… exhibits significance in promoting smart city designing, due … smart cities, the current study
designs a Privacy Preserving Secure Framework using Blockchain with Optimal Deep Learning …

… Accordingly, in this paper, we propose a two-stage based deep learning architecture in …
Furthermore, the feature selection and prioritazion along with the combination of a deep learning …

… smart city. In this study, the authors first describe the background study about the smart city,
cyber security threats and deep learning … architectures of deep learning algorithms and used …

… We propose using a Deep Learning model with one hidden layer. We make use of the
ensemble loss function mentioned in Section 3. The ensemble loss function inherits the merits of …

… The aftermath of fires in smart cities presents … of smart cities, effective fire detection systems
are crucial. Integrating advanced technologies such as visual sensors and Deep Learning (…

… The methodology studied in this work will be able to enrich the technologies supporting
smart cities. The architectures of the cities of the future will be full of interconnected sensors that …

… [9], deep learning techniques have continued to thrive in various domains and disciplines
[10], [11], [12], [13], [14]. To support deep learning-based analytics for smart city applications, …

… We will explore other classical machine learning and deep learning models (time series
analysis) in order to find solutions for smart cities, such as, availability of parking space in a …

… Deep Learning Frameworks and Computer Vision Applications in support of smart city
applications like smart healthcare, smart … below important aspects of smart city in detail like Smart …

… damage to IoT-based smart city models in terms of device … IDS models in relation to smart
city applications have not been … on the deep learning and shallow machine learning models by …