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A Novel Approach for Improving Epileptic Seizure Prediction and Detection Using Deep Learning

Rajaratne, Sajani (IIT, 2023)

"Around 60 million people suffer from this chronic disorder, Epilepsy; out of them, around onethird have seizures, which cannot be contained by anti-epileptic drugs. Seizures are unpredictable and therefore, patients must ...

Test Case Selection and Prioritization Using Machine Learning

Goonewardene, Sudeeptha (IIT, 2023)

"Techniques for selecting test cases shorten testing duration and cost, but they could omit some crucial tests that can detect vulnerabilities. Test case prioritization considers all test cases and performs them up until ...

Generating Tileless, Non-Rectangular Dungeons for 3D Games

Sivakumar, Amesh (IIT, 2023)

"Dungeons are one of the common types of levels featured in video games, and of the types of levels that are commonly generated procedurally. While existing dungeon generation systems are sufficient for the designers, ...

BugAtlas: A Deep Ensemble Approach in Insects Identification and Management

Vithanawasam Wickramasinghe, Tharani (IIT, 2023)

Insects are a diverse and ubiquitous group of animals that play a crucial role in maintaining ecological balance and facilitating environmental cycles. However, some insects can also cause significant harm to humans by ...

A Coconut Maturity Detection System using Image Processing (COCO-Detect)

Siyasinghe Polgahamullagei, Kawshika (IIT, 2023)

"Coconuts hold significant cultural and economic importance in Sri Lanka, with their widespread consumption motivating locals to cultivate and earn a living from this tropical crop. The country's favorable weather makes ...

Cryptocurrency Trading Recommendations and Analysis System

Siddeek, Ishfaaq (IIT, 2023)

"Cryptocurrency trading is a highly volatile firm, with the prices of each cryptocurrency shifting fast. It is difficult for traders to maintain the pace of continuously shifting market trends and make informed decisions ...

Automated Unit Test Case Generation for TypeScript

Wickrama Arachchige, Nilasi (IIT, 2023)

"This research project focuses on automating test case generation for TypeScript code using machine learning techniques and code analysis. The manual process of creating test cases for TypeScript components is time-consuming ...

Song Searching Through the Use of Complex Queries

Alain Jiehfeng Hsu, Alain (IIT, 2023)

This project is focused on solving the issue of using complex queries to find song results. As queries become too convoluted to return any relevant results or the song in question, a search engine supported by paraphrasing ...

Personality prediction system through analysing CV’s for e-recruitment

Perera, Himaya (IIT, 2023)

With the increasing prevalence of the internet and globalisation, many services have shifted to automation. Recruitment processes are no exception, with e-recruitment systems becoming increasingly popular. These systems ...

Delphi – A Telco Churn Prediction System based on Ensemble Learning

Rajendran, Apiseg (IIT, 2023)

"Predicting customer churn in the Telco industry is a major problem. Customer churn refers to the percentage of customers who terminate their services with a company in a given period, often due to dissatisfaction or the ...

Decentralised Data Marketplace Using AutoML

Samad, Shuhaib (IIT, 2023)

"In today's dynamic business world, Small and Medium Enterprises (SMEs) face challenges in automating customer service and securing customer data. E-businesses require quality customer service and product quality assurance, ...

Music recommendation system based on facial expressions, with or without face mask

Wimalaweera, Rakhitha (IIT, 2023)

"This MOOD TUNES music recommendation system utilizes facial expressions to determine the user's mood and preferencesDue to its versatility and utility in the present pandemic crisis, this device can function well in both ...

Image Processing Based Classification of Pest Damage and Low Fertilizer Deficiencies in Scotch Bonnet

Madushanka, Kasun (IIT, 2023)

"The author was aimed to detect difference between scotch bonnet leave structure which are having symptoms that can occur from chili thrips damage and low fertilizer deficiency. The reason is to classify this symptom is ...

Text Summarization for Online News Articles

Imam, Hamra (IIT, 2023)

"In the era of digital information, the overload of online content, particularly news articles, has made information gathering a challenging and time-consuming task. This problem is exacerbated for readers with short ...

Skin Lesion Classification using an Ensemble of Multi-Channel Attention-based Deep CNN and Vision transformers

Wanigasekara, Merenchi (IIT, 2023)

"Dermatological disorders are one of the most prevalent and significant causes of impairments worldwide. Reliable automated skin lesion segmentation and feature classification approaches can boost the ...

Lankan Hate Check - A Deep Learning Approach to The Detection & Categorization of Sinhala or Singlish Hate-Speech

Sirimanne, Senesh (IIT, 2023)

With the increasing use of the internet and social media, the spread of hate speech has become a major concern. This research aims to address the issue of hate speech detection and categorization in the context of Sri ...

Writer Identification Using Handwriting Analysis and Deep Learning

Sriskandarajah, Raveen (IIT, 2023)

"Handwriting is a sort of behavioral human biometrics that is unique to each individual and changes over time. It can be used as a secondary identifying mechanism for systems that require verification or in legal ...

Deep Learning Approach for Fake News Detection in Sinhala English Mixed Code Language in Social-Media

Adikaram, Duvini (IIT, 2023)

"The primary goal of this research endeavor is to develop a system that can effectively identify fake news written in Romanized Sinhala by utilizing a bi-directional LSTM model. By leveraging deep learning techniques and ...

The Pacer's Guide

Wickramasinghe, Pasal (IIT, 2023)

"Artificial intelligence has become the newest analytical powerhouse in the modern world. Since their introduction, the application of machine learning and computer vision algorithms in data analytics has gained popularity. ...

Semantic Bot: A Semantic Question Answering System for Raw Documents

Anchelo, Adrian (IIT, 2023)

"Semantic searches allow users to retrieve relevant information from raw data. Advancement in embeddings such as transformer models have made the semantic retrieval more efficient. However, the use of transformers requires ...

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