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  • Defense mechanism against adversarial attacks for optical character recognition system 
    Shiffna, M. M. F (2021)
    " Deep neural networks are widely being employed for Machine learning related tasks like Optical Character Recognition. Modern OCR is a computer vision task which adopts DNN and are found to be vulnerable against ...
  • 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 ...
  • Delish: A Recipe Recommendation System for a Healthy Life 
    Samarasinghe, Binari (2022)
    The process of “human metabolism” is an essential element of cellular function. Obesity, diabetes, hypertension, heart disease, and cancer are only a few of the diseases linked to disordered metabolic states. In the ...
  • Delivery Capability Prediction in Iterative software Development during Mid Sprint 
    Mohamed, Shareefa Mareyam (2020)
    Agile methodology or framework which is an iterative software development method has increased the rate of success of a software project in most of the companies tremendously over the past few years. Fast delivery, on-time ...
  • Delphi – A Telco Churn Prediction System based on Ensemble Learning 
    Rajendran, Apiseg (IIT, 2023)
    "Predicting customer churn in the Telco industry is a major problem. Customer churn refers to the percentage of customers who terminate their services with a company in a given period, often due to dissatisfaction or the ...
  • DELTA - Route Optimization and Stay Time Prediction 
    Srinivasan, Harees (2024)
    "Route optimization is a long-standing research challenge due to its complexity and computational inefficiency. While numerous optimization methods exist, their effective adaptation for real-world usage remains a subject ...
  • Demand forecasting model for Beverage Company 
    Jayasinghe, Madara (2024)
    This research navigates the intricate landscape of beverage demand forecasting, emphasizing the fusion of advanced machine learning techniques with ethical considerations in addressing real world business challenges. Chapter ...
  • Demand Forecasting System for Men’s Apparel Sector in Sri Lanka 
    Perera, Sachin (2024)
    This research is conducted with the aim of developing a sophisticated demand forecasting system for the men's apparel industry in Sri Lanka using advanced machine learning techniques. The varieties estimated in this research ...
  • Dengue Affecting Area Prediction Application 
    Gamage, Ayesh Navindu (2018)
    Dengue fever is a deadly fever among these day in Sri Lanka, a solution to prevent from dengue is contain in this report. A literature survey, System requirement specification and project management are first chapters ...
  • Dengue Outbreak Prediction System 
    Siriwardhana, S. G. C. M. (2018)
    Dengue is a life threatening and one of fastest spreading viral disease in the world as well as in Sri Lanka which does not have a specific treatment. This project is done to identify patterns in Dengue spread and to ...
  • DEP DETECTOR - Prediction of depression on twitter using deep learning 
    Thuuaragan, S (2021)
    " In these days’ social media like twitter became widespread to all generations. People tend to connect and share their emotions, feelings, pursuits etc. on social media more frequently. Depression is a been a major ...
  • Depbot - Early Depression Detection from Online Support Forums & Social Networks Using Deep Learning Techniques 
    Abeywickrama, Seniru (, 2023)
    "Nowadays depression and mental problems are not strange things to us because normally everyone felt somehow with these symptoms. With the advancement of technology, there are plenty of treatments, doctors, therapists, ...
  • 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 ...
  • DepFlow: Detecting Depressive Posts in Social Media using Sinhala and English Mix-coded Text Patterns 
    Wijethilake, Rusiru (2023)
    "Depression is one of the most serious medical conditions in the world that affects millions of people worldwide. In recent years, social media act as a popular platform for individuals to express thoughts and emotions ...
  • 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 ...
  • Depression prediction using Machine Learning 
    Senaratne, Buddhi (IIT, 2023)
    "Millions of individuals throughout the world suffer from depression, which is a common mental condition. It is a serious public health issue, and it can have a variety of effects, from social and personal problems to ...
  • Depression screening web application with an integrated chatbot feature. 
    Watuthanthirige, Thaluja Prabhath Alwis (2025)
    The accuracy and effectiveness of mental health screening systems depend largely on the quality of the data and the models used to interpret user inputs. Traditional screening methods, such as fixed questionnaires, ...
  • 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 ...
  • DERAINIZER for Unpaired Single Image De-raining 
    Fernando, W. H. C (2021)
    " Rain streaks are considered as a disturbance or a noise which cause performance or accuracy limitations in many computer vision systems. This obstructing rain streak problem is addressed within the domain of “De-raining”. ...