[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Cyber-physical-social system and incident management

A Khang, V Hahanov, GL Abbas… - AI-Centric Smart City …, 2022 - taylorfrancis.com
The issue of security is a global problem and manifests itself in many areas. One of these
areas is the cyber-physical-social system. Physical and virtual threats are always in the …

Smart city ecosystem: Concept, sustainability, design principles, and technologies

S Rani, P Bhambri, A Kataria… - AI-centric smart city …, 2022 - taylorfrancis.com
The rapid evolution of smart cities is giving workable solutions to many challenges faced in
urban areas. Information and communication technology (ICT) is playing a very vital role in …

Quantum machine learning in healthcare: Developments and challenges

S Rani, PK Pareek, J Kaur, M Chauhan… - … on Integrated Circuits …, 2023 - ieeexplore.ieee.org
Machine learning is playing a very significant role to process voluminous data and its
classification in a variety of domains. Due to better performance and rapid development in …

Integration of IoT, Big Data, and Cloud Computing Technologies: Trend of the Era

S Rani, P Bhambri, A Kataria - Big Data, Cloud Computing and IoT, 2023 - taylorfrancis.com
Today, technology has revolutionized almost every sphere of day-to-day life. It contributes
immensely by facilitating better services and providing quality lives to the users. Technology …

Analysis of Credit Card Fraud Data Using Various Machine Learning Methods

C Chethana, PK Pareek - Big Data, Cloud Computing and IoT, 2023 - taylorfrancis.com
The credit card details of customers are very important. Due to online transactions, fraud is
also increasing by those who have unauthorized access. Various machine learning …

Recent Trends in Machine Learning Techniques, Challenges and Opportunities

S Kannadhasan, K Venusamy… - Big Data, Cloud …, 2023 - taylorfrancis.com
Artificial intelligence can include machine learning. At its essence, machine learning is a
process of providing data to a machine or model and allowing it to discover new things on its …

An IoT-based emotion analysis and music therapy

KD Rajakumar, J Mohan… - Big Data, Cloud …, 2023 - taylorfrancis.com
Music therapy is a mussic-engaged therapeutic approach that provides an alternative
medicine treatment for patients affected by brain disorders, post-surgery trauma, cancer, and …

Heart Disease Prediction Using Machine Learning and Big Data

V Rawat, DP Singh, N Singh, S Negi - Big Data, Cloud Computing …, 2023 - taylorfrancis.com
Blood circulation in the body is very crucial for life. So, one of the most important parts of our
body is the heart since it circulates blood to every part of our body. Any damage to the heart …

Relevance of Multifactor Authentication for Secure Cloud Access

C Singh, R Kaur - Big Data, Cloud Computing and IoT, 2023 - taylorfrancis.com
Authentication is one of the key aspects that establish information security. When a user is to
be authenticated in a cloud environment, the deployment of a strong, effective and robust …