AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics

@article{1707327,
      author = {Mohammad Serajuddin, Ashish Kumar Pandey},
      title = {AI-Driven Cloud Computing Framework for Smart IoT Networks with Predictive Analytics},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {9},
      pages = {1517-1529},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707327.pdf},
      abstract = {Advances in cyber-physical systems, cloud computing, and the?Internet of Things have also transformed smart city applications. To glean meaningful information from?huge datasets for the Internet of Things, artificial intelligence?particularly machine learning and deep learning?must be incorporated. Moreover, the?speedy adoption of blockchain technology boosts the ecosystem development in smart cities. This paper explores how the intersection of the blockchain and artificial intelligence can act?as a driver for sustainable IoT applications and proposes a cloud and IoT device-based information processing system. Data?is backed by distributed ledger technology while a layered architecture enables secure smart city apps. The study details existing barriers?to adoption along with future research directions relevant to sustainable IoT advancements.},
      keywords = {Blockchain, Artificial Intelligence, IoT, Cloud Computing, Sustainable Computing and Smart Cities.},
      month = {March},
  }