Browsing by Subject "Machine learning"

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

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

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 ...

Detecting AI-generated and Human-Written Documents Using an Ensemble Learning Approach

Herath, HMDT; Rupasingha, RAHM (2024-09)

Development of an Intelligent Software Solution for AI -Enabled Stethoscope: Accurate CAD Diagnosis and Real-time Feedback System

Damsuvi, JKAT; Wickramasinghe, BCT (2023-09)

Although the classic stethoscope has long been a crucial diagnostic tool for cardiac conditions, it has an elementary level of accuracy in diagnosis capability. And mainly the diagnostic capability of traditional stethoscope ...

Development of intelligent outdoor camera sabotage detection system for large scale camera systems using deep learning

Marapana, KAUR; Siriwardhana, SMKK; Dunukewila, MS; Kodithuwakku, HKAYD; Weerawardane, TL (2023-09)

The study presents a newly created camera-tampering detection system for outdoor cameras, aiming to overcome the boundaries of human monitoring. It is intended to be implemented in large scale camera systems to identify ...

Early Detection and Identification of Blister Blight Disease in Tea Plantations Using Deep Learning and Real-Time Environmental Data

Gunathilaka, KKDSR; Hettige, B (2024-09)

Enhance Maternal Health Outcomes with Personalized Pregnancy Management Systems: A Technology-Driven Approach

Thathsarani, DHDP; Vidanagama, DU; Kathriarachchi, RPS (2025-02-06)

Personalized Pregnancy Management Systems (PPMS) enhance maternal healthcare by leveraging wearable devices and Artificial Intelligence. However, a critical research gap exists due to the limited data availability from ...

Ensemble Machine Learning Approach for Categorizing English Sentences Based on their Emotional Tone

Perera, DBY; Rupasingha, RAHM (2024-09)

An Ensemble Machine Learning Approach for Categorizing English Sentences Based on their Emotional Tone

Perera, DBY; Rupasingha, RAHM (2024-09)

Evaluating the Efficiency and Diagnostic Accuracy of Machine Learning Algorithms in Early Detection of Lung Cancer: A Systematic Review

Gunasekara, WAKD; Ganepola, GAD; Balasooriya, BGL (2025-02-06)

Lung cancer is a leading cause of cancer deaths in the world with an estimated 2.09 million cases affecting both men and women worldwide. Diagnosis in an early stage is needed to improve the survival rate in lung cancer ...

Exploring Mechanisms for Detecting Violent Content in Sinhala Image Posts: Rationale with Unsupervised vs Supervised Techniques

Dikwatta, U; Fernando, TGI; Ariyaratne, MKA (2024-01)

This research explores the different avenues in machine learning to classify Sinhala image posts. Image posts in social media are one big weapon that conveys information directly to people. Image posts contain both visuals ...

Implementing an Intelligent Patient Care System Utilizing Machine Learning to Advance Healthcare Practices and Patient Outcomes

Jayasekera, SP; Kalansooriya, LP (2023-09)

Improving Hazard Assessment Through the Integration of Weather Forecasting and Machine Learning Algorithms: A Review

Sewwandini, HT; Kalansooriya, LP; Vidanagama, DU (2024-01-17)

Integrated Model for Identifying the Learning Style of the Students using Machine Learning Techniques: An Approach of Felder Silverman Learning Style Model20

Wanniarachchi, WAAM; Premadasa, HKS (2023-09)

Integrating Retinal Image Analysis with Clinical Data for Enhanced Diabetic Retinopathy Classification: A Review of Machine Learning Approaches

Senarathna, KMGSN; Vidanage, BVKI (2025-02-06)

Limitations of doing a Stock Market Analysis in Sri Lanka: A Review

Nadeeshana, TLN; Ilmini, WMKS; Lakmali, SMM (2021-12)

Mobile Application for Visually Impaired: A Review

Naotunna, SN; Hettige, B (2024-01-17)