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May 25, 2024 · The quality of fresh foods tends to deteriorate rapidly during harvesting, storage, and transportation. Intelligent detection equipment is designed to monitor and ensure product quality in the supply chain, measure appropriate food quality parameters in real time, and thus minimize quality degradation and potential financial losses. Through various available tracking devices, consumers can ...
Jan 20, 2021 · The intelligent system can play a vital role in traffic control through the number plate detection of the vehicles. In this research work, a system is developed for detecting and recognizing of vehicle number plates using a convolutional neural network (CNN), a deep learning technique.
Research on generalized system theory, distributed intelligent systems, bioengineering, robotics and systems, computational social behaviors, medical robotics, mechatronics, unmanned systems, multi-robot teams and networked swarms, machine intelligence, learning, system autonomy and autonomous systems, design for autonomy, cyber physical systems, and other related areas in which cutting-edge ...
Sep 27, 2022 · Traffic is one of the indispensable problems of modern societies, which leads to undesirable consequences such as time wasting and greater possibility of accidents. Adaptive Traffic Signal Control (ATSC), as a key part of Intelligent Transportation Systems (ITS), plays a key role in reducing traffic congestion by real-time adaptation to dynamic traffic conditions. Moreover, these systems are ...
Jan 24, 2024 · The Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) are integral components of intelligent transportation systems with the potential to revolutionize the way we move people and goods. Although both the IoV and IoFV share a common goal of improving transportation efficiency, safety, and sustainability, they possess distinct characteristics and face unique challenges. To ...
May 8, 2024 · Our proposed hybrid intelligent control system confirms these observations, showing superior performance compared to standalone rule-based or deep learning methods. Hybrid Intelligent Control Systems: Our study introduces a hybrid intelligent control system, combining the strengths of rule-based control with the learning capabilities of machine learning algorithms.
Feb 23, 2023 · Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the intelligent traffic management system (ITMS) is used to manage traffic on road networks. Managing traffic helps to focus on environmental impacts as well as emergency situations. However, the ITMS system has many challenges in analyzing scenes of complex traffic. New technologies such as computer ...
Oct 28, 2022 · Over the last few years, Electric Vehicles (EVs) have been gaining interest as a result of their ability to reduce vehicle emissions. Developing an intelligent system to manage EVs charging demands is one of the fundamental aspects of this technology to better adapt for all-purpose transportation utilization. It is necessary for EVs to be connected to the Smart Grid (SG) to communicate with ...
An intelligent smart parking system is not achievable without incorporation of IoT technologies. These technologies provide advanced opportunities that enable stakeholders of smart parking systems to monitor real-time parking scenarios, nearest parking spots, and free parking spot alerts on smartphones in parking systems .
Jan 25, 2024 · In the present study, the parallel system theory was introduced to establish a parallel intelligent water quality monitoring system based on the ACP method. An exploratory study of the system was also conducted for port waters. The practical application of the system would facilitate port environmental management. 2.
