"Adolescent suicide is a pressing public health issue, and early detection and intervention are
crucial in preventing such tragic incidents. Although digital interventions in mental health have the potential to increase ...
"This study investigates enhancing sentiment analysis in product reviews by integrating insights
from mental health discussions. While Aspect-Based Sentiment Analysis (ABSA) aims to
associate sentiments with specific ...
"The rapid advancement of Unmanned Aerial Vehicles (UAV) can be seen across various
applications. Traditional path planning methods excel in static settings but falter in dynamic
scenarios involving multiple moving ...
"Colon cancer and lung cancer represent significant public health challenges globally, being leading causes of cancer-related mortality. Early detection plays a pivotal role in mitigating these burdens by facilitating ...
"Software Vulnerability Detection has been a topic of extensive research due to its significance in assuring that software systems are not vulnerable to exploits that can cause disruptions. Existing systems suffer from ...
"High accuracy and reliability are essential for the diagnosis and classification of brain tumors from
medical imaging data, which is a crucial role in clinical diagnostics. In order to enhance brain
tumor identification ...
"
The challenge of efficiently managing and processing large volumes of data has driven the demand for scalable, reliable, and flexible ETL (Extract, Transform, Load) solutions with excellent performance. Ensuring data ...
"The present study searches into the unexplored domain of “Analyzing the Impact of Wish-list Abandonment on Sales Conversion Rates in the E-commerce Fashion Industry of Colombo, Sri Lanka.” With an emphasis on brands that ...
"In this dissertation, titled ""The Impact of Promotional Fashion Marketing Strategies on Consumer Fashion Purchasing Decisions in Sri Lanka,"" I explore the dynamic interplay between marketing strategies and consumer ...
"This study investigates a developing nation with a unique cultural and economic landscape. By examining the experiences of various global brands operating in Sri Lanka, such as Nike, Levi’s, Hugo Boss, Mango, and Adidas, ...
"Digital product passports are a digital document that provides the detailed level of traceability with regard to all information about a product throughout its entire life cycle. Due to mandatory legislation by the European ...
"The problem of Conduct Disorder (CD) in children and adolescents arises through disruptive behaviours, including aggression, theft, and vandalism, often leading to long-term negative outcomes such as legal issues and poor ...
"Deepfakes refer to altered digital content through deep generative models to achieve photorealistic standards. Deepfake instances related to celebrities are growing due to the accessibility of large quantities of data. ...
"The presented research addresses a significant challenge in the realm of communication: the language barrier faced by deaf and hard-of-hearing individuals. Existing sign language-to-text or speech and vice versa translation ...
"Waste pollution in Sri Lanka's coastal regions poses a significant challenge, affecting marine
ecosystems, residents, tourism, and the environment. Addressing this issue necessitates innovative
solutions to enhance ...
"ABSTRACT
Globally, mental health issues are abundantly present, but professional psychological services
that could be tailored to individual needs are scarce. Main difficulties concerning traditional
mental health ...
"PotatoLens addresses the crucial issue of detecting blight diseases in potato crops, a significant threat to agricultural productivity and food security. Focusing on Sri Lankan agriculture, where potatoes are a staple ...
"Secure communications are an integral part of networking in the modern era, especially with the growing
need of drones for different applications. Single drone operations are the norm, but statistics have shown
that ...
"n the recent years, Driver Assist Systems (DAS) and autonomous cars has focused on developing
systems based on computer vision (CV) with the help of deep learning (DL). Due to the lack of
availability of these new ...
"In recent years, tremendous progress has been witnessed in the field of computer vision, particularly concerning object detection and image classification methods. Within this context, vegetable detection systems play a ...