• Micro data model architecture for AML scoring rule engines 

  Maduranga WAH [Thesis-Abstract]

  Online and mobile banking have become a primary service of today’s banking and financial sector. Clients could do their primary transactional jobs without physically appearing on the bank. This facility is 24x7 available. ...
• Empirical analysis on javascript engine performance 

  Dulanjana MDT [Thesis-Abstract]

  JavaScript is a prominent scripting language in web browsers. Earlier JavaScript was only used for client-side programming of browsers. JavaScript has been becoming a mainstream and a significant language in all types ...
• Guaranteeing service lavel agreements for triangle counting via observation - based admission control algorithm 

  Weerakkody WACR [Thesis-Abstract]

  Increasingly large graph processing applications adopt the approach of partitioning and then distributed processing. However, maintaining guaranteed Service Level Agreement (SLA) on distributed graph processing for ...
• An Automation toolkit for resource - aware public transport service scheduling - a case study 

  Shereen AGRF [Thesis-Abstract]

  The Eastern Province Road Passengers Transport Authority (EPRPTA) is one of the most important investment mechanisms for the provincial council launched in 2009. EPRPTA is composed largely of three districts inclusive ...
• Cervical cancer predicting system using machine learning 

  Prabodhani APKC [Thesis-Abstract]

  Machine Learning has become a vital tool in everyday life, as well as a potent tool for automating most of the industries we want to automate. Machine Learning is a method of developing algorithms that learn from data, ...
• Decentralized function as a service 

  Tissera SKNU [Thesis-Abstract]

  The objective of this research is to implement an automated, user-oriented, decentralized function as a service provider that replaces the existing centralized, single-authority FaaS providers in a way that can address ...
• Understanding the political opinion of Sri Lankans through deep learning based social media data analysis 

  Ameen AA [Thesis-Abstract]

  With the rising popularity of social media usage, the data generated through it has significantly increased. By focusing critically on these data, certain patterns, traits and opinions can be obtained which can be used ...
• Single image super resolution with wide activation for mobile devices 

  Senivirathne BK [Thesis-Abstract]

  Single Image Super Resolution (SISR) revolves around the task of reconstructing a high-resolution image from a single low-resolution image. Numerous applications of SISR range from surveillance & security, medical imaging ...
• Duplicate bug report detection using pre - trained language models 

  Sewwandi KAU [Thesis-Abstract]

  Software testing and defect reporting are significant factors of software development and maintenance. Defects are identified and reported in a bug tracking system like JIRA, or Bugzilla. Those reported defects are further ...
• Exploiting adapters for question generation from Tamil text in A zero - resource setting 

  Purusanth S [Thesis-Abstract]

  Automatic Question Generation focuses on generating questions from a span of text is a significant problem in Natural Language Processing (NLP). Question generation in lowresource languages is under-explored compare ...
• Self supervised learning of EEG (electroencephalogram) raw data to learn the hidden patterns of human brain activities 

  Gunarathna TMTA [Thesis-Abstract]

  EEG is a non-invasive neuroimaging modality that operates by measuring changes in electrical voltage on the scalp that are induced by cortical activity. In this research, we propose a method for self-supervised learning ...
• 3D Reconstruction of objects from RGB images and depth information using deep learning 

  Karunanayaka TD [Thesis-Abstract]

  Object reconstruction is the manner of producing a computer model of the 3D appearance of an object from two-dimensional photos. It's the opposite procedure of obtaining 2D photos from 3D scenes. 3D reconstruction ...
• Intelligent deception detection for online interviews 

  Fernando MLM [Thesis-Abstract]

  When it comes to human communication, lying is a common practice. Recently, the detection of lies has become an important focus of judiciary, law enforcement, and security, interviews, etc.[1] Due COVID-19 the pandemic ...
• Neural collaborative filtering based recommendation system for purchased product recommendation 

  Widanagamage D [Thesis-Abstract]

  In order to validate that the problem exists, I followed the procedure as explained below. First I grouped the data set with user id and the product. Then, for each user and item, I have derived the number of views, ...
• Rugby event detection in broadcast videos based on visual features using deep learning 

  Jayasuriya DP [Thesis-Abstract]

  A sports play event is an athletic activity that is performed by multiple players during a sporting event. Sports Event Detection is a challenging task in the domain of sports video analytics. Numerous attempts were made ...
• Reliable performance metrics for microservice - based application 

  Amaradasa GWGSV [Thesis-Abstract]

  Microservice is the most popular technology nowadays. But unfortunately, performance testing with microservice-based applications was comparatively more challenging than testing. As a result, many studies have focused ...
• Hybrid CNN-LSTM model for minute - wise stock market price prediction 

  Vijithasena MRG [Thesis-Abstract]

  Stock market prediction is considered as a challenging problem because of the non-linear and dynamic price changes in stock markets. And need to deal with high volume and high frequency data. Despite the fact that a ...
• Cross - domain recommendation system for improving accuracy by focusing on diversity 

  Herath AAHWS [Thesis-Abstract]

  With the rapidly developing technology world, recommender systems also improving day by day since customer expectations also vary from new angles making new business trends. As a result of this kind of situation, ...
• Enhanced cloud security and compliance reference model for emerging SAAS cloud systems consuming public cloud services 

  Fernando PRN [Thesis-Abstract]

  Most businesses in operation at present have an online presence. This ranges from an ECommerce application to a business that offers NoSQL database capabilities as a service to its customers. With the ...
• A deep learning ensemble hate speech detection approach for Sinhala tweets 

  Munasinghe MISA [Thesis-Abstract]

  We live in an era where social media platforms play a key role in the society. With the advancement of technology, these platforms have become more closer to people and currently, they can interact with most of the native ...

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