Browsing by Subject "Machine Learning"
Now showing items 1-20 of 26
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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 ... -
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 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 ... -
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. ... -
Prediction of Air Quality Index in Colombo
(2022-01-10)Air is always considered as the main critical factor on which human survival depends on. The AQI or long firmly air quality index is the index value that illustrates qualitatively the current state of the air. The ... -
Research Directions for Skin Disease Identification Using Image Processing and Machine Learning
(2019)Skin disease is a common issue faced by many in our society. It often decreases the quality of life and may lead to a disability. Recent AI advancements offers to help people with poor access to skin disease specialists, ...