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Browsing BEng (Hons) Software Engineering by Subject "Machine Learning"

Browsing BEng (Hons) Software Engineering by Subject "Machine Learning"

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  • COVID-19 Pneumonia Detection from X-ray Images 
    Munasinghe, Sunera (2023)
    "The coronavirus disease of 2019(Covid-19) has been one of the most devastating diseases of the modern age, and has had a massive death toll since it originated in 2019. According to World Health Organization (WHO) as of ...
  • Covid-19 Risk Identification Using Machine Learning 
    Maggonage, Shehan (2022)
    "The virus Covid 19 is a kind of a virus. This virus comes in a variety of forms. This was discovered in China in December of 2019. Within two to fourteen days after contracting this virus, symptoms appear in infected ...
  • CreativeAid! “Autonomous Creative Title Generation and Creative Text Identification Framework” 
    Shimak, Mohamed Naushad Ahamed (2019)
    Creativity is an art which aims at inducing certain set of beliefs in the target audience. In digital marketing and media, when promoting article or post creative titles are often composed to attract audience towards read ...
  • 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 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 ...
  • 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. ...
  • 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, ...
  • 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 ...
  • Dear Diary: Personality Based Journaling Therapy Using Natural Language 
    Zaheer, Mariam (2019)
    People are always in a rush to achieve things in life. These often leave people unhappy, annoyed or stressed. With the lapse of time, some of these people fall into clinical stress or depression. But little do they know ...
  • Deep Learning and Machine Learning for the Diagnosis of Paddy Diseases in Sri Lanka 
    Jayawardhana, Avishka (2023)
    "In Sri Lanka, rice is renowned for having a lengthy history. Paddy crops are grown all over the nation in practically every area due to their significance as the main food source. The rice harvest can occasionally be ...
  • Deep learning-based computer-aided detection of melanoma cancer subtypes 
    Peiris, Danuka (2022)
    "Skin cancer is a condition in which skin cells grow uncontrollably and irregularly. This is caused by unrepaired DNA damage or genetic defects in skin cells. Melanoma and non-melanoma are the two main kinds of skin cancer. ...
  • DEFINDER: Machine learning approaches towards employee recognition system 
    Artheesan, S (2021)
    " Machine learning gives machines capacity to learn about data and perform assignments without unequivocally programming. It is perhaps the main segment in man-made consciousness and serves to successfully tackle ...
  • DepDetect : Detection of Depressive Sinhala Comments in Social Media 
    Rathnayake Liyanage, Lashini (2022)
    Depression is a common mental disorder and a treatable mental illness under a low cost if diagnosed at its early stage. But many of the affected people do not diagnose the disease at its early stage especially in Sri Lankan ...
  • Depression Analysis Through Facial and Vocal Expressions 
    Nadanamainthan, Sarvetha (2022)
    "Major Depressive Disorder is a mood illness that affects how you behave, think and feel with the behavioural change of a person. In Sri Lanka, nearly 7% of adults are diagnosed with depression every year. A person can ...
  • Depression Detection System by Image Processing With Neural Network 
    Dehigama, Nipun (, 2023)
    This project is a detection system of people’s depression status. In this project author hope to address people who don't even know whether they are affected by depression or not and the people who have not yet been ...
  • DEPRONE : Decentralized proved news 
    Nufail, M. I. M (2021)
    " News media is one of the most trending and active domains across the world. However, the chances of vulnerability increases when the consumption of the news increases. Many pieces of research are being taken to ...
  • Deriving Maintenance of Accommodations Through Automated Text-Based Customer Review Analysis 
    Wickramasinghe, Tharindu (2023)
    "In today's business environment, most organizations have already recognized that customer feedback reviews play a significant role in determining the company's future actions. The hospitality and tourist industry is a ...
  • Detect Poisonous Plants 
    Maheswaram, Harrisagar (2024)
    "Poisonous plants are dangerous for both people and animals since they can cause serious health issues or even death. The absence of a reliable method for accurately recognising these poisonous plants raises the possibility ...
  • Detection of Changes in attention of students by analyzing EEG result Using Artificial Intelligence 
    Arachchi, Pasindu Purna Uduwila (2019)
    Student Attention is a major problem in modern education sector. Most of the teachers and parents are not satisfied of their students’ attention at all. During the schools, universities and any kind of education platform ...

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