A review on VANET research: Perspective of recent emerging technologies

MJN Mahi, S Chaki, S Ahmed, M Biswas… - IEEE …, 2022 - ieeexplore.ieee.org
Recent technology has modeled VANET (vehicular adhoc network) communication well in
terms of privileges to derive vehicular communication technologically to save time, energy …

Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future …

A Rahman, J Islam, D Kundu, R Karim… - International Journal …, 2023 - Wiley Online Library
As an emerging technology, blockchain (BC) has been playing a promising role in today's
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

A Rahman, MS Hossain, G Muhammad, D Kundu… - Cluster computing, 2023 - Springer
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

Cyber-physical system security based on human activity recognition through IoT cloud computing

S Achar, N Faruqui, M Whaiduzzaman, A Awajan… - Electronics, 2023 - mdpi.com
Cyber-physical security is vital for protecting key computing infrastructure against cyber
attacks. Individuals, corporations, and society can all suffer considerable digital asset losses …

A review of emerging technologies for IoT-based smart cities

M Whaiduzzaman, A Barros, M Chanda, S Barman… - Sensors, 2022 - mdpi.com
Smart cities can be complemented by fusing various components and incorporating recent
emerging technologies. IoT communications are crucial to smart city operations, which are …

Cuckoo search optimization-based energy efficient job scheduling approach for IoT-edge environment

M Bakshi, C Chowdhury, U Maulik - The Journal of Supercomputing, 2023 - Springer
Recently developed IoT devices are capable of gathering, storing, and processing more
data than ever before. This calls for the need for scalability. Through the use of edge …

Analyzing the effectiveness of several machine learning methods for heart attack prediction

K Oliullah, A Barros, M Whaiduzzaman - Proceedings of the Fourth …, 2023 - Springer
Heart attack or heart failure cases are rising quickly each day, thus it is crucial and
worrisome to anticipate any problems in advance. A heart attack is a significant medical …

Designing and Implementing a Distributed Database for Microservices Cloud-Based Online Travel Portal

B Barua, M Whaiduzzaman… - Sentiment Analysis and …, 2023 - Springer
Designing and implementing a distributed database for a microservices cloud-based online
travel portal has been proven essential for handling a large volume of the database, load …

Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data

SMN Nobel, S Sultana, SP Singha, S Chaki, MJN Mahi… - Information, 2024 - mdpi.com
Recognizing fraudulent activity in the banking system is essential due to the significant risks
involved. When fraudulent transactions are vastly outnumbered by non-fraudulent ones …

Impact prediction of online education during COVID-19 using machine learning: a case study

SM Hossain, MM Rahman, A Barros… - … : Selected Papers of …, 2023 - Springer
The transition from traditional to online education is challenging and has many obstacles in
various situations. Due to the Covid-19 situation, we use digital blended education from the …