In the age of intelligent media consumption, the ability to recommend music that aligns with a listener’s emotional state is becoming increasingly relevant. While traditional music
recommendation engines rely heavily on ...
In the era of digital transformation, the demand for intelligent photographic services is rising
rapidly. While users often seek photographers whose style aligns with their vision, existing
platforms lack the capability ...
Memory leaks in Java applications can degrade performance and even cause system crashes,
which seriously challenge developers. Most of the existing memory leak detection tools rely
on dynamic analysis, which is time ...
Patients with head injuries are especially vulnerable, and prompt and proper identification of
hematomas can greatly improve the prognosis. Relying only on CT scans, radiologists must
diagnose a hematoma only by viewing ...
The rise in health issues linked to physical inactivity has become a significant global concern. With increasing reliance on modern conveniences, many individuals engage in minimal physical effort in their daily lives. ...
These days there are more emergency situations which rise in include natural disasters, pandemics and public incidents. For these situations timely and accurate information is essential for effective response. the need for ...
Problem: The increase of phishing and scamming across many communication
platforms—such as emails, messaging applications, and social media—has underscored
the inadequacies of single-channel detection methods. Most ...
The COVID-19 pandemic led to the rapid digitalization of finance presenting both opportunities and challenges for individuals, especially those in the IT sector. It changed how people handle their money and particularly ...
Accurate identification of snake species from images captured in low-light conditions is a significant challenge, especially in regions such as Sri Lanka where correct identification is vital for wildlife conservation and ...
The study tackles the growing problem of financial fraud in the digital economy, where traditional rule-based systems and static machine-learning models fall short. These older approaches struggle to understand the complex, ...
In the evolving technological landscape, the rise in the number of deepfake videos has risen by
a marginally great amount. Deepfake videos are videos which are created using digital
software, machine learning and face ...
Tea is a popular beverage worldwide, and Sri Lankan tea plays a major role in the global market.
The tea-making process includes various steps, among which tea grading is crucial as it directly
affects the market price. ...
The process of identifying papaya ripeness in indoor and outdoor markets is difficult for consumers because it takes place under different lighting conditions. Such inappropriate choices lead to reduced quality, consumer ...
The organization and classification of wedding photographs can be a serious challenge for
couples and professional wedding photographers alike, especially in the case of culturally
diverse weddings. Current automated ...
The increasing complexity of personal finance, combined with limited financial literacy, makes
it difficult for individuals to manage their budgets, spending, and investments effectively.
Existing tools often provide ...
Named Entity Recognition (NER) plays a critical role in extracting structured information from unstructured text, serving as a foundational component in many natural language processing tasks. Despite recent advancements, ...
The increase of deforestation and global warming has significantly increased the risk of water
pollution. Also, with the advent of industrial revolution, factories have begun to release pollutants
into water bodies, ...
This project focuses on using an Automatic Speech Recognition technology in medical
documentation domain with a special focus on improving transcriptions of the documents using
LLM based approach. There lies a problem ...
The increasing adoption of autonomous vehicles (AVs) presents significant challenges in
managing intersections efficiently while minimizing conflicts. Traditional centralized traffic
control systems struggle with scalability ...
Brain tumors pose a major medical challenge, where early and accurate detection is crucial but manual MRI interpretation is slow, complex, and prone to human error. This research project introduces NeuroDetect, a deep ...