Browsing by Author "Vidanage, BVKI"
Now showing items 1-17 of 17
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Bridging the Gap: Review of Real-Time Automatic Sign Language Subtitling Using 3D Avatar Technology
Attanayake, AMKP; De S Sirisuriya, SCM; Vidanage, BVKI (2026-01)A large global population experiences some degree of hearing loss, limiting access to multimedia content that depends on spoken language. In Sri Lanka, Deaf and Hard of Hearing individuals communicate primarily in Sri ... -
Comprehensive Review of Mobile Personal Assistant (Chatbot) for Depression Patients a Using Emotion Recognition Using Large Language Model
Sarathchandra, AWTD; Vidanage, BVKI (2024)Depression is a common mental health issue that affects many people, often making them feel persistently sad or lose interest in activities. Despite its global impact, with 246 million people affected worldwide, access to ... -
Comprehensive Review of Mobile Personal Assistant (Chatbot) for Depression Patients Using Emotion Recognition :A Large Language Model
Sarathchandra, AWTD; Vidanage, BVKI (2024-09) -
Computer Vision for Object Detection in Assistive Technologies: A Comparative Review
Marapperuma, M; Vidanage, BVKI (2025-02-06)This paper aims to identify the major object detection techniques performed on assistive technologies for visually impaired individuals, with a particular focus on the shift from conventional computer vision methodologies ... -
Deep Learning for Early Skin Cancer Detection: A Convolutional Neural Network Approach
Perera, NDEA; Lakmali, SMM; Yakupitiya, KC; Vidanage, BVKI (2024-09)Skin cancer diagnosis often involves a lengthy waiting period for biopsy results, leaving patients in uncertainty and at risk. A patient with a suspicious lesion may wait one to three weeks for biopsy results, impacting ... -
Deep Learning for Early Skin Cancer Detection: A Convolutional Neural Network Approach
Perera, NDEA; Lakmali, SMM; Yakupitiy, KC; Vidanage, BVKI (2024-09) -
EEG-Based Seizure Detection and Pre-Ictal Prediction: A Review with Emphasis on Reproducible Modelling
Weliwatta, SK; Kalansooriya, LP; Vidanage, BVKI; Bandara, DMAD (2026-01)Epilepsy is a widespread neurological disorder characterized by recurrent and unpre dictable seizures, creating significant clinical, social, and safety challenges for affected individuals. Electroencephalography is the ... -
Enhancing Personalization of Fitness Tracking Systems with The Help of Data Analytics
De Silva, LIK; Ganepola, GAD; Vidanage, BVKI (2025-02-06)This review explores the application of data analytics to enhance personalization in fitness tracking systems, a growing need within the expanding domain of wearable and mobile health technology. Although fitness trackers ... -
Enhancing Physical Rehabilitation through Gaming and Gaming NPCs: A novel approach
Silva, PSPC; Vidanage, BVKI (2024-09) -
Enhancing Physical Rehabilitation through Gaming and Gaming NPCs: A Novel Approach
Silva, PSPC; Vidanage, BVKI (2024)Rehabilitation is a well-established process that takes place under the supervision of doctors and involves serious time, effort, and money. This review focuses on the incorporation of video games and gaming NPCs as an ... -
Explainable Deep Learning and Ontology Based Reasoning for ECG Arrhythmia Detection: A Comprehensive Review
Dilrukshi, SPS; Vidanage, BVKI; Herath, HMDS (2026-01)Electrocardiogram based arrhythmia detection is a critical component of early diagnosis and management of cardiovascular diseases, which continues to impose a significant global health burden. Recent advances in data-driven ... -
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) -
Leveraging Natural Language Processing (NLP) to Enhance Patient Fedback Analysis and Improve Shared Antenatal Care at University Hospital KDU, Sri Lanka
Thihansith, GPTR; Madushanka, MKP; Wanniarachchi, WAAM; Perera, A; Vidanage, BVKI (2024)In Sri Lanka, approximately 94% of expectant mothers rely on public-sector health facilities for antenatal care. However, the manual collection of information on pregnant mothers using pen and paper presents significant ... -
A Multi Factor Approach of Spot Price Forecasting via Deep Learning
Kajamohan, K; Vathsala, T; Jananie, J; Vidanage, BVKI (2024)The potential cost savings and the high scalability behind the spot instances benefit the cloud customers compared to On-demand instances fit for workloads that need uninterrupted compute power. However, the termination ... -
A Review on Brain Tumors and Artificial Intelligence: Exploring the Significance of Artificial Intelligence in Medical Imaging
Bambaradeniya, RRMYS; Vidanage, BVKI (2024-01-17)The escalating prevalence of brain tumors presents an intricate challenge to modern healthcare, demanding precise and prompt diagnosis and treatment. Their multifaceted nature, varying forms, and intricate anatomical ... -
A Review on Deep Learning for Automated Hair Damage Detection and Personalized Care Recommendations
Upethra, NTPGB; Vidanage, BVKI; De S Sirisuriya, SCM (2026-01)Hair damage detection has evolved with deep learning techniques providing different approaches tautomate hair health assessment by investigating profile-based hair damage identification that explore features such as ... -
Systematic Review on Analyzing the Most Effective Method for Deepfake Detection of Images Generated by AI
Senarathne, DMUC; Vidanage, BVKI (2025-02-06)The rapid advancements in Artificial Intelligence and Deep Learning have revolutionized synthetic media creation, with Deepfakes emerging as a significant societal threat. These manipulated images and videos, often ...
