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Master of Science in Artificial Intelligence
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Browsing Master of Science in Artificial Intelligence by Subject

Browsing Master of Science in Artificial Intelligence by Subject "ARTIFICIAL INTELLIGENCE -Dissertation"

Now showing items 1-19 of 19

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 ...
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 ...
Capsule network based super resolution method for medical image enhancement

Munasingha SC [Thesis-Abstract]

Medical imaging has been one of the most attentive research and development areas since the 1950s, particularly due to the contribution to disease diagnosis. Despite the fact that imaging technologies have been advanced ...
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 ...
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 ...
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 ...
A hybrid approach for dynamic task scheduling in unforeseen environments using multi agent reinforcement learning and enhanced Q-learning

Shayalika JKC [Thesis-Abstract]

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 ...
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 ...
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 ...
Optimizing robotic swarm based construction tasks

Jaliya DLTS [Thesis-Abstract]

Construction is a field that grows with technological advancements by the day. The field has always adapted novel and innovative technologies to create marvels of engineering which were thought to be impossible before ...
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 ...
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 ...
Stacked capsule autoencoder based generative adversarial network

Madhusanka GAC [Thesis-Abstract]

Convolutional neural network based generative adversarial networks have become the dominant generative model in the field of generative deep learning. But limitations of convolutional neural networks affect generative ...
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 ...
Theme park crowd simulation using multi agent system

Gunawardena DMLNP [Thesis-Abstract]

Computer-based crowd simulation has become a dominant research topic today. Computerbased simulation applications are used in education, entertainment, training, theme park design and building evacuation. ...
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 ...
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 ...

Now showing items 1-19 of 19

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Browsing Master of Science in Artificial Intelligence by Subject "ARTIFICIAL INTELLIGENCE -Dissertation"

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