Over the past few years the world has witnessed the evolution and advancement of the internet and the increase in social media accounts opened across platforms such as Twitter, Facebook, and Instagram, connecting people ...
This chatbot is powered with advanced NLP models, combined with XAI, to allow the
detection not only of direct expressions of suicidal thoughts but also the indirect, subtle cues
from a person that might indicate poor ...
"The rush in digital transactions has underscored the importance to develop accurate and
trustworthy mechanism for detecting online payment fraud. In response to these challenges,
author propose an innovative hybrid ...
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Public Resource Computing were able to produce massive computational power under the
minimum cost. Which is equivalent to super computers. In the most of the case this computer
paradigm was used for the scientific ...
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Cloud computing is a service hosted and performed on the internet with the facilities
providing sharing of computer resources on user demand. Cloud computing offers three
main services known as Infrastructure as a ...
Growth in online gaming, the number of reviews for every game has grown exponentially.
Because of this, it has actually become tough for developers and analysts to find out the
accurate sentiment of the users. Sentiment ...
In the ever-evolving world of financial markets, accurately predicting stock prices is a perpetual challenge. In our research, we've taken a two-pronged approach, combining traditional time series analysis with cutting-edge ...
Two-factor authentication is a very common authentication method that is used to secure confidential data. One-time PINs are considered to be an efficient method in securing data but however hackers have figured out ways ...
A widely researched domain in the field of image processing in recent times has been single image super-resolution, which tries to restore a high-resolution image from a single low-resolution image. Many more single image ...
Large Language Models have restructured natural language processing by the ability to produce fluent, human-like answers. However, their tendency to cause hallucinations- believable, but factually inaccurate material is a ...
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Speech-to-punctuated-text recognition (ASR) is a form of speech recognition that has been widely used in the field of communication and speech therapy. The aim of this research is to design, develop, and evaluate a ...
"Early diagnosis of autism spectrum disorder (ASD) is vital for better outcomes, but current
methods rely on observation, causing delays in interventions. This emphasizes the need for more objective and reliable screening, ...
The problem of biscuit defect state detection can be identified as a problem in the processed food domain where the quality of the food is a crucial task. Ensuring quality of food is a crucial task and manual evaluation ...
Deep Learning (DL) and computer vision may be used to distinguish between various anatomical features in the human body. As technology has developed, several DL methods have been used to diagnose brain tumors and have shown ...
Communication barriers for the hearing-impaired community in Sri Lanka persist due to the
lack of accessible, real-time Sri Lankan Sign Language (SSL) translation systems that capture
emotional expressiveness. Existing ...
"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 ...
Insecure electronic voting systems can create serious problems for voters and stakeholders who
rely on accurate results. Unauthorized manipulation of e-voting data can drastically change the
outcome of an election or ...
This research presents a deep learning based diagnostic system designed to enhance the early detection of Retinitis Pigmentosa using Fundus Autofluorescence imaging. Retinitis Pigmentosa is a rare inherited retinal disorder ...
We frequently come into negative behaviors on the internet, despite all of its advantages, such as emotional abuse, hate speech, malicious communication, cyberbullying, and cyberthreats. Hate speech tends to become more ...