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Master of Science By Research: Recent submissions

Now showing items 1-20 of 52

High-performance 3D mapping of unknown environments using parallel computing for mobile robots

De Silva KTDS [Thesis-Abstract]

Autonomous multi-robot systems are a popular research field in the 3D mapping of unknown environments. High fault tolerance, increased accuracy, and low latency in coverage are the main reasons why a multi-robot system is ...
An Automated framework for precipitation-related decision making

Adikari AMHD [Thesis-Abstract]

With the effects of rapid urbanization and climate change, weather forecasting plays a vital role in disaster risk controlling and mitigation activities. Generating weather forecasts using numerical weather prediction ...
An Adaptive software architectural framework for an interactive learning toolkit

Jayasiriwardene DPS [Thesis-Abstract]

At present, a significant demand has emerged for online education tools that can used as a replacement for classroom education. Due to the ease of access and the highavailability of mobile devices, the preference of many ...
Computational model for glaucoma classification

Shyamalee KWT [Thesis-Abstract]

Glaucoma is a leading cause of blindness and affects millions of people worldwide. It is a chronic eye condition that damages the optic nerve and if left untreated, it can lead to vision loss and decreased quality of ...
Flexible and extensible infrastructure monitoring architecture for computing grids with infrastructure aware job matching

Wijethunga RMKD [Thesis-Full-text]

Many research experiments with large data processing requirements rely on massive, distributed Computing Grids for their computational requirements. A Computing Grid is built by combining a large number of individual ...
Pre-training and fine-tuning multilingual sequence-to-sequence models for domain-specific low-resource neural machine translation

Thillainathan S [Thesis-Full-text]

Limited parallel data is a major bottleneck for morphologically rich Low-Resource Languages (LRLs), resulting in Neural Machine Translation (NMT) systems of poor quality. Language representation learning in a self-supervised ...
Minimizing domain bias when adapting sentiment analysis techniques to the legal domain

Ratnayaka G [Thesis-Full-text]

Sentiment Analysis can be considered as an integral part of Natural Language Processing with a wide variety of significant use cases related to different application domains. Analyzing sentiments of descriptions that are ...
Using back-translation to improve domain-specific English-Sinhala neural machine translation

Epaliyana K [Thesis-Full-text]

Machine Translation (MT) is the automatic conversion of text in one language to other languages. Neural Machine Translation (NMT) is the state-of-the-art MT technique w builds an end-to-end neural model that generates ...
Automatic classification of multiple acoustic events using artificial neural networks

Egodage D [Thesis-Abstract]

There are numerous scenarios where similar acoustic events occur multiple times. Acoustic monitoring of migratory birds is an ideal example. Birds make a type of call known as flight calls during migration. A flight call ...
Weather data integration and assimilation system

karunarathne HMGC [Thesis-Abstract]

Numerical Weather Models (NWMs) utilize data collected via diverse sources such as automated weather stations, radars, air balloons, and satellite images. Before using such multimodal data in a NWM, it is necessary to ...
Optimization of RSSI based indoor localization and tracking using machine learning techniques

Aravinda SPP [Thesis-Abstract]

Localization and tracking of persons in industrial environment is critical in terms of safety, privacy and security, particularly when there are hazardous zones. In this research, RSSI of RF signals were used to localize, ...
Acoustic event detection in polyphonic environments using artificial neural networks

Mihiranga JPM [Thesis-Abstract]

Our environment is a mixture of hundreds of sounds that are emitted by different sound sources. These sounds are overlapped in both time and frequency domains in an unstructured manner composing a polyphonic environment. ...
Cuff-less arterial blood pressure estimation using machine learning techniques

Manamperi BM [Thesis-Abstract]

High Blood pressure is considered as one of the main factors that affect human health. In addition, it leads to many other complications, risks and other cardiovascular diseases in the human body. Arterial Blood Pressure ...
Use of machine learning for the prediction of diabetes from photoplethysmography (PPG) measurements & physiological characteristics

Hettiarachchi CY [Thesis-Abstract]

Type 2 Diabetes (T2D) is a chronic disease affecting millions of people worldwide. It is a result of impaired glucose regulation, leading to abnormally high levels of glucose causing microvascular and macrovascular ...
Analyzing and modelling web server based systems

Tennage PN [Thesis-Full-text]

Server based systems are widely used in modern computer systems. Understanding the performance of web server based systems, under different conditions is important. This requires a step by step approach that includes ...
Forecasting agricultural crop yield variations using big data and supervised machine learning

Lakmal KJTD [Thesis-Full-text]

The government of Sri Lanka is struggling to make appropriate policy decisions regarding paddy cultivation due to absence of accurate and timely data to estimate the paddy yield, land usage for paddy cultivation and area ...
Developing a trip distribution model for identified mobility groups using big data

Rathnayaka BA [Thesis-Full-text]

The need for frequent transportation planning has become a key factor since people started becoming more mobile making urban traffic patterns more complex. The primary source for analysing such travel behavior is through ...
Automatic generation of elementary level mathematical question

Keerthisrini PLVS [Thesis-Full-text]

Mathematical Word Problems (MWPs) play a vital role in mathematics education. An MWP is a combination of not only the numerical quantities, units, and variables, but also textual content. Therefore, in order to understand ...
Dialogue state tracking for low-resource languages

Bhathiya HS [Thesis-Full-text]

Despite ground breaking work in the academia, current state-of-the-art work in goal-oriented conversational-agents has not been able to fulfil the demand of the industry for multi-domain multi-lingual, adaptable, dialogue ...
Speech to intent mapping system for low resourced languages

Karunanayake Y [Thesis-Full-text]

Today we can find many use cases for content-based speech classification. These include speech topic identification and speech command recognition. Among these, speech command-based user interfaces are becoming popular ...

Now showing items 1-20 of 52

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