction approach

Caldera, Nuwan (2022)

The Covid 19 virus is a deadly virus that has currently spread around the world. This report entails a solution to prevent this virus. It includes an introduction with the problem domain, project aims and objectives in ...

Road Traffic Accident Severity Prediction using Data Mining Algorithms For Sri Lanka

Wijesinghe, Thilini (2022)

"Transport sector is one of the major aspects that determines a country’s economic situation. Therefore, ensuring road safety and administration of road accidents in order to establish a solid transport sector is crucial ...

Winning and Score Prediction Tool for Test Match Cricket

Udawatte, Shashan (2022)

"The viewership on test cricket has drop 40% according to reports. There are two main problem that has identify to the cause and they are: Home advantage and lack of engagement tool in the game of cricket to audience. ...

Data mining and social media analysis for marketing purposes. Case study: Sri Lanka travel Facebook fan page.

Parameswaran, Sangayathri (2022)

Social media are currently an essential marketing tool for the majority of the organizations. In April 2022, Facebook (82.03 %), Twitter (6.14 %), Pinterest (2.33 %), YouTube (7.64 %), Instagram (1.195 %), and reddit are ...

Forecasting the Impact of the COVID-19 Pandemic on Apparel Manufacturing in Sri-Lanka

Julius, Leon (2022)

"The COVID-19 pandemic which originated in Wuhan, China in December 2019 is responsible for the largest global recession in the 21st century. Sri-Lanka was one of the first countries in the world to be affected by the ...

Production efficiency predicting tool for Intimates apparel plant

Gunawardana, Sachith (2022)

"Abstract Apparel industry is the largest exporter in Sri Lanka so as the Majority of the Doller income is based on such. Inner ware manufacturing is just second to China. There are many competitors among other countries ...

A Research on predictability of the All Share Price Index of the Banking sector of Colombo Stock Exchange using Fundamental analysis ratios and Macro-economic variables

Samarakoon, Rahul (2022)

This study empirically examines whether the Price-Earnings ratio, Price-Book value ratio, Dividend yield, Interest rate, Exchange rate and Inflation rate is able to explain the all share index of the banking sector of ...

Prediction of SELL recommendation of stocks using Logistic Regression, Support Vector Machine, and K-Nearest Neighbors

Withanage, Sanath (2022)

The stock market is one of most complex systems in the world, which consists of stocks whose prices goes up and down, without generating a clear pattern. Various factors impact to these up and downs of the stock ...

Forecasting the price of imported big onions using predictive models for wholesale markets in Sri Lanka

Ismail, Mifrah (2022)

Hyndman (2018) defined forecasting as “forecasting is about predicting the future as accurately as possible, given all of the information available, including historical data and knowledge of any future events that might ...

Machine learning based sales forecasting system

Ranathunga, Pathum (2022)

"Sales forecasting aims to predict demand for sales figures in the future and reserve the Several products and perform marketing strategies based on the forecasting results. An accurate and reliable forecasting system ...

Forecasting of the solar PV system maintenance score based on the factors affecting on solar plant

Dharmawardhana, Susith (2022)

"Predicting the sola plantation output based on it’s maintenance output will generated more profitability to both industrial and residential consumers The importance of this has increased due to it’s direct production ...

Predictive Model for Customer Satisfaction in Airline Industry

Alahakoonge Don, Sameera (2022)

Customer Satisfaction is one of the most crucial attributes of a service-providing company and specifically in the airline industry which falls under both travel and hospitality sectors, customer satisfaction plays a ...

Recently added

2022: Recent submissions

Search

Browse

All of DSpace

This Collection

My Account