This article details the development of a new solution specifically tailored for the extraction of information from non-standard license plates, encompassing the recognition of Arabic and Indian numerical characters. ...
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This paper proposed a miniaturized microstrip antenna (MMA). The design consists of a microstrip antenna having a radiating patch with modified U slots. Dielectric substrate of PTFE is used to design the antenna. Co-a...
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This paper explores the synergistic integration of robotics and Internet of Things (IoT) monitoring within industrial settings, employing Deep Residual Networks (Deep ResNets). The convergence of robotics and IoT has ...
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Deep learning models, particularly U-Net, have been widely used for image segmentation tasks in various domains such as medical, biological, autonomous driving, and industrial applications. However, the black-box natu...
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The role of Vehicular Ad Hoc Networks (VANETs) is crucial in enabling Intelligent Transportation system (ITS) technologies such as safe financial transactions, media applications, and effective traffic control. As tra...
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ISBN:
(数字)9798350376913
ISBN:
(纸本)9798350388473
The role of Vehicular Ad Hoc Networks (VANETs) is crucial in enabling Intelligent Transportation system (ITS) technologies such as safe financial transactions, media applications, and effective traffic control. As traffic increases, the topology of vehicular networks is in constant flux, and the sparse distribution of vehicles, particularly on highways, presents challenges for network scalability. This situation makes it difficult for cars to keep consistent routes inside the network, which affects the stability of the network. To address these challenges, the developed Adaptive-ant Colony based Randomized Recommendation (ACRR) technique emerges as a unique solution for enhancing VANETs by reducing travel time. In instances of high traffic density on busy roads, the ACRR algorithm is effectively utilized to group vehicles. Leveraging data collected from these densely populated road segments, the system identifies congestion-prone areas and formulates optimal vehicle routes based on customized vehicle groupings. The framework's performance evaluation encompasses various parameters, including packet loss, message transmission rate, energy consumption, and average cluster growth. The proposed VANET framework, empowered by the ACRR algorithm, achieves an impressive message transmission rate of approximately 80%. In comparison, alternative methods like Re-RouTE exhibit a limited transmission rate of 70%, while others such as Net Run Rate (NRR), DIVERT 30, and DIVERT-60 demonstrate rates below 20%. Furthermore, the framework's parcel loss is significantly reduced to only 33% of that observed in the standard VANET framework. As a result, the ACRR algorithm integrated into the VANET framework demonstrates notable efficiency when compared to other approaches. It is crucial to recognize that, even with a refined technique, managing traffic congestion remains challenging if drivers disregard the recommended routing suggestions. Overall, this research offers insights into the p
An ISAC (Integrated system for Autonomous Control) system that fulfills severe requirements for important objectives is the topic of this research, which explores the obstacles and possibilities involved with its crea...
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This paper presents a novel method to improve the low-speed driving performance of the speed sensor-less control of induction machines. The proposed method has a gain-scheduled adaptive flux observer to improve the st...
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Pneumonia stands as a potentially lethal ailment, predominantly impacting the elderly population and occasionally leading to life-threatening outcomes. The timely identification of Pneumonia holds immense significance...
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Deep Learning (DL) represents a subset that has revolutionized traditional machine learning. Unlike earlier methods relying on handcrafted feature extraction, DL automates both feature extraction and classification. T...
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The COVID-19 condition had a substantial impact on the education sector, corporate sector and even the life of individual. With this pandemic situation e-learning/distance learning has become certain in the education ...
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