"As the demand for deploying deep learning models on high-end mobile devices and IoT devices increases, the need for efficient machine learning model optimization becomes critical to execute on-device AI tasks. One of the ...

"The world of soccer is constantly changing, and with the growing competition, teams are always on the lookout for talented players to improve their performance. However, identifying the right players to fit into a team ...

"This research presents a novel deep learning-based system with the potential to transform the way the visually impaired engage with and purchase for groceries. To simulate a human capacity that has been underexplored in ...

Most people face difficulties in selecting a hairstyle or beard style that is suitable for them. To solve this problem, most people trust hair stylists, but they are highly expensive and need to spend a lot of time. Our ...

"Predicting diabetes is an important element of healthcare that has received greater attention recently. Diabetes forecasting can aid in early diagnosis, avoid complications, and enhance patient outcomes. This study ...

"This research aims to develop a transformer-based model or code-to-code translation, specifically from Java to JavaScript. The project will focus on the application of machine learning and natural language techniques ...

"The vehicle collision industry faces challenges such as rising costs and increasing complexity of repairs. Insurance companies manage the claims process, which is time-consuming and prone to errors, leading to increased ...

"This research aims to develop an efficient and accurate food recognition and dietary assessment system that leverages artificial intelligence and image processing techniques. The increasing demand for dietary management ...

"In the world, more than 16 million people speak Sinhala, which is the official language of Sri Lanka. It is a morphologically complex language that evolved from Pali and Sanskrit. The Sinhala language is one of the few ...

"Depression affects millions of people globally, and social media has become an important platform for expressing thoughts, feelings and emotions. Identifying individuals at risk of depression using social media data can ...