… deeplearning in solving problems in smartcities, no survey has been dedicated mainly on the application of deeplearning in smartcities … applications of deeplearning in smartcities. In …
… Deeplearning will thus remain important in the age of technological … smartcity’s deep learning penetration and impressive accomplishments, other facets of deeplearning in smartcities …
İ Kök, MU Şimşek, S Özdemir - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
… deeplearning methods for prediction of IoT data. Hence, in this paper, a novel deeplearning model is proposed for analyzing IoT smartcity … of air quality in a smartcity. The evaluation …
… IoT applications for a smartcity using DL are reviewed, summarized… smartcity applications in order to provide an understandable image about the main concepts of IoT and DL smartcity …
D Chen, P Wawrzynski, Z Lv - Sustainable Cities and Society, 2021 - Elsevier
… learning methods is essential to protect smartcity cyber. This … of SmartCities (SC), Cyber Security (CS), and DeepLearning (DL) … in smartcities. Specifically, we briefly reviewed several …
Q Xin, M Alazab, VG Díaz, CE Montenegro-Marin… - Energy Reports, 2022 - Elsevier
… The smart resource management deeplearning model proposed in this research includes the … In this article, a deeplearning architecture for power management (DLA-PM) is described. …
… describe the distributed deeplearning for smartcities in big data … Smartcity layer, big data layer, and deeplearning layer. The Smartcity layer responsible for the question of Smartcity …
… in the advancement of learning algorithms for smartcities. The trend in smartcities have shown to … , ensemble and deeplearning models, as also shown in [80,81,82,83,84,85,86,87,88]. …
Q Chen, W Wang, F Wu, S De, R Wang… - … on Emerging Topics …, 2019 - ieeexplore.ieee.org
… , and then we discuss in detail how different deeplearning models are applied in smart city data analytics. We focus on the four most widely used deep neural network models: …