Smart City
Smart cities leverage interconnected technologies like the Internet of Things (IoT) and artificial intelligence (AI) to optimize urban services and improve citizen well-being. Current research emphasizes developing AI models, including deep learning architectures such as recurrent neural networks, transformers, and reinforcement learning, for applications ranging from traffic management and energy consumption prediction to public safety and resource allocation. This interdisciplinary field is significant for its potential to enhance urban sustainability, efficiency, and livability, driving innovation in areas like data fusion, multimodal learning, and decentralized optimization techniques.
Papers
An Enhanced Analysis of Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function
Ayad Ghany Ismaeel, S. J. Jereesha Mary, C. Anitha, Jaganathan Logeshwaran, Sarmad Nozad Mahmood, Sameer Alani, Akram H. Shather
Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network
Ayad Ghany Ismaeel, Krishnadas Janardhanan, Manishankar Sankar, Yuvaraj Natarajan, Sarmad Nozad Mahmood, Sameer Alani, Akram H. Shather