"Diabetes is a widespread chronic disease posing serious health risks. Patients struggle with self-management due to various reasons such as, inadequate personalized advice, emotional support, and educational resources. ...
In today's digital landscape, content creators face numerous challenges in interpreting feedback from diverse audiences, particularly when comments are expressed in code-mixed languages such as Tamil and English, often ...
In today's digital landscape, content creators face numerous challenges in interpreting feedback from diverse audiences, particularly when comments are expressed in code-mixed languages such as Tamil and English, often ...
"EventGuard enhances Windows event log analysis for security by employing machine learning,
particularly deep learning-based solutions. It evaluates five widely used neural networks within
three cutting-edge techniques ...
"Existing food recognition systems often struggle with the cultural complexities and regional
variations inherent to Sri Lankan cuisine. This results in inaccurate calorie estimations,
hindering individuals' efforts ...
"Musical Instruments for musicians, fans and collectors are very important assets that can output
their identity, status or even their worth in some cases. This makes musical instruments contain a
value that sometimes ...
This research project presents a novel approach to tackle the challenge of hallucination in the summarization of long biomedical texts. Hallucination, a phenomenon where the summarization model generates information not ...
"Electroencephalography (EEG) is a promising way to study brain activity and is being used to
figure out how people’s emotions work, which is important in fields like neurological and mental
health examinations. But it's ...
"Customer support systems nowadays are regularly faced with inefficiencies resulting from user inquiries, which often depart from standard usage patterns and documentation. The increase of support tickets caused by this ...
"The gap between physical and virtual classrooms have grown thin in the recent years due to the
advancement of technology, remote learning and convenience. Even having many advantages
over a physical classroom in many ...
"This project offers a third-party analysis of a machine learning classification task, emphasizing key evaluation metrics such as precision, recall, and F1-score to measure model performance. The dataset comprises instances ...
Even with the help of today’s well-developed music streaming platforms, it is difficult to permanently address the problem of satisfying each user's music preferences that are changing at every moment with different contexts ...
"In the digital age, the growing in reviews with disinformation poses a significant challenge to businesses and consumers alike. Identifying and preventing disinformation in online customer reviews is crucial for maintaining ...
"The primary issue is on the vital requirement for a precise, effective, and easily available diagnosis of strabismus, a condition marked by ocular misalignment that affects vision, depth perception, and may result in ...
"This research tackles the challenge of diversifying face recognition (FR) training via
optimized, cost-effective data augmentation (DA). Existing DA techniques lack diversity,
prompting the creation of ViT-DiverseGAN, ...
The digital age has revolutionized the music industry, creating vast textual data from sources like newspapers and online content. This research presents a combined model approach combining natural language processing and ...
"Because of the influence of numerous internal and external causes, stock price movement
tendencies are erratic in nature. For the traditional investor, this price volatility might present both opportunities and ...
"The special education domain caters to a multitude of individuals with varying mental and
physical challenges. Individuals affected by Trisomy 21 fall under the same umbrella as
individuals requiring special education. ...
This research aims to determine the applicability of machine learning techniques in developing a reliable, data-driven fruit and vegetable price prediction system in Sri Lanka. Data collected over the past 10 years from ...
In recent years, anomaly detection has become crucial for gaining insights into important and valuable information related to critical situations across various industries, including finance and IT. However, the vague ...