In the quest to meet the escalating demands of citizens, future smart cities emerge as crucial
entities. Their role becomes even more vital given the current challenges posed by rapid …

Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

The integration of urban natural resources and smart city technologies as a means to
promote sustainability is investigated in this study using a descriptive-analytical literature …

Abstract The use of AGVs (Automated Guided Vehicles) is rapidly expanding in various
applications and industries, meeting the growing demand for automated material handling …

Intelligent transportation systems (ITS) are globally installed in smart cities, which enable the
next generation of ITS depending on the potential integration of autonomous and connected …

In recent years, the concept of smart cities has become increasingly important in the pursuit
of sustainable development goals. In general, common urban challenges have been …

An Internet of Things (IoT) system for managing and coordinating unmanned aerial vehicles
(UAVs) has revolutionized the industrial sector. The largest issue with the design of the …

Multi-class Classification of Imbalanced Intelligent Data using Deep Neural Network Page 1 EAI
Endorsed Transactions on AI and Robotics Research Article Multi-class Classification of …

Currently, the internet of things (IoT) is a technology entering various areas of society, such
as transportation, agriculture, homes, smart buildings, power grids, etc. The internet of things …

Car rollovers are a class of serious traffic accidents that can easily cause heavy casualties
and property damage, particularly for special operation vehicles. To enhance the driving …