Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …

Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

Today, some cities around the world have tended to use new technologies and become
smart city. New technologies improve the quality of citizens' life. However, the use of any …

To promote the expansion and adoption of Digital Twins (DTs) in Smart Cities (SCs), a
detailed review of the impact of DTs and digitalization on cities is made to assess the …

Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …

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 …

The fusion of hyperspectral and light detection and range (LiDAR) data has been an active
research topic. Existing fusion methods have ignored the high-dimensionality and …