Internet of medical things privacy and security: Challenges, solutions, and future trends from a new perspective

F Kamalov, B Pourghebleh, M Gheisari, Y Liu… - Sustainability, 2023 - mdpi.com
The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the
medical domain, allows data to be transmitted across communication networks. In particular …

[HTML][HTML] Uniting cyber security and machine learning: Advantages, challenges and future research

M Wazid, AK Das, V Chamola, Y Park - ICT express, 2022 - Elsevier
Abstract Machine learning (ML) is a subset of Artificial Intelligence (AI), which focuses on the
implementation of some systems that can learn from the historical data, identify patterns and …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Unlocking the future: fostering human–machine collaboration and driving intelligent automation through industry 5.0 in smart cities

A Adel - Smart Cities, 2023 - mdpi.com
In the quest to meet the escalating demands of citizens, future smart cities emerge as crucial
entities. Their role becomes even more vital given the current challenges posed by rapid …

[Retracted] New Opportunities, Challenges, and Applications of Edge‐AI for Connected Healthcare in Internet of Medical Things for Smart Cities

MM Kamruzzaman, I Alrashdi… - Journal of Healthcare …, 2022 - Wiley Online Library
Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …

Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey

S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …

Internet of intelligence: A survey on the enabling technologies, applications, and challenges

Q Tang, FR Yu, R **e, A Boukerche… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …

AI-enhanced multi-stage learning-to-learning approach for secure smart cities load management in IoT networks

B Wang, M Dabbaghjamanesh, A Kavousi-Fard, Y Yue - Ad Hoc Networks, 2024 - Elsevier
In the context of rapidly urbanizing smart cities reliant on IoT networks, efficient load
management is critical for sustainable energy use. This paper proposes an AI-enhanced …

Surveying neuro-symbolic approaches for reliable artificial intelligence of things

Z Lu, I Afridi, HJ Kang, I Ruchkin, X Zheng - Journal of Reliable Intelligent …, 2024 - Springer
Abstract The integration of Artificial Intelligence (AI) with the Internet of Things (IoT), known
as the Artificial Intelligence of Things (AIoT), enhances the devices' processing and analysis …