Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …

This paper examines the use of deep recurrent neural networks to classify traffic patterns in
smart cities. We propose a novel approach to traffic pattern classification based on deep …

This article provides a systematic literature review on applying different algorithms to
municipal data processing, aiming to understand how the data were collected, stored, pre …

Smart medicine is a vital component for building sustainable smart city. In smart medicine,
intelligent dialogue system is playing an important role in providing personalized and …

As global concern shifts from developed countries—many of which have made significant
strides towards carbon neutrality—to developing nations, an urgent need arises: how can …

Master Data Management (MDM) stands as a pivotal discipline in the realm of modern data
management, owing to its profound significance in upholding data accuracy and …

In this study, we review articles published in academic journals. in the last 5 years at the
intersection of big data and the smart city context. Based on a dataset of 192 articles, we use …

The food and beverage (F&B) business is faced with a huge challenge in the form of food
waste, which has a negative impact on profitability, sustainability, and environmental …

The vast amount of information stemming from the deployment of the Internet of Things and
open data portals is poised to provide significant benefits for both the private and public …

Conventional practice for geometric highway design using engineering drawing techniques
and mathematical approaches demands heavy iterative manual efforts amidst numerous …