Problem: Major Depressive Disorder (MDD) is a serious mental health condition affecting millions worldwide, which leads to reduced quality of life, disability, and an increased risk of suicide. Traditional MDD diagnostic ...

Research in Anomalous Sound Detection (ASD) in industrial machines is a vital area of research aimed at improving operational efficiency, ensuring safety, and optimizing maintenance practices. This study leverages advanced ...

Problem: The healthcare industry requires a secure and efficient system to verify and manage the credentials of professionals. Traditional centralized systems are prone to security vulnerabilities, inefficiencies, and ...

Problem: Mental stress significantly affects physical and mental health, leading to decreased productivity and long-term health issues. Traditional detection methods, such as physiological monitoring and self-reporting, ...

Problem: Retailers capture extensive products and store sales data but still manually group stores and design planograms for shelf space, relying on subjective, outdated methods. These department-by-department processes ...

Problem: Large Language Models (LLMs) such as GPT have revolutionised digital applications but remain vulnerable to ""jailbreak prompts"" that bypass safety mechanisms, potentially causing harmful outputs. Existing ...

Accurately predicting financial distress is essential for managing risk and ensuring stability in financial markets, particularly those of developing economies, where external factors could greatly influence corporate ...

The growth of mobile financial transactions presents new challenges for fraud detection, where traditional and ML methods often miss emerging patterns. While Large Language Models (LLMs) offer advanced language understanding, ...

Emotion recognition in conversations (ERC) plays a critical role in building emotionally intelligent systems for mental health monitoring, virtual assistants, and human-computer interaction (HCI). However, the majority ...

Communication barriers for the hearing-impaired community in Sri Lanka persist due to the lack of accessible, real-time Sri Lankan Sign Language (SSL) translation systems that capture emotional expressiveness. Existing ...