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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 ...

Voluntary Turnover Prediction System for Tourism Industry with Special Reference to Hotel Industry in Sri Lanka

Karagampitiya, Nirmani (2023)

"Sri Lanka is a popular tourist destination which attracts a high number of tourists. Tourism sector directly contributes 4.3% of Sri Lanka's Gross Domestic Product and ranks third in terms of country's foreign exchange ...

Human Count and Crowd Prediction in Public Transportation

Gunasekara, Shohan (2023)

"The issue of overcrowding and uncertainty about transportation arrival times and crowd levels in public transportation causes people to seek alternative modes of transportation. To address this, our solution introduces ...

Impact of digital marketing on consumer acquisition of fashion retail outlets in Colombo

Welhena, Hasini (2023)

"Digital advertising and marketing have passed off in retail developing through many approaches of purchaser desirability. Customers call for a new series weekly and a fresh keep look every time they input. In present-day ...

Factors affecting fashion brands’ awareness and marketing in the support of LGBTQ community

Mahawattage, Ganga (2023)

"Inclusion of LGBTQ (Lesbian, Gay, Bisexual, Transgender, and Queer) in fashion marketing can be seen more prominent than ever as it’s a social call and more than just marketing. But this differ when it come sot the ...

Tomato Leaf Disease Detection Using Machine Learning

Yasiru, Dushan (2023)

"Tomato cultivation in Sri Lanka faces challenges from unreliable disease identification systems, impacting crop yields. To address this, an innovative and user-friendly plant disease identification system is needed, ...

“iCrops” – Intelligent Crop tracker and Recommender

Wattegama, Deshan (2023)

"Chemical fertilizer usage is big problem in Sri Lanka. Researchers say that the chronic kidney disease is also an effect of this chemical fertilizer usage. As traditional farming country Sri Lankan farmers were using ...

Identify development disorders that occur in children during their first five years of life using video mining

Perera, Binali (2023)

"Depression is a serious psychological issue that can influence in individuals of all ages, including teenage students and toddlers. It can be difficult to realize that very young children can experience the depression ...

Telco Churn Predictor

Weerasekera, Namakl (2023)

"The Telco industry mainly provides prepaid and postpaid mobile packages. Customers select the package based on the information and feedback provided by users. Identifying the package which the particular customer is ...

Implementation of Change Data Capture using Apache Hive to improve ETL performance in a Big Data Warehouse

Wickramaratne, Malith (2023)

"A Data Warehouse acts as a centralized repository for millions/ billions of historical data. In order to provide historical intelligence, the data storage platform and the ETL process play vital roles with regards to the ...

Personality Type Identification System using unstructured text in English based on Natural Language Processing and Machine Learning

De Seram, Edirisooriya Mohottige Pamodya Jayangani (2023)

"Perosnality type identification is beneficial to understand the associates. Especially to understand life partner in order to have a successful marriage life, select the most suitable candidates for a company, and understand ...

Hybrid Movie Recommendation with Sentimental Analysis

Paramalingam, Thevaki (2023)

Recommendation systems are common in recent years. It is a software tool and techniques that provide suggestions based on the customer's taste to discover new appropriate things for them by filtering personalised information ...

Ensemble learning model to predict the Sri Lankan stock market index using macroeconomic variables

Balraj, Jeshreen (2023)

"The stock market plays an important role in the economy of a country. In Sri Lanka the Colombo Stock Exchange (CSE) is the only market that investors can trade. Institutional investors and individual investors make a ...

Opinion Mining Model for Sinhala to English Translated Data

Weerasinghe W N C, Weerasinghe (2023)

"In the world, there are many languages. Every language builds with different Characteristics and Patton. Let us take the significant differences between languages. The first and most common difference is the alphabet. ...

Loan Default Prediction in Abc Finance Company a Machine Learning Case Study

Palihadaru, Thamali (2023)

Finance companies equally play a vital role in the Financial System in Sri Lanka. Loans and Advances represent the majority of the asset class of the financial position which accounted for 76.8% of the total assets in 2021. ...

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