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B-SAHIC: A Blockchain based Secured and Automated Health Insurance Claim processing system
(United International University, 2022-01-16)
In recent years, Blockchain technology has been successfully used in many dis-
tributed environments where different stakeholders, who do not have any trust
relationship among them, interact each other in a secured and ...
Customer Churn Analysis and Prediction
(United International University, 2022-02-03)
One of the biggest data domain and most demanding use cases of recent time is Customer
churn prediction. For a healthy and growing business churn prediction is an important
indicator. This project aims to develop a ...
Web Application for Churn Prediction
(2022-03-30)
Customers are the driving force for a business to thrive. To make a new product, decisions have to be made whether this is something which the customers will resonate with. This is why it is absolutely necessary to understand ...
A Stable Clustering Architecture for Efficient Routing and Resource Allocation in Vehicular Ad Hoc Networks
(UIU, 2022-04-05)
Vehicular Ad hoc Network (VANET) is an area of wireless networks, which makes connections among vehicles to enable vehicle to vehicle or vehicle to infrastructure communication and supports diversified applications related ...
Skin Cancer Classification Using Deep Learning
(UIU, 2022-06-03)
Cancer begins when cells in the body begin to multiply uncontrolled. Cancer can develop in any area of the body and spread to other parts. Cancer of the skin is one of the most prevalent forms of the disease found all over ...
Improving Machine Learning Methods for Handling Data Imbalance Problem
(2022-07)
Class unbalanced datasets are widespread in various fields, including health, security, and banking. When dealing with imbalanced datasets, a standard supervised learning algorithm is biased toward the dominant class. In ...
Building Resource Aware Self-Healing Modern Cloud Native Environment on Commodity Hardware for Adoption of Microservice Architecture
(UIU, 2022-09-28)
Years ago, even today most of the applications were developed and architected in
old school monolithic approach where each of the components of the software are tightly
coupled; running on a single process or multiple ...
Accurately Predicting Microbial Phosphorylation Sites Using Evolutionary and Structural Features
(2022-11-11)
Post-translational modification (PTM) is a biological process involving a protein’s enzymatic changes after its translation by the ribosome. Phosphorylation is one of the most critical PTMs that occurs when a phosphate ...
A New Methodology for Predicting Teachers' Job Satisfaction Using Machine Learning Approaches - Bangladesh Perspective
(2022-12-17)
Shortage of qualified teachers and higher turnover rates have far-reaching negative effects on students' achievement and overall educational quality. Since satisfied teachers are less likely to quit their jobs and are more ...