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Prediction of Customer Churn Status and Policy Benefits for Passenger Car Segment of Motor Insurance Based on Machine Learning Approaches Using Sri Lankan Motor Insurance Data

Wijerathne, Hewa Welengodage Erangi Hansamala (IIT, 2023)

"General (Non-life) insurance has based on losses or damage related to particular financial event. Motor insurance is a subset of general insurance and it is a kind of insurance that acquired vehicles and in return offers ...

Energy Efficient Vm Consolidation in Big Data Computing Environments

Jayathilake, T M Chathurika Senani (IIT, 2023)

"Virtual Machine Consolidation (VMC) facilitates the optimal resource utilisation, energy conservation and quality of service. VMC is a technique which is performed to maintain a minimal number of active hosts by migrating ...

Prediction of Market Price for Used Cars in Sri Lanka Based on Machine Learning Approaches

Basnayaka, Deveendee (IIT, 2023)

"Due to the import limitations in Sri Lanka, vehicle price had artificially risen to a high level of unusual prices. Consequently the price of secondhand cars get doubled with the increasing demand for used cars. The ...

Machine Learning Model to Detect Chorus Effect in Synthesized Organ-Like Sounds

De Silva, Uditha (IIT, 2023)

"Chorus audio effect is used widely in the music industry like many other common audio effects such as reverb, distortion, compression, pitch shifting. The purpose of the effect is to make a given single source audio ...

Development of an analytical tool to forecast the Probability of Default in Banking and Finance sector

Gurusinghe, Jayani (IIT, 2023)

Credit Risk Management is a critical function in the field of Banking and Finance. With the several economic crises that took place in the world over the past few decades, the need to follow good credit risk management ...

Concept Drift Detection Using Quadtree based Spatial Mapping of Streaming Data in Fake Review Detection Domain

Heraliyawala, Devni (IIT, 2023)

"Fake reviews have become a significant issue in online platforms that rely on user feedback to evaluate products. To address this issue, several machine learning methods for fake review detection have been developed. ...

Trajectory Planning of the Vehicle Using Deep Learning Technique Lstm and Transfomer

Rabindranathan, Vimaniya (IIT, 2023)

This research focus of trajectory planning of the vehicle using deep learning techniques Long Short-Term Memory (LSTM) and Transformer. The goal is to find precious trajectory planning model that can predict a vehicle’s ...

Discovering Tourists’ Preferences of Sri Lankan Food as a Form of Destination Identity

Ranaweera, Erandika (IIT, 2023)

"Food tourism is emerging as a vital component of the tourism research. Food reflects a destination’s culture, their eating habit, history, and people. As name suggests, food tourism is about exploring food as a form of ...

Emotion Recognition in Conversations Using Multimodality Approach

Dulanjani, Yamuna (IIT, 2023)

" Emotions play an important role in communication and people interactions. Even in face- to-face conversations, it's challenging to accurately interpret the feelings of the other person due to the complexity of emotions ...

Utilising Machine Learning and Xai to Evaluate and Forecast Employee Turnover Intent Among Software Engineers in Sri Lanka

Amarathunga, Sandun (IIT, 2023)

The IT industry experiences a significant level of employee turnover due to the tremendous demand it faces. Within a range of employee classifications, software engineers play significant roles within the IT sector. As a ...

Email Open and Click Recommendation Engine for Pearson Notification Platform

Koggalahewa, Tharindu (IIT, 2023)

"This research presents the development of an email open and click status prediction application for Pearson's Notification Platform (PNP) using machine learning algorithms, with a focus on the email subject line as a ...

Real-time Road Traffic Monitoring Using Apache Kafka and Spark

Aberathne Siriwardane, Thanuja Nishadi (IIT, 2023)

"Traffic congestion is enormously increasing thus management of traffic flows especially in big cities are more challenging. Further, deploying and maintaining ground-based detection devices are prone to failures and ...

Object detection and notification for visually challenged people

Kirindigoda, Janaka (IIT, 2023)

There are many manual and technological solutions that exist to support visually impaired people. But they have many drawbacks such as lack of information to user, unable to identity the obstacle correctly, Cost, not ...

An adaptive framework to improve the quality of temporal weather data

Mohottige, Sumudu (IIT, 2023)

Weather forecasting is a vital component that has a tremendous impact on a modern- day human’s day-to-day life. The modern-day human relies on the forecasted weather data to plan their tasks. Therefore, the effectiveness ...

System for Customer Service Automatic Answering Of Domain-Specific Questions From Documentation Guide

Ratnajothy, Sangeethanan (IIT, 2023)

One of the ways to acquire knowledge is Question Answering (QA). For customers to acquire information in a more efficient way than the traditional way of agents answering to generic queries of the customer, this research ...

An Approach to Improve Machine Reading Comprehension based Question Answering

Mohamed, Azim (IIT, 2023)

Question answering is one of the main concepts that come under natural language processing, and it can be also referred to as a branch of artificial intelligence. As the name describes, question answering systems focus on ...

Suggesting waypoints to autonomous surface vessels (ASV) for effective emergency response using machine learning

K.L.U.D, Lekamge, (IIT, 2020)

With the advancements in the maritime industry, which delivers almost 90% of the world trade, the frequency of maritime activities has drastically increased resulting a major concern in maritime safety. According to ...

Deep learning for ECG classification

B.H.N, Sudila, (IIT, 2020)

The global number one deadliest cause is Cardiovascular diseases (CVDs) and it is responsible for 17.9 million global deaths annually. CVDs are a group of disorders of the heart and blood vessels and include coronary ...

Know your drug (KYD) drug supply chain management system for counterfeit drug using a hybrid block chain system

N.L.S, Sithara, (IIT, 2020)

Counterfeit drugs are the one of most serious problems in pharmaceutical industry nowadays. According to health reports of world health organization and the health research funding organizations, nearly 10-30% of the ...

FOODY - Food recipe recommendation system using sentiment analysis based neural network

W.H.R.M, Wickramanayaka, (IIT, 2020)

Present world has seen rapid growth online review sites with a multitude of platforms available such as yummly.com, delish.com, foodnetwork.com, allrecipies.com and more food lovers tend to do searching recipes throughout ...

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