… This article presented a botnet detection system based deep learning using DNS queries
specific to IoT smart city applications. The proposed system is highly scalable on a commodity …

… , deep learning systems produce unrivaled results. This research utilizes deep learning to
… Garbage classification based on deep learning allows for the extraction of waste categories …

… The main goal of present smart city solutions is the development of deep learning-based
solutions to enhance current system. Therefore, this group of ambitious and independent …

… -enabled deep learning-based recommendation system to enhance tourist experience in a
smart city. … (age of the traveler/s, hobbies, etc.) into the smart city app/website. Our proposed …

… In this paper, we implemented a deep learning solution to predict the hourly forecast of \(…
We examined the difference in performances among Deep learning algorithms such as LSTM, Bi…

… in the smart city Internet of things (IoT), make the smart city … in the smart city, the study
introduces the deep learning (DL) … are introduced to construct the smart city DTs multi-hop …

… Machine Learning (ML) and Deep Learning (DL) methods have contributed to the … of urban
and smart cities development in the current scenario. Most developed cities have suffered …

… by applying it to a real life smart city dataset, where replay attacks were … deep learning
models. Last but not least, as an additional contribution, this paper presents a real life smart city …

… (EM) in smart cities, there is a lack of current research exploring EM in well-regulated
Internetof-Things (IoT) networks. This article develops a new deep learning (DL) model for efficient …

… With the use of LSTM in deep learning, we improved the production of the smart industry
with smart manufacturing the product. Moreover, the proposed infrastructure solves the security …