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Browsing BSc (Hons) Computer Science by Title

Browsing BSc (Hons) Computer Science by Title

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  • Compile-Time Query Optimization of Streaming SQL 
    Karunanayake, Charuka (2019)
    Streaming SQL is a rising technology in the field of real-time analytics and the most attractive feature of these types of solutions are the abstraction they provide the user from the technical aspects of implementation of ...
  • CONNERS: Conversationally Explainable Recommendations for Cold-Start Users 
    Manathunge, Dilshan (2022)
    "With the ever-growing bloom of E-commerce in this digital era, users are bombarded with an overload of information. As users grow accustomed to digital service offerings, personalized recommendations offer a way to ...
  • Consumer Demand Prediction For Fast Food sector 
    Mawellage, Mahel Manjitha (2020)
    Lack of fast-food fulfillment to the consumer, excesses of fast food over the estimated demand and business loss profit cause by inaccurate demand prediction are common nowadays in fast food centers. Therefore, this study ...
  • Covid forecast and Detection 
    Nazeer, Atheek (2022)
    "Corona Virus is one of the diseases that is largely affecting many of the population and spreading worldwide throughout causing pandemics and many other crises. Vaccination allows us to not get infected, but it does not ...
  • “Crawl the News” (Video and Article News Recommendation using Web Crawling) 
    Diaz, C. L. Melissa (2019)
    The Web is an ocean of information covering a vast area of topics and is constantly updated with more and more information daily. With the advancements of the WWW and the expansion of the programmable web, more and more ...
  • Cric-1’O’1 : Quantitative Assessment of a One-On-One Opposing Player Encounter Performance Prediction in Cricket 
    Hamza, Rahma (2022)
    "Cricket is an internationally well-known game, and changes in technology also influenced the game with significant advancements. The whole game process and minute details are observed more precisely than ever before with ...
  • CricGuru- Cricket Batting Analysis for Sri Lankan Players Using Deep Neural Networks 
    Samarasekara, Sanjula (IIT, 2023)
    "Cricket is one of the most popular sports in Sri Lanka, not only between the adults but within the kids and youngsters too. Cricket plays a vital role among the sports in Sri Lanka. However, due to the current situation ...
  • Cricket Batting Analysis Using Pose Estimations and Deep Neural Network 
    Wijebandara, Lakjeewa (2020)
    When it comes to analysis, it’s always being a complicated and challenging process. AI based Batting technique analysis has been an important area due to evaluation of the sport with the technology. This report is based ...
  • CRICKT20 – Squad machine learning approach to predicting a squad 
    Ahmed, M. N. I. S (2021)
    " Cricket is a sport where teams of less than a dozen players compete against each other in the form of a match. Players in each team can be categorized based on their role in the field. Despite eleven players being ...
  • “CropRec” - Crop Recommendation System 
    Hisham, Shadir (2018)
    One of Sri Lanka’s biggest livelihoods and a major economic contributor is agriculture. Rich with a tropical atmosphere, Sri Lanka is an ideal island to contribute our agricultural resources to a global scale. With all ...
  • Crypto and Forex Trading Scam Tweets Detection System 
    Seyed, Ruzaik (IIT, 2023)
    Spam detection on Twitter using text classification is a well-developed topic of NLP. A lot of research is already being undertaken in this field, and the outcomes of that research have made this field fully developed given ...
  • 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 ...
  • Cyclone Detection Using Deep Learning and Image Processing 
    Shehan, B. D. C (2021)
    " Anyone in this world has heard of the disasters happen due to deadly cyclones. Some may have seen them and even some may have actually faced such situations. Thousands of people loss their loved ones, loss their ...
  • Data Driven Road Anomaly Verification System 
    Peiris, Wishva (2022)
    "Roads are a type of land transportation infrastructure that plays an important role in economic, social, and cultural context, as well as other aspects of community life. Furthermore, roads indirectly contribute to economic ...
  • Data-Driven Performance Evaluation and Player Ranking in Hockey via a Machine Learning 
    Herath Hitihamilage Don, Lahiru Rukshan Bhagya (2022)
    "Due to the availability of vast data documenting all of the events occurring during a match, the challenge of evaluating the performance of hockey players is garnering the attention of numerous corporations and 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, ...
  • Decentralized Firearm Tracking System GTA 
    Gamlath, Ralalage Ruchila Maditha (2020)
    Firearm usage have been rising in an epidemic manner. With this high rate of firearm ownership, it’s getting challenging day by day to keep track of the sold firearms and to manage the transactions between dealers and ...
  • Decentralized Log Book For Aircraft Maintenance using Blockchain 
    Meepage, Hirun Yasara (2020)
    The aviation industry has been growing rapidly worldwide and the industry has seen an ever- increasing growth in passenger count. With an increasing number of passengers and aircrafts there is a need for better systems to ...
  • 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 ...
  • DEEP LEARNING APPROACH FOR SUSPICIOUS HUMAN BEHAVIOUR DETECTION 
    Liyanage, P. L. P. R (2021)
    " Video surveillance systems take a more important place in the public security sector. These systems are used to detect human suspicious behaviors, analyze crowd behaviors, manage road traffic, track vehicles, etc. ...

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