However, the performance of the applications is not comprised. In the project, entitled An AI-based System for Smart Cities Cloud Computing, researchers use AI and machine learning to predict the ...

Machine learning-enabled big data analytics is essential for optimizing city operations, improving resource management, and enhancing the quality of urban life. By leveraging machine learning (ML) ...

The connectivity of smart cities and farms brings with it mountains of data, and the increasing ability of computers to analyze it all. In the city, machine learning will make a big difference for ...

Towards greener smart cities with machine learning-based 'sleep schedules'. ScienceDaily. Retrieved May 15, 2025 from www.sciencedaily.com / releases / 2022 / 01 / 220131131920.htm.

Abstract: In this study, we develop and evaluate machine learning enhanced wireless communication protocols to satisfy the ultra reliable and low latency requirements in smart city applications. In ...

Hexagon’s Geospatial division has launched M.App Enterprise 2021, a significant update to its platform for creating geospatial and location intelligence applications.The latest release features new ...

“From our perspective, 5G is going to be a game-changer in terms of enabling some of those things which will accelerate the development of smart cities,” says Claudia Krywiak, president and ...

Companies Profiled in the global smart city market are Intel Corporation, Ericsson, Schneider Electric SE, Cisco Systems Inc., Huawei Technologies Co., Ltd., Hitachi Ltd., AT&T Inc., IBM ...

The complete and highly optimized embARC MLI library makes effective use of the ARC EM9D processor to efficiently support a wide range of low/mid-end machine learning applications. To learn more, read ...