"A major difficulty faced by school leavers is their inability to select a proper degree pathway
suitable to themselves. This may be due to multiple reasons, such as, their lack of knowledge
and understanding in the ...
Cricket is one of the most popular games after soccer worldwide. Nowadays, matches are viewed,
and shared internationally through live satellite Broadcasting with highest viewership rating
[Nandyal, S., & Kattimani, ...
"Heart disease is the major cause of death and morbidity in the globe. Early detection and
prevention of this condition can considerably lessen its impact. Machine learning and predictive
modelling techniques have showed ...
"The Maintenance Tracker System project aims to tackle the difficulties posed by the existing
manual maintenance reporting methods in apartment complexes. The obstacles include arduous
reporting processes, inadequate ...
"This study integrates Natural Language Processing (NLP) and machine learning methods to
compute and produce ledger accounts from provided questions. Furthermore, it seeks to
construct balance statements utilizing the ...
"Brain tumour segmentation from MRI data is crucial for accurate diagnosis and treatment planning,
yet it remains challenging due to the heterogeneity and complex spatial structures of tumours. This
paper introduces a ...
"This research study aims to investigate and identify effective strategies and tools for tracking and documenting the progress of autistic students in traditional inclusive classroom settings. The primary objective of the ...
The prevalence of skin diseases globally necessitates advancements in diagnostic methodologies. This project introduces a Skin Disease Detection and Classification System employing machine learning to enhance accuracy and ...
"This research explores the use of Natural Language Processing (NLP) and deep learning
techniques for hate speech detection in Sinhala tweets with a specific classification. With the
increasing prevalence of digital ...
"One of the biggest challenges in the field of personalized health management is extracting
biometric data from face images. In order to solve this issue, a comprehensive system that
analyzes facial features and extracts ...
"The World Health Organization (WHO) has identified Alzheimer’s disease as a worldwide health priority. Early detection of the disease is critical since the traditional disease identification methods take a long time to ...
Since the Electric Vehicle (EV) industry is growing fast in Sri Lanka, EV users need to charge their vehicles especially when traveling far. Currently, the major difficulties are finding the route to the nearest charging ...
"Semantic segmentation annotates each class in an image pixel by pixel. Segmenting cardiac
magnetic resonance imaging (MRI) is crucial for diagnosing various cardiac pathologies such as
coronary diseases. This process ...
"In the agricultural sector, identifying nutrient deficiencies in crops such as black pepper plants remain a critical yet challenging task. Without timely detection and intervention, these deficiencies can significantly ...
"Parkinson's Disease (PD) Micrographia poses a significant challenge in medical education and diagnosis. This document outlines the creation of the Artographia system, a novel application designed for PD Micrographia ...
"The challenge of text summarization in this project, is to tackle the challenge with the goal of extracting important information from vast amounts of textual content. In the current digital era, when information is widely ...
This project focuses on enhancing the analysis of brain MRI images by employing Convolutional Neural Networks (CNN) and generating model insights through Explainable Artificial Intelligence (XAI). The primary challenge ...
"Counterfeit drugs pose severe risks to public health due to compromised treatment efficacy and safety. This research presents a blockchain-based solution to enhance the authenticity and traceability of pharmaceuticals in ...
"Neural Machine Translation (NMT) has experienced rapid advancements in recent years, particularly with the advent of large language models such as BERT and GPT. These developments have streamlined the translation process. ...
"With continuous advancements in social technology, image/video and textual data growth has been rapid. While audio captioning has seen effective implementation, image captioning demands further meticulous attention in ...