U
Uzzal Kumar Acharjee
Researcher at Jagannath University
Publications - 26
Citations - 167
Uzzal Kumar Acharjee is an academic researcher from Jagannath University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 3, co-authored 18 publications receiving 34 citations. Previous affiliations of Uzzal Kumar Acharjee include University of Dhaka.
Papers
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Journal ArticleDOI
Blockchain-SDN based Energy-Aware and Distributed Secure Architecture for IoTs in Smart Cities
Md. Jahidul Islam,Anichur Rahman,Sumaiya Kabir,Md. Razaul Karim,Uzzal Kumar Acharjee,Mostofa Kamal Nasir,Shahab S. Band,Mehdi Sookhak,Shaoen Wu +8 more
TL;DR: The authors present a distributed and decentralized blockchain-software-defined networking (SDN)-based energy-aware architecture for IoT in smart cities that provides higher throughput, lower response time, and lower gas consumption than existing works for smart cities.
Proceedings ArticleDOI
Cyberbullying Detection on Social Networks Using Machine Learning Approaches
TL;DR: In this article, the authors designed and developed an effective technique to detect online abusive and bullying messages by merging natural language processing and machine learning, using bag-of-words and term frequency-inverse text frequency (TFIDF).
Book ChapterDOI
An SDN Based Distributed IoT Network with NFV Implementation for Smart Cities
TL;DR: The authors have proposed an SDN based distributed IoT network with NFV implementation for smart cities to improve load balancing, scalability, availability, integrity, and security of the whole network.
Journal ArticleDOI
An efficient hybrid system for anomaly detection in social networks
Md. Shafiur Rahman,Md. Shafiur Rahman,Sajal Halder,Sajal Halder,Md. Ashraf Uddin,Md. Ashraf Uddin,Uzzal Kumar Acharjee +6 more
TL;DR: In this article, a hybrid anomaly detection method named DT-SVMNB was developed that cascades several machine learning algorithms including decision tree (C5.0), Support Vector Machine (SVM) and Naive Bayesian classifier (NBC) for classifying normal and abnormal users in social networks.
Journal ArticleDOI
Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture
TL;DR: In this article , a CNN based deep learning system was proposed to diagnose Covid-19 from chest X-ray images, which is a critical task for human being and it could be overlooked as both the disease have almost similar pixel features on X-Ray.