Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge

A Qayyum, K Ahmad, MA Ahsan… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Despite significant improvements over the last few years, cloud-based healthcare
applications continue to suffer from poor adoption due to their limitations in meeting stringent …

The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions

YS Afridi, K Ahmad, L Hassan - International Journal of Energy …, 2022 - Wiley Online Library
Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources
of energy. With every passing year, our dependency on renewable sources of energy is …

[HTML][HTML] Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey

E Dritsas, M Trigka - Future Internet, 2024 - mdpi.com
The integration of machine learning (ML), blockchain, and the Internet of Things (IoT) in
smart cities represents a pivotal advancement in urban innovation. This convergence …

Analyzing the adoption challenges of the Internet of things (Iot) and artificial intelligence (ai) for smart cities in china

K Wang, Y Zhao, RK Gangadhari, Z Li - Sustainability, 2021 - mdpi.com
Smart cities play a vital role in the growth of a nation. In recent years, several countries have
made huge investments in developing smart cities to offer sustainable living. However, there …

Ml attack models: adversarial attacks and data poisoning attacks

J Lin, L Dang, M Rahouti, K Xiong - arXiv preprint arXiv:2112.02797, 2021 - arxiv.org
Many state-of-the-art ML models have outperformed humans in various tasks such as image
classification. With such outstanding performance, ML models are widely used today …

Earthquake-induced building-damage mapping using Explainable AI (XAI)

SS Matin, B Pradhan - Sensors, 2021 - mdpi.com
Building-damage mapping using remote sensing images plays a critical role in providing
quick and accurate information for the first responders after major earthquakes. In recent …

Bibliometric mapping of trends, applications and challenges of artificial intelligence in smart cities

S Harnal, G Sharma, S Malik, G Kaur… - EAI Endorsed …, 2022 - publications.eai.eu
INTRODUCTION: The continued growth of urbanization presents new challenges. This, in
turn, will lead to pressure for sustainable environment initiatives, with demands for more and …

Preventing long-term risks to human rights in smart cities: A critical review of responsibilities for private developers of AI

L Lane - Internet Policy Review, 2023 - research.rug.nl
Privately developed artificial intelligence (AI) systems are frequently used in smart city
technologies. The negative effects of such systems on individuals' human rights are …

A secure and reliable framework for explainable artificial intelligence (XAI) in smart city applications

M Algarni, S Mishra - Engineering, Technology & Applied Science …, 2024 - etasr.com
Living in a smart city has many advantages, such as improved waste and water
management, access to quality healthcare facilities, effective and safe transportation …