A Deep Learning Based System for Intelligent Traffic Monitoring
Traffic monitoring and analysis are critical for efficient urban transportation management and safety. In this paper, we present a deep learning–based system capable of real-time …
Traffic monitoring and analysis are critical for efficient urban transportation management and safety. In this paper, we present a deep learning–based system capable of real-time …
Aut-ecological studies provide basic and essential information for rangeland and ecosystem management. Aut-ecological study of a range plant named Lolium rigidum was …
Shape memory alloys (SMAs) have garnered widespread attention as a class of smart materials due to their unique ability to revert to a predetermined shape following deformation …
The rapid growth of e-commerce in recent years has brought significant security challenges and financial risks. Traditional fraud detection methods are ineffective against complex and …
Reactive powder concrete (RPC) is a type of ultra-high performance concrete (UHPC) with a high cementitious materials content. Coarse aggregates are removed in RPCs and ultra-…
With the expansion of smart grids and the growing integration of renewable energy sources into power systems, optimal energy management and load control have emerged as critical …
The main purpose of this study was to propose a model analyzing the position of translation service quality in Iran from the customers’ perspective based on SERVQUAL model in …
The metropolises have a considerable population and are full of man-made spaces. Taking advantage of the resilience approach of urban land use allows urban planners and …
The main idea of this paper is to highlight the importance of the relationships between domains of "natural and human" from the two "science" and "biology" perspectives, although at …