Digital Repository

Browsing BEng (Hons) Software Engineering by Title

Browsing BEng (Hons) Software Engineering by Title

Sort by: Order: Results:

  • Credit Card Fraud Detection using Machine Learning 
    Ranasinghe, Thushini Maleesha (2019)
    Credit card is one of the most used transactional methods in the world and every year, fraudulent credit card transactions cause losses of billions of dollars. Designing efficient systems for fraud detection is key to ...
  • Credit scoring with macroeconomic factor analysis using machine learning techniques 
    Thenuwara, Jithendra (2019)
    Non-performing loans (NPLs) are loans which are several months overdue. An increase in NPLs can cause a huge impact to the economy and has even caused financial crisis in the past. Moreover, macroeconomic conditions such ...
  • Cricket Bowling Technique Analysis Using Pose Estimation and Deep Neural Networks 
    Wijerathna, Shahiru (2024)
    Now, human umpires watch the delivery and render an arbitrary ruling based on their interpretation of the rules to determine if a bowler's action was legal. This may result in errors and inconsistencies that affect the ...
  • Cricket Pose Trainer 
    Balasundharam, Rajith prasath (2018)
    Cricket is one major game that is being played or practiced by many people nowadays. There are many factors that contribute for a player to perform well in cricket. As like many other games Cricket also have many rules ...
  • Cricket Score and Winning Prediction through Data Mining 
    Radhakrishnan, Gokulan (2019)
    Predictions in the sport of cricket has always intrigued the fans. Cricket fans all around the world always wanted to know whether their favorite team would win the match, and always wanted to know whether their prediction ...
  • “CRICKML” Player Performance Prediction in Cricket 
    Hatharasinghe, Maduranga (2019)
    Cricket is one of the fastest growing and one of the most popular sports in the world. The primary objective of any team that is playing a Cricket match is to win. However, Cricket is a very dynamic sport and there are ...
  • CricTrack: Expectations of Cricketers to Develop their Skills 
    Pavalarajan, Vageesan (2022)
    "Cricket is one of the world's most popular and rapidly expanding sports, with people of all ages and genders participating. However, many cricket players cannot afford proper facilities, making it tough to play the game. ...
  • Crime Buster An Automated Criminal Profiling Tool 
    Wijerathna, H. M. S. A. (2016)
    Information Technology throughout the years since it was introduced, has contributed in many ways to the betterment of the world and has influenced areas like Business, Economics, Education, Communication, Medicine, ...
  • Crop Recommendation using ML and IoT 
    Paramasivam, Theepshana (2022)
    "In recent decades, agriculture in Sri Lanka has undergone a technological transformation, making farming more manageable, more productive, and profitable. On the other hand, farmers face several challenges and constraints, ...
  • CropDoc: A Deep Ensemble Learning Approach for Plant Pathology Detection 
    Umayanga, Athindu (2022)
    "Sri Lanka is a country with a rich background in agriculture that was called the ‘Granary of the east’, which resembles the rich agricultural status of the country. Agriculture plays a vital role in the economic growth ...
  • Croppy 
    Kalapuge, Sandaru (2023)
    Even though over 300 million people suffer from food insecurity, approximately 1.3 billion tons of agri-food will go to waste or be lost each year due to food supply chain inefficiency in the world. The total value of ...
  • Cross-Lingual Singing Voice Conversion with VAW-GAN 
    Bhareti, Kushan (2022)
    "Singing is not an ability that all humans have grasped at a level to perform in a professional manner. While most people involved in the entertainment industry are accustomed to singing, there can be instances where an ...
  • Crowd sourcing approach to recommended trips based on the point of interests using machine learning 
    K.G.G, Denusha, (IIT, 2020)
    The tourism industry performs a major role in national and countryside economies. Attracting more tourists to the country has continually been a quintessential situation for governments. This research paper aims to ...
  • Cryptify: Identifying Crypto Disinformation in Tweets Using Computational Techniques 
    Tissera, Sandaru (2024)
    Disinformation in cryptocurrencies is a major concern in social media nowadays, especially in the platform X which is one of the most popular social media platforms used by crypto enthusiasts. Being a trending topic ...
  • Cryptocurrency Price Prediction System Using Twitter Sentiment Analysis 
    Kiriwendala, Sajith Namal (2019)
    In the modern world online transaction has been very popular and common among people all around the globe since it is very fast, efficient and saves people’s valuable time as they do not have to physically be anywhere to ...
  • CryptoFutureVision A Deep Learning Approach to Forecast Cryptocurrency Price Based on Social Sentiments and Historical Price Data in Real-Time 
    Peiris, Shanuka (2023)
    "Real-time cryptocurrency price prediction is a challenging task that captivates the interest of cryptocurrency investors and traders. The market's high volatility, influenced by multiple factors like news events and ...
  • CryptoInheritor - An automation system for crypto inheritance 
    Welimahara, Rasula Yadithya (2023)
    "Crypto currencies allow users to execute seamless, quick and cost-effective transactions globally without relying on intermediaries. This is made possible due to its ledger-based and decentralized architecture. However, ...
  • CryptoVisionX: Image-Based Cryptocurrency Price Prediction Using Deep Learning Explainability 
    Fernando, Shavin (2024)
    "Cryptocurrency trading heavily relies on the accurate analysis of price trends for profitable decision-making. Manual trend analysis currently proves time-consuming and is likely to be false and then leads to huge losses ...
  • CSLS (CEFR Based Lexical Simplification) 
    Amarasena, Harindu (2022)
    Common European Framework of Reference for Languages (CEFR) is an international standard for describing language ability. There are six levels in the CEFR and most of the English text in the world can be classified into ...
  • Cuneiform A Visual Programming Environment for Conversational Interfaces 
    Dias, Savidu (2018)
    Conversation is the most natural way humans interact with each other. Therefore, many researchers have directed their efforts towards HCI systems that interact with their users through natural language. Such systems are ...

Search


Advanced Search

Browse

My Account