"ABSTRACT Identifying and recognizing objects in uncertain environments is one of the major challenges in computer vision domain which has been a research challenge for the past decade of time. The performance of existing ...

"The research's objective is to create a cosmetic recommendation system that accurately suggests products to users based on their preferred input. Customers can choose the best product for their skin type and make quick ...

In modern software development, the repetitive nature of manual Quality Assurance (QA) processes poses a significant challenge, particularly in automating tasks like regression testing. Traditional approaches often lead ...

"Currently, parking infrastructures are not providing a central platform or real-time parking availability support with security aspects. Poor parking infrastructure has a wide range of negative effects on the city and its ...

"Spatial Awareness plays a critical role in navigating environments, It poses a significant challenge for individuals in low vision or low-lighting situations. This research addresses the limitations faced by such individuals ...

" Smartwatches have become a key component within the realm of personal computing. These devices have been tightly woven with the common smartphone and the user itself. However, smartwatches lack the ability to employ ...

This research addresses the challenge of developing effective Named Entity Recognition (NER) models for low-resource languages, with a specific focus on Tamil. While demand for NER systems is growing, low-resource languages ...

"ri Lanka is currently facing an acute challenge in meeting its rapidly growing electricity demand amid an economic crisis and constrained capacity for energy import and export. The conventional methods for forecasting ...

"The effectiveness of Large Language Models (LLMs) is critical for providing legal advice about Sri Lankan marriage and divorce laws. The novel improvements using Retrieval-Augmented Generation (RAG) and QLORA-efficient ...

"Obtaining high quality, diverse, accurate datasets for sentiment analysis has always been a significant challenge. Traditional approaches include annotators which may introduce bias to datasets and is also time-consuming ...