Category: IEEE 2020 Projects

Here you will find list of IEEE Project topics that we can implement in the least time. Check out different topics & let us know your interest!


Mining Domain Knowledge on Service Goals from Textual Service Descriptions : IEEE 2020 [Data Mining]

Mining Domain Knowledge on Service Goals from Textual Service Descriptions: IEEE 2020 [Data Mining] With the rapid development of service-oriented computing, a large number of software applications have been developed based on the services computing framework. It is well known that software engineering is a knowledge-intensive activity, and thus the […]


Research on E-commerce Potential Client Mining: IEEE 2020 Project Topic [Data Mining]

Research on E-commerce Potential Client Mining Applied to Apriori Association Rule Algorithm The Apriori algorithm is an algorithm based on association rules. According to the association rules, it can recommend the products to the users, thereby saving the user’s shopping time and making the user’s shopping more convenient and faster, […]


Detecting Regions At Risk for Spreading COVID-19 Using Cellular Wireless Network

Detecting Regions At Risk for Spreading COVID-19 Using Existing Cellular Wireless Network Functionalities The purpose of this article is to introduce a new strategy to identify areas with high human density and mobility, which are at risk of spreading COVID-19. Crowded regions with actively moving people (called at-risk regions) are […]


Deep bidirectional classification model for COVID-19 disease infected patients

Deep bidirectional classification model for COVID-19 disease infected patients In December of 2019, a novel coronavirus (COVID-19) appeared in Wuhan city, China, and has been reported in many countries with millions of people infected within only four months. Chest computed tomography (CT) has proven to be a useful supplement to […]


COVID-19 Future Forecasting Using Supervised Machine Learning Models

COVID-19 Future Forecasting Using Supervised Machine Learning Models Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models have long been used in many application domains which needed the identification and […]


A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT

A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 diagnosis on chest CT is helpful to counter the outbreak of SARS-CoV-2. […]