4 天前 - … smart cities. This research focused on the full trial ability investigation and evaluations
on deep learning … data set of the Distributed Smart Space Orchestration System (DS2OS). …

4 天前 - … through existing techniques like Contactless technologies for smart cities: big data,
IoT, and … information construction based deep learning; few of them were reviewed here, …

4 天前 - … When applied to time series forecasting, deep learning (DL), the most advanced
area of machine learning (ML) at the moment, handles complex, high-dimensional time series …

5 天前 - … other devices, applications ranging from smart cities to healthcare and wearables
will … For FPGA-based deep learning acceleration, we see initiatives both at warehouse scale…

5 天前 - … sensing platform for smart cities thanks to their city-wide … the strength of deep
reinforcement learning (DRL) and … baseline, designed employing deep learning techniques, have …

5 天前 - … other smart devices that are used in different domains, such as smart homes, smart
cities, … methods, clustering algorithms, and deep learning algorithms, are commonly used for …

7 天前 - … in numerous growing areas, such as smart cities, agriculture, and renewable
energy. In … First, we develop a novel deep learning algorithm based on pointvoxel-region-based …

7 天前 - … use of a deep learning model for flood estimation and relief management in smart
cities to … Chapter 5 develops a framework for measuring the effectiveness of smart city projects …

10 天前 - … sorting system that leverages deep learning technology for efficient waste management
in smart cities. The technology relies on deep learning algorithms to analyze visual data…

10 天前 - … , industrial settings, and smart cities. However, the inherent … The progression of
deep learning techniques introduces … survey of several deep learning techniques that aimed at …