• IoT Based Assistive Smart Shoe for Disabled individuals using Kansei Engineering 

  Uththara, PVD; Pathirana, EPKH; Yasaruwan, APGBY; Vinnath, WLV; Kalansooriya, LP (2024-09)

  The challenges facing visually impaired and disabled people in accessing transportation underscore the urgent need for advanced technology solutions. To address this problem, this study proposes a specialized Smart IoT ...

• Decoding Brain Wave Patterns for Speech Recognition in Individuals with Speaking Disabilities 

  Kariyawasam, KHPKK; Ranasinghe, RALU (2024-09)

  Decoding and predicting words from brain wave patterns is an area of growing interest, with numerous methodologies and machine learning techniques being developed to achieve this. Although various tools and approaches ...

• A Data-Driven Approach to Heart Stroke Prediction using Machine Learning and Fuzzy Logic 

  Peiris, MDR; Gunasekara, ADAI (2024-09)

  Early detection of heart strokes is crucial for timely medical intervention and improved patient outcomes. This research aims to develop a reliable and accurate heart attack prediction model using machine learning ...

• Optimizing Accident Severity Prediction: A Comparative Study of LSTM, CatBoost, and CNN Models with Feature Selection 

  Gathirvelou, Thayani; Mayurathan, Barathy (2024-09)

  Road accidents have recently emerged as a significant threat, ranking as the ninth leading cause of fatalities globally. The high cost of traffic-related deaths and property damage is particularly burdensome in developing ...

• Role of Visual Elements (Color, Typography, and Layout) on User Trust in Online Payment Processes 

  Ekanayake, BMUKS; Wanniarachchi, WAAM (2024-09)

  In the rapidly changing world of digital transactions, trust is the key to seamless online payment experiences. This research dives into the intriguing world of user trust within online payment processes, exploring how ...

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