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  • Gastro Genius 
    Ranasinghe, Shehani Dinithi (2024)
    Food is essential for human survival, and people are constantly eager to try new, inventive meals. Completing recipes requires careful consideration of taste, smell, and texture to provide optimal results. Many people ...
  • "GastroAid": A Semi-Supervised Learning Approach to Gastrointestinal Tract Image Classification 
    Gunaratna, Dinisuru (2022)
    The human gastrointestinal (GI) tract is subjected to a range of diseases and endoscopy can be considered the global standard for the examination of the GI tract. However, the potential to detect abnormalities in the GI ...
  • A Gated Transformer-Based U-Net Model for Cardiac MRI Segmentation 
    Nettasinghe, Oshan (2023)
    "The study focuses on enhancing cardiac MRI segmentation using attention-based medical image segmentation models, particularly gated transformer architectures. It addresses the limitations of traditional convolutional ...
  • Gem Identification & Price Calculation Using Image Processingx 
    Lekamge, Rohan (2022)
    "gemstone is a mineral stone with a hardness of greater than 7 Mohs due to geological activity. Gemstones have achieved significant market share in Sri Lankan society. In the current day and age, gemstones have impacted ...
  • Gemident: Hybrid Machine Learning Approach for Accurate Gemstone Classification and Shape Recognition 
    Jankura Patabandi, Udeesha (2025)
    he gemstone trade faces challenges in accurate and efficient identification due to reliance on subjective manual inspections and costly spectrochemical methods, which are inaccessible to small-scale traders, particularly ...
  • GemLens : Advancing Gemstone Classification with Progressive Learning with CNN and LIME 
    Hembadura, Kavindu (2024)
    "Traditionally, gem identification relies on specialized tools and expertise, making it challenging and prone to human error. Mistakes in detecting slight differences between gemstones can lead to serious consequences, ...
  • GemoEye: AI-Driven Gemstone Identification and Authentication System 
    Jayasankha, Tharindu (2024)
    "This research addresses the challenge of accurately identifying and authenticating gemstones using a vision transformer model. Traditional methods often depend on expert knowledge and specialized tools, which may be ...
  • Gemstone Classification using Image Classification 
    Judixon, Thabitta (IIT, 2023)
    This study presents automatic image-based classification of 12 popular gemstones using Convolutional Neural Network. A comprehensive and diverse dataset consisting of 24,000 images was created by the author, with 70% for ...
  • Generating an Efficient study planner for student 
    Abirami, S (2021)
    " The education is the main component which decides the development of the worldwide national human resources. Studying is important since it helps a person to develop the personal skills and a complete education. It ...
  • Generating Optimized and Prioritized Test Scenarios. 
    Joseph, Stefaniya (2023)
    "Software testing is a more essential stage in Software Testing Life Cycle. Testers spend more time to provide a quality product. When testing a particular functionality, first the system requirement must be analyzed and ...
  • Generating Subtitle Using Speech to Text 
    Liyanage, Ameera (2019)
    Even though there are many voice recognition software’s such as Dragon Dictation, Naturally Speaking, Windows Speech Recognition still video players do not support voice recognition or voice-to-text either in online or ...
  • Generating Tileless, Non-Rectangular Dungeons for 3D Games 
    Sivakumar, Amesh (IIT, 2023)
    "Dungeons are one of the common types of levels featured in video games, and of the types of levels that are commonly generated procedurally. While existing dungeon generation systems are sufficient for the designers, ...
  • Generative Adversarial Networks Using Neural Architecture Search for Semantic Image Segmentation 
    Ganepola, Vayangi Vishmi Vishara (IEEE, 2021)
    Semantic image segmentation is a crucial task in various fields that use computer-vision based applications. Generative Adversarial Networks (GANs) are attracting widespread interest in the data science community for their ...
  • GENESYS - Preventing culling of day-old male layer chicks with pre-incubation gender determination 
    Samuel, Timothy (2024)
    "The poultry industry faces significant ethical and economic dilemmas due to the mass culling of day-old male layer chicks, driven by their lack of financial viability for meat production compared to specialised broiler ...
  • GeneticPSO : A Novel Approach to Test Suite Optimization using Metaheuristic Algorithms 
    Silva, Kavindu (2024)
    "Software testing is crucial for verifying program behavior, but as test suites grow due to the increasing complexity of modern software systems and frequent changes requiring regression testing, executing these extensive ...
  • Genomic Profile for Identifying Breast Cancer 
    Alvitigala, Kavindi Oshini (2020)
    Breast cancer is most common cancer in worldwide and it’s second leading cause of the cancer death. The gene mutation is the main key factor of the breast cancer. This research was conducted the identified genes expression ...
  • Genomic Profile for Identifying Breast Cancer 
    De Zoysa, Kittingal Rannulu Sachin Tharindu (2021)
    " Breast cancer is the most common cancer worldwide and it is the second leading cause of cancer death. Gene mutation is the main key factor of breast cancer. This research was conducted on identified gene expression ...
  • Genre Recognition System 
    Lloyd, Chrishane (2020)
    It has been recorded that music was found in 800 BCE. It is mesmerizing how music has positively affected every life. For most people, music helps to reduce stress and enjoy the moment. With all the instruments that are ...
  • "GenSum Adaptive Generalized Text Summarization System using Optimized Transformers" 
    Kalam, Nazhim (IIT, 2023)
    "Abstractive text summarization systems have been integrated with various application in the world to perform text summarization and its nothing new to the field. However, with the prior research it found that in the ...
  • GenTex: A Variant of LeakGAN for Text Generation 
    Varatharajah, Vaseekaran (2022)
    "Text Generation is the task associated with predicting the next word serially and continuously for a given a sequence of text data utilizing language models. A primary use of text generation is data synthesis. Availability ...