• Transfer Learning for Facial Forgery Detection using Attention-based Neural Networks 

  Randika, Aruna (2023)

  "This paper discusses the problem of identifying artificially generated human-like faces that appear realistic due to advancements in AI technology. The challenge lies in detecting these images using specific parameters. ...
• A Secure Firmware Over-The-Air Update Framework for Constrained IoT Devices 

  Zoysa, Navod (2023)

  "IoT devices have a wide range of applications in several different domains in the modern world mainly as wearables and used in smart cities to name a few. Due to their nature of being deployed in remote places it is ...
• LogSense: Optimization of the DevOps Lifecycle Through Efficient Log Anomaly Detection and Root Cause Analysis 

  Jayasuriya, Lilan (2023)

  "Log anomaly detection and root cause analysis play a crucial role in the optimization of the DevOps lifecycle. However, existing methods struggle to efficiently handle the large volume and diverse formats of log ...
• Container Distribution and Optimization 

  Gomez, Darren (2023)

  "Containerization technology, epitomized by Docker, has revolutionized software development and deployment by encapsulating applications and their dependencies into lightweight, portable containers. Efficient distribution ...
• Muti-Modual approach of Procedural Level Generation 

  Dinuwara Gamage, Anuja (2023)

  "This thesis proposes a Multi-Modal approach for the combination of Procedural Level Generation (PLG) and Procedural Content Generation (PCG) to create more diverse and engaging game levels. PLG is a popular technique for ...
• Grasal 

  Parameswaran, Niluja (2023)

  "Sales forecasts help businesses make better decisions based on future revenue, which will help them to Forecast likely profit or loss in a designated period. Aiming to discover competitive new products, sales forecasting ...
• A Decentralized Approach for Verifying the Integrity of Web Resources 

  Ravindrakumar, Luxman (2023)

  "In the current digital age, the issue of digital resource authenticity has become one of increasing importance. This is due, in part to our reliance on the internet for information and resources as well as increasingly ...
• Deepfake audio detection system 

  Senadeera, S.A. Nanduni (IIT, 2023)

  There is fast development in the artificial intelligence field nowadays, and with these rapid developments, deep fake audio, images, and videos are becoming difficult to recognize by basic human intelligence. To solve ...
• Potato disease classification at the very beginning stage using image processing Technologies 

  Alagiyawanna, Banuka (IIT, 2023)

  "In South Asian nations, farming is one of the primary economic sectors for generating income. And the development of the potato represents an important turning point in these agricultural activities. In order to receive ...
• PseudoFlow: Generating Algorithm and Flowchart from Natural Language Input 

  Perera, Ruvik (IIT, 2023)

  "In this thesis, we introduce the design and development of an innovative, intelligent system aimed at enhancing the learning experience for beginners in programming as well as providing an assistive tool for more seasoned ...
• Application of Conformal Prediction on Semantic Similarity Scoring 

  Saverimuttu, Shohan (IIT, 2023)

  Even with the proliferation of machine learning models and techniques and the use of predictive software for corporate or research and academic purposes, it is understood that there lingers a lack of transparency and risk ...
• 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 ...

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