B

Baker, Stephanie, and Xiang, Wei (2023) Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities. IEEE Communications Surveys & Tutorials, 25 (2). pp. 1261-1293.

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Guo, Caishan, Luo, Fengji, Yang, Jiajia, and Cai, Zexiang (2023) Transactive Operational Framework for Internet Data Centers in Geo-Distributed Local Energy Markets. IEEE Transactions on Cloud Computing, 11 (2). pp. 1133-1143.

H

Huang, Yi, and Song, Insu (2022) Cardio Vec: Searching Heart Health Information Using ECG Signals. In: Proceedings of the 7th International Conference on Computational Intelligence and Applications. pp. 243-247. From: ICCIA 2022: IEEE 7th International Conference on Computational Intelligence and Applications, 24-26 June 2022, Nanjing, China.

J

Jusak, Jusak, and Zhu, Randy (2023) An Internet of Things Conceptual Model and User Experience Design for Forest Hiking Systems in the Tropics Tourism. In: Innovation-driven business and sustainability in the tropics: Proceedings of the Sustainability, Economics, Innovation, Globalisation and Organisational Psychology Conference 2023. pp. 227-243. From: SEIGOP 2023: Sustainability, Economics, Innovation, Globalisation and Organisational Psychology Conference, 1-3 March 2023, Singapore.

Jusak, Jusak, Pratikno, Heri, and Putra, Vergie Hadiana (2017) Internet of Medical Things for cardiac monitoring: paving the way to 5G mobile networks. In: Proceedings of the IEEE International Conference on Communication, Networks and Satellite. pp. 75-79. From: COMNETSAT 2016: IEEE International Conference on Communication, Networks and Satellite, 8-10 December 2016, Surabaya, Indonesia.

K

Kerrison, Steve (2022) IoT Droplocks: Wireless Fingerprint Theft Using Hacked Smart Locks. In: Proceedings of the IEEE Conference on Cybermatics/2022 IEEE International Conferences on Internet of Things. From: IEEE iThings-2022: 15th IEEE International Conference on Internet of Things, 22-25 August 2022, Espoo, Finland.

X

Xiang, Wei, Li, Jie, Zhou, Yuan, Cheng, Peng, Jin, Jiong, and Yu, Kan (2024) Digital Twin Empowered Industrial IoT Based on Credibility-weighted Swarm Learning. IEEE Transactions on Industrial Informatics, 20. pp. 775-784.

Y

Yang, Wei, Xiang, Wei, Yang, Yuan, and Cheng, Peng (2023) Optimizing Federated Learning With Deep Reinforcement Learning for Digital Twin Empowered Industrial IoT. IEEE Transactions on Industrial Informatics, 19 (2). pp. 1884-1893.

Z

Zhou, Hangxia, Liu, Qian, Yan, Ke, and Du, Yang (2021) Deep learning enhanced solar energy forecasting with AI-driven IoT. Wireless Communications and Mobile Computing, 2021. 9249387.