The goal of this thesis is to create a forecasting model for the sewing productivity of the apparel sector. The study's objectives are to examine the variables that affect sewing productivity and to pinpoint the best methods ...

This research proposes a method to prevent the cold start and other issues associated with adaptive game AI. This system overcomes these issues by providing a framework that allows a module enforcing common behaviour and ...

"Restoration of degraded images is a naturally ill-posed problem which has been an open research problem for many years in the domain of computer vision. Whilst analogue images were primarily affected by physical degradations, ...

Breast cancer is most common cancer in worldwide and it’s second leading cause of the cancer death. The gene mutation is the main key factor of the breast cancer. This research was conducted the identified genes expression ...

"According to the World Health Organization, approximately 9% of the Sri Lankan population has the disability of hearing loss. Sri Lanka Sign Language (SSL) is mainly based on BSL (British Sign Language). However, SSL ...

"User Interface (UI) and User Experience (UX) design plays a major role in the development of any application, however the technology used to design have always remained unchanged, stuck on the traditional devices. While ...

Construction noise is one of the most common occupational hazards in the construction industry. It can cause permanent hearing loss, tinnitus, and other health problems. In this thesis, propose a deep learning approach for ...

"The oral disorders that affect adults the most are gingivitis and periodontal disease. Gingivitis is the medical term for inflammation of the gingiva (gums). The alveolar bone, periodontal ligament, cementum, and gum ...

The proposed system aims to enhance an existing music recommendation system using Heterogeneous Information Networks (HINs) and Graph Neural Networks (GNNs). It introduces a deep learning model to improve accuracy and ...

When it comes to prediction, it's always a complicated and challenging process. Sometimes it might not helpful to use traditional methods of prediction with your requirement. Stock market prediction has been an interesting ...