"In order to identify eye problems through the use of retinal image processing, the project entails the
development of a smartphone application powered by Flutter and Dart. Users are able to gather retinal
images by ...
"This investigation addresses the challenge of enhancing the precision of machine learning models for classification assignments in healthcare diagnostics. The essential issue rotates around precisely foreseeing the nearness ...
According to the statistical analysis of the International Dyslexia Association and The American Dyslexia Association, 1 in 10 people are dyslexic, as well as over 40 million American Adults are dyslexic, among them, only ...
Diabetes is one of the most common non-communicable diseases that prevail in today’s society. Due to the busy lifestyles of people, they lack healthy eating habits and regular exercises and as a result, this deadly diabetes ...
"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 ...
Electricity plays a major role in our daily lives. Power consumption is increasing day by day. According to a report from the CEB (Ceylon Electricity Board) 161,150 new power connections were provided in 2018. The device ...
"Autism Spectrum Disorder (ASD) presents a complex neurodevelopmental challenge
characterized by difficulties in social interaction, communication, and behavior. One of the
challenges faced by young and adult individuals ...
Dealing with emotions can sometimes be difficult how tough a person can be. Emotions that specially affect your mental health is one of the most concerning things in the current time. Since some of these even can lead to ...
"In today's highly competitive e-commerce industry, understanding customers' opinions and sentiments has become essential for businesses to thrive. Customer reviews are an excellent source of feedback for online retailers, ...
"Emotional recognition in speech is essential for enhancing Human-Computer Interaction. Over the past few decades, researchers have employed many methodologies to construct a model for SER system. The effectiveness of SER ...
"The average call volume for customer service centers is 30 calls per hour. They might also make good and bad decisions. Calls that don't end well could leave customers with negative opinions of the business. There are QA ...
"The fact which is initialized to be carried on to this research is the inability of blind people to recognize the facial emotions of others whom they are talking with by only considering their utterances. Someone’s utterance ...
In this modern revolutionized tech world, social media platforms contribute a large portion of internet users daily. Contradictory multifarious problems have been evolving in the social media domain during the past decade ...
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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 ...
"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 ...
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 ...
"This research tackles two critical challenges in the realm of Java application optimization and Java Virtual Machine (JVM) startup time reduction. The first challenge revolves around code optimization, which is vital for ...
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 ...
"In today's ever-evolving landscape of cyber threats, traditional security measures face many
challenges from sophisticated malware capable of evading detection through multiple kinds of
dynamic behaviors. ""CySentinel"" ...
"Current approaches frequently suffer from high computational costs and limited applicability
across different domains. While existing Named Entity Recognition (NER) models within
resumes provide excellent accuracy when ...