Browsing by Subject "Ensemble Learning"

Automobile Insurance Claim Fraud Detection using Machine Learning Techniques

Perera, Savidya (2022)

"As of today, Automobile insurance companies currently use a manual process to investigate fraudulent claims. Recent studies have shown that manual process has failed, and the companies are losing billions of profit every ...

CardioRisk Pro (Heart Disease Prediction System)

Gunathilaka, Sayuru (2023)

"Heart disease is a prevalent and severe health condition that impacts a vast number of people globally. Being one of the top causes of mortality, timely detection and accurate prediction of heart disease can play a vital ...

CropDoc: A Deep Ensemble Learning Approach for Plant Pathology Detection

Umayanga, Athindu (2022)

"Sri Lanka is a country with a rich background in agriculture that was called the ‘Granary of the east’, which resembles the rich agricultural status of the country. Agriculture plays a vital role in the economic growth ...

EMuTheraphy Multi Emotion based Music Therapy using Ensemble Learning

Weerasinghe, Tharindu (2023)

"Recent years have seen a rise in interest in music therapy as a method for enhancing one's mental health; consequently, many psychologists are now recommending that their patients who are struggling with mental health ...

An Ensemble Approach for Acne Scar Classification and Treatment Recommendation System

Liyanawadu, Rashmi (2023)

"This document addresses the issue that is currently a major concern for a significant number of people who suffer both physically and psychologically because of acne scars. Acne scarring can be taken place as a result of ...

Ensemble approach to predict cricket match score before a match using machine learning techniques

S.D, Pathirana, (IIT, 2020)

Sport activity is a competitive activity in which individuals or teams aim to use, maintain, or improve physical ability and skills providing entertainment to participants and spectators. Cricket is the most famous ...

An Ensemble Approach to Predict Student Final Score Using Machine Learning Techniques.

Samarasekera, Rehan Sewranga (2019)

Academic performance is used to measure how instructors, students, and education institution has achieved their educational goals. It's one of the critical factors which evaluates the level of education. The main problem ...

An Ensemble Machine Learning Model for Inflation Forecasting

Nakandala, Pathum (2023)

Forecasting inflation is an important task for various reasons. It can be used for the central banks to make effective economic and monetary policies to stabilize a country’s economy. It can be also useful for the companies ...

RupeeLenz: Sri Lankan Currency Detection Tool for Visually Impaired using Machine Learning

Thuvaragan, Sabesan (2023)

"Despite the rise of online payments, physical money, commonly referred as money, is still regarded as the main exchange tool. The ability to locate money for daily needs is not a problem for a normal individual, but it ...

Sarcastically

Kuruppu, Ryan (2022)

Sarcasm is one of the most well-known but easily misunderstood parts of the English language. While sarcasm is understood well to a vast majority, the uniqueness of sarcasm is that no one thinks about it the same way, when ...

SerpIn: A Deep Learning approach for venomous & non-venomous Serpents and Insect species Identification

Samarasinghe, Buddhin Saroj (2023)

"In recent years snake and insect attacks have become a huge problem worldwide. Most species have similar colors and shapes, which makes it hard to tell them apart using typical techniques. Similarly, identifying different ...

SOCPRED : An Ensemble Approach to Predict Match Outcomes of Scottish Premiership

Gunarathna, Horanage (2022)

Soccer is the most popular sport on the planet. Soccer is governed by the FIFA organization. Predicting soccer match outcomes is interesting for bettors and soccer fans. There are few studies that have been done to predict ...

Browsing by Subject "Ensemble Learning"

Browsing by Subject "Ensemble Learning"

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