Browsing by Subject "Machine learning"

Advanced Strategies for Dietary Recommendations in Liver Disease: A Comprehensive Literature Review

Abeysekara, AA; Uwanthika, GAI; Ilmini, WMKS; Waidyarathna, GRNN (2024-09)

Advancements in Breast Cancer Detection: Exploring Machine Learning Techniques for Accurate Diagnosis and Early Detection

Munasinghe, MASD; Samaraweera, WJ (2023-09)

AI Powered Course Recommendation System for Private Education

Fernando, HS; Yakupitiya, KC (2024-09)

AI-Driven Voice Training and Singing Improvement: A Comprehensive Literature Review

Caldera, HTS; VIdanage, BVKI (2024-01-17)

This comprehensive review navigates the transformative potential of AI-driven tech- nologies in vocal training and music education, with a focus on Voice Matching and Personalized Singing Improvement. It precisely explores ...

Application of Artificial Intelligence in Prosthetics: A Review

Geethanjana, HKA; Hettige, B (2023-09)

Artificial Intelligence Powered Cataract Diagnosis: Enhancing Precision in Ophthalmic Healthcare

Ruwanpathirana, KL; Maduranga, MWP; Kawya, MVT (2024-01)

Autoencoder Empowered EEG Data Classification: A Self-Supervised Learning Approach

Bakmeedeniya, AHMTC; Wijayakoon, WBMSC; Ukgoda, UWHK (2024-09)

Cinnamon Care: Digitizing Disease Detection and Treatment Recommendations for Cinnamon Plants Using Image Processing and Machine Learning

Jayasinghe, SN; Sirisuriya, SCM (2024-09)

Classification of Research Papers Based on their Subject Field Using an Ensemble Machine Learning Approach

Dilushika, GKE; Rupasingha, RAHM (2024-09)

Comparative Analysis of Diagnostic Methods for Diﬀerentiating Hodgkin Lymphoma and Non-Hodgkin Lymphoma

Serasinghe, SMAU; Uwanthika, GAI; Ilmini, WMKS (2024-01-17)

A Comprehensive Review of Automated ICD -10 Categorization Model: Methodologies, Challenges, and Future Directions

Chinthika, AHS; Dissanayake, DMKS; Madhubashitha, WNNA; Kaumal, WMS; Sandamali, ERC (2024-09)

A Comprehensive Review of Methods Used for Health Prediction and Monitoring Utilizing an Electronic Medical Records (EMR) System

Jayasekera, SP; Kalansooriya, LP (2024-01)

In the rapidly evolving field of healthcare, Artificial Intelligence (AI) and pattern recognition play a key role in enhancing disease diagnosis and prediction. As the patient population increases, the digitalization of ...

A Comprehensive Review on Suitable Image Processing and Machine Learning Technique for Disease Identification of Tomato and Potato Plants

Kulasekara, Maithri; Jayathilake, NT; Wisidagama, NS (2023-01)

Comprehensive Study on Intelligent Traﬃc Light System Using Image Processing and Machine Learning

Walisundara, WMK; Hettige, B (2024-01-17)

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

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

Data-Driven Optimization Strategies for Resource Allocation in Small Businesses

Maddumarachchi, NCG; Wijesinghe, PRD; Sandamali, ERC (2024-09)

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

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

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 ...