Browsing by Subject "Machine Learning"
Now showing items 1-20 of 32
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An Android Application to Manage House Rental and Maintenance in Sri Lanka
(2022-08)The impact of COVID-19 outbreak was felt across all real estate management. A slowdown in the house rental and maintenance management system can be anticipated, as a result of the lock-down and limitations in financing. ... -
An Approach to Examine and Recognize Anomalies on Cloud Computing Platforms with Machine Learning Concepts
(2024-01)Cloud computing is one of the most rapidly growing computing concepts in today's information technology world. It connects data and applications from various geographical locations. A large number of transactions and the ... -
Autoencoder Empowered EEG Data Classification: A Self-Supervised Learning Approach
(2024-09)Electroencephalogram (EEG) analysis plays a crucial role in understanding brain activity and diagnosing neurological conditions. Traditional methods often struggle with the complexity and high dimensionality of EEG ... -
Development of a Machine Learning-Based Methodology for Accurate Staging of Lumbar Intervertebral Disc Degeneration Using T2-Weighted Magnetic Resonance Imaging (MRI) and Radiomics Features
(2024-09)Determining the stages of Lumbar Intervertebral Disc Degeneration (LIVDD) correctly is important for accurate diagnosis. This study sought to develop a robust methodology combining advanced image analysis techniques and ... -
Diabetes Prediction System using Machine Learning
(2020)Abstract: Diabetes is a deadly chronic disease which affects entire body system harmfully. Millions of people are affected by this disease and a considerable number of patients die every year because of its side effects. ... -
Diabetic Prediction System Using Data Mining
(2016)Diabetes is one of deadliest diseases in the world. As per the existing system in Sri Lanka, patients have to visit a diagnostic center, consult their doctor and wait for a day or more to get their result. Moreover, every ... -
Early Detection and Identification of Blister Blight Disease in Tea Plantations Using Deep Learning and Real-Time Environmental Data
(2024-09)Tea, one of the world's most widely consumed beverages, faces significant threats from Blister Blight disease, particularly in hot and humid regions. This disease, caused by the fungus Exobasidium vexans, leads to ... -
Early Warning System for Landslides Using Wireless Sensor Networks
(2018)Landslides occur in many areas in Sri Lanka, and they cause considerable damage to natural habitat, environment, economy and other resources. Monitoring, predicting and controlling are the three major challenges associated ... -
Heart Disease Risk Identification Using Machine Learning Techniques for A Highly Imbalanced Dataset: A Comparative Study
(2022-11)Heart disease has become one of the most prevailing universal diseases in the world today. It is estimated that 32% of all deaths worldwide are caused due to heart diseases. One of the major causes for this is that its ... -
Identifying the Most Optimum Technology to Detect Pimples and Facial Skin Diseases
(2025-02-06)The rising prevalence of facial dermatoses, including acne and their variants, ne cessitates the development of effective diagnosis and classification techniques. This systematic review evaluates optimal technologies for ... -
Machine Learning Based Mobile Robot Localization in Indoor Environments
(2022)The mobile robot Indoor Positioning Systems (IPS) are widely used in the automation industry to find the location of moving robots in indoor environments. Existing IPS are expensive, and designs are complex. Moreover, ... -
New Customer Churn Prediction Model for Mobile Telecommunication Industry
(2018)The present Sri Lankan telecommunication industry remains extremely dynamic by constantly changing the landscape of new services, technologies, and carriers. Thus customers have more choices. So, predicting customer churn ... -
Optimum Shirt Design Prediction Tool for Apparel Industry
(2020)Abstract: The apparel industry is one of the world’s major upcoming trends of industrial, economical science. Apparel industry has interconnected design producing and manufacturing issues have become a greater concern. ... -
The Potential of One-Shot Learning for Drug Discovery – A Review
(2022)Compounds with specific chemical properties for treating diseases are sought through drug discovery. The search for drugs can be made more efficient, less expensive, and less time-consuming by incorporating automation. ...