Faculty of IT, Computational Mathematics: Recent submissions

Now showing items 1-20 of 83

Sinhala code-mixed text translation using neural machine translation

Archchana, K [Thesis-Full-text]

Mixing two or more languages together in communication is called as code-mixing. In South Asian communities it has become famous due to bilingualism or multilingualism. Sinhala-English code-mixed(SECM) text is the most ...
Summarization of large-scale videos to text format using supervised based simple rule - based machine learning models

Sugathadasa UKHA [Thesis-Abstract]

Video Summarization has been one of the most interested research and development field since the late 2000s, thanks to the evolution of social media and the internet, due to the influence to provide a concise and meaningful ...
Automated tourism knowledge graph and intent generation from audio content extracted from videos, by utilizing NLP

Seneviratne SS [Thesis-Abstract]

Generating a knowledge graph for a chatbot is a time-consuming exercise which needs the help of an expert relevant to the field. This thesis presents our approach to synthesizes the creation of a knowledge graph and ...
Topological pruner a neural network pruner using topological data analysis

Perera WMMJU [Thesis-Abstract]

Architectural damage due to neural network pruning has been a research problem. To recover the accuracy loss, after pruning, pruned neural network needed to be trained further for a certain time period to gain the accuracy ...
Using web scraping in social media to determine market trends with product feature - based sentiment analysis

Nanayakkara T [Thesis-Abstract]

Customer product reviews are openly available online and they are now widely used for deciding quality of product or service and to determine market trends and influence decision making of users. Due to the availability ...
Personalised movie recommendation based on multi model data integration

Madushanki JGI [Thesis-Abstract]

Recommendation systems plays an essential role in the modern era, and it is a part of routine life where it guides the users in a personalised manner towards interesting and useful objects in a large collection of ...
2D Human animation synthesis from videos using generative adversarial neural networks

Udawatta PN [Thesis-Abstract]

Synthesizing 2D human animation has many industrial applications yet is currently done manually by animators utilizing time and resources. Therefore, many types of research have been conducted to synthesize human animation ...
Dynamic ontology based Q&A system for pandemic situations case study COVID-19 pandemics

Subasinghe SAHP [Thesis-Abstract]

In dynamic pandemic situations like covid-19, Many writeups, reviews, articles have been published every day. Rapidly updated data leads information overload, which make the public difficult to keep up with the latest ...
Ontology - driven personalized expert recommender system for IT service management

Chamalka KSWKBL [Thesis-Abstract]

Finding experts related to a given query in an industrial environment is a timeconsuming manual task. Much research has been conducted in this area using multiple intelligent techniques, but still, there ...
Excavation using decentralized swarm robots for off-earth habitation

Gunasekara LKIK [Thesis-Abstract]

Civilization has progressed over time as a result of exploration of previously undiscovered portions of the Earth and the subsequent exploitation of new resources. Humans will now explore and exploit new places beyond ...
Fabric defect detection using one-class classifier

Madhusanka VKN [Thesis-Abstract]

Textile is wide, very important in critical industry, because it provide lot prodcut to the human day to day life. As example cloths, wipes, transportation materials, wipes, hosuning materials etc. Then quality of the ...
Multi-Target multi-camera tracking optimization using probabilistic target search

Wijayasekara KS [Thesis-Abstract]

Smart surveillance in smart cities has become an important feature to be used in resource utilization and city-wide security areas. Multi-target multi-camera tracking has been one of the core areas in smart surveillance ...
A Big data analytic framework over federated data centers for intelligent travel recommenders

Udayanthi HPI [Thesis-Abstract]

Big Data is a series of enormous and complex data sets that are nearly impossible to store and process using traditional data storing and processing methods. The emergence of heterogeneous data in different domains causes ...
Generic information extraction framework for document processing

Silva AKG [Thesis-Abstract]

Information extraction from documents has become great use of novel natural language processing areas. Most of the entity extraction methodologies are variant in a context such as medical area, financial area, also come ...
Thinking like human approach to AI for gameplaying

Sumanapala SH [Thesis-Abstract]

Playing games helps humans relax and their minds. Games have a very long history. They were used as a leisure activity even by early humans. It involves both mind and body. With the development of computers games became ...
Neural machine translation approach for Singlish to English translation

Sandaruwan HGD [Thesis-Abstract]

This dissertation is for a research that aimed at proposing a language model to translate texts written in Singlish to English. Singlish is an alternative writing system for Sinhala language that uses Latin scripts ...
Pre-trained language model - based semi - supervised learning approach for content - based email categorization

Kankanamge ND [Thesis-Abstract]

Recent developments in neuroscience have revolutionized modern trends in artificial intelligence. Artificial neural networks (ANN), which is the artificial model of the human brain, have started to dominate in the field ...
Biometric authentication system using multi-agent technology in border control

Thenuwara SS [Thesis-Full-text]

In today’s world security is the most important aspect. Border criminals, frauds, unauthorized immigrants are burning issues in Sri Lanka within the last few years due to the lack of proper identification system i.e. ...
A hybrid approach for dynamic task scheduling in unforeseen environments using multi agent reinforcement learning and enhanced Q-learning

Shayalika JKC [Thesis-Full-text]

The process of assigning most appropriate resources to workstations or agents at the right time is termed as Scheduling. The word is applied separately to tasks and resources in task scheduling and resource allocation ...
An Intelligent hardware system for real-time infant cry detection and classification

Pathirana UPPD [Thesis-Full-text]

Cry, the universal communication language of the infants encodes vital information about the physiological and psychological health of the infant. Experienced caregivers can understand the cause of cry based on the pitch, ...

Now showing items 1-20 of 83

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