Category: IEEE Papers


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, […]


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. […]


Block chain based data security

Block chain based data security enhanced IoT server platform Abstract— In this paper, we propose a new IoT server platform by introducing a block chain and store sensor data in a block chain. Mobius selected IoT server platform, Mobius authenticates IoT devices conforming to oneM2M standard, receives real-time sensor data, […]


Information Sharing for Supply Chain Management

Information Sharing for Supply Chain Management based on Block Chain Technology Abstract— Supply Chain Management systems provide information sharing and analysis to companies and support their planning activities. They are not based on the real data because there is asymmetric information between companies, then leading to disturbance of the planning […]


Secure Remote User Authenticated Key

Secure Remote User Authenticated Key Establishment Protocol for Smart Home Environment Abstract—The Information and Communication Technology (ICT) has been used in wide range of applications, such as smart living, smart health and smart transportation. Among all these applications, smart home is most popular, in which the users/residents can control the […]


Web Data Extraction of Dynamic Content

Towards Data Extraction of Dynamic Content from JavaScript Web Applications Abstract—: An enormous data in World Wide Web and social media has open opportunities for business and organization to get the significant value that leads to efficient operations. As a result, Web Data Extraction has become an important tool for […]


Indexing Evolving Events from Tweet Streams

Indexing Evolving Events from Tweet Streams

Indexing Evolving Events from Tweet Streams Abstract—:Tweet streams provide a variety of real-time information on dynamic social events. Although event detection has been actively studied, most of the existing approaches do not address the issue of efficient event monitoring in the presence of a large number of events detected from […]