A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

Smart water resource management using Artificial Intelligence—A review

SR Krishnan, MK Nallakaruppan, R Chengoden… - Sustainability, 2022 - mdpi.com
Water management is one of the crucial topics discussed in most of the international forums.
Water harvesting and recycling are the major requirements to meet the global upcoming …

From assistive technologies to metaverse—Technologies in inclusive higher education for students with specific learning difficulties: A review

G Yenduri, R Kaluri, DS Rajput, K Lakshmanna… - IEEE …, 2023 - ieeexplore.ieee.org
The development of new technologies and their expanding use in a wide range of
educational environments are driving the transformation of higher education. Assistive …

Federated learning for edge computing: A survey

A Brecko, E Kajati, J Koziorek, I Zolotova - Applied Sciences, 2022 - mdpi.com
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …

Blockchain for internet of underwater things: State-of-the-art, applications, challenges, and future directions

S Bhattacharya, N Victor, R Chengoden… - Sustainability, 2022 - mdpi.com
The Internet of Underwater Things (IoUT) has become widely popular in the past decade as
it has huge prospects for the economy due to its applicability in various use cases such as …

Genetic clustered federated learning for COVID-19 detection

DR Kandati, TR Gadekallu - Electronics, 2022 - mdpi.com
Coronavirus (COVID-19) has caused a global disaster with adverse effects on global health
and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …

Unleashing the prospective of blockchain-federated learning fusion for IoT security: A comprehensive review

M Gupta, M Kumar, R Dhir - Computer Science Review, 2024 - Elsevier
Abstract Internet-of-things (IoT) is a revolutionary paragon that brings automation and
easiness to human lives and improves their experience. Smart Homes, Healthcare, and …

A novel ship speed and heading estimation approach using radar sequential images

X Xu, B Wu, L **e, ÂP Teixeira… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes an approach to estimate ship dynamic features (ie, speed and
heading) using radar sequential images, which can be used to assess the ship-ship collision …

Enhancing privacy-preserving intrusion detection through federated learning

A Alazab, A Khraisat, S Singh, T Jan - Electronics, 2023 - mdpi.com
Detecting anomalies, intrusions, and security threats in the network (including Internet of
Things) traffic necessitates the processing of large volumes of sensitive data, which raises …

Limitations and future aspects of communication costs in federated learning: A survey

M Asad, S Shaukat, D Hu, Z Wang, E Javanmardi… - Sensors, 2023 - mdpi.com
This paper explores the potential for communication-efficient federated learning (FL) in
modern distributed systems. FL is an emerging distributed machine learning technique that …