Digital Repository

Browsing BEng (Hons) Software Engineering by Title

Browsing BEng (Hons) Software Engineering by Title

Sort by: Order: Results:

  • 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 ...
  • Customer Feedback Based Competitor Analysis for Hotels 
    Fernando, Achira Isuranga (2019)
    Technology increases proportionally to the rapid growth of the internet, this has changed how customers interact with the hotels. Nowadays, in a totally connected world, customers use online booking facilities to book rooms ...
  • Customer Segmentation For Scalable Recommender Systems in Online Retailing 
    Aathif, Sanjaya Faleel Mohamed (2020)
    Recommender Systems are an important tool used by companies and businesses in order to gain profit via customer satisfaction. It’s becoming increasingly popular among online retailers and often considered as a crucial ...
  • Customer-Wise Next Shopping Cart Predictor 
    Surendra, Sadesh (2024)
    "The retail industry faces the complex challenge of predicting individual customers' future purchases, a task made difficult by the dynamic nature of consumer behaviour and the vast array of influencing factors. The CNSP ...
  • Customized menu planning system for smart phone users 
    Samarawickrama, K. U. (2017)
    According a research done in year 2013, Centers for Disease Control and Prevention has found out that approximately 50% of food allergies among children has increased between the periods of 1997-2012. Each day the number ...
  • Customized systems for e-learning 
    Gamage, K. N. (2018)
    With the technological advancements, people in present world search for their own convenience rather than the concept of 'One fits for all' which applied in earlier days. The concept of Personalization is much popular under ...
  • CVisor – Automated Code Review System 
    Caldera, H. Nuwan Abhishek (2018)
    When programmers are developing systems, the functionalities are considered as the highest priority. But in software engineering source code is considered the most valuable asset. Maintaining the quality of source code ...
  • CVS Check- Computer Vision Syndrome Prediction 
    Samarawickrama Kodikarage, Disney (2023)
    "Computer vision Syndrome (CVS) refers to the harmful effects on the eyes and eyesight caused by continuous use of digital devices such as computers, smartphones, and tablets. These effects can cause discomfort, eyestrain, ...
  • Cyber foraging based on device AI framework for mobile applications 
    Wijayasekara, W. A. V. A (2021)
    " Smartphones are getting more complex and sophisticated, more powerful than before. Similarly, mobile applications are also getting advanced in order to cater users a better personalized experience. Machine learning ...

Search


Advanced Search

Browse

My Account