The classification of sky images holds significant importance in the field of meteorology as it enables the accurate prediction of weather patterns and climatic conditions. The multi-view features of super pixels have...
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Automatic License Plate Recognition(ALPR)systems are important in Intelligent Transportation Services(ITS)as they help ensure effective law enforcement and *** systems play a significant role in border surveillance,en...
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Automatic License Plate Recognition(ALPR)systems are important in Intelligent Transportation Services(ITS)as they help ensure effective law enforcement and *** systems play a significant role in border surveillance,ensuring safeguards,and handling vehicle-related *** most effective approach for implementing ALPR systems utilizes deep learning via a convolutional neural network(CNN).A CNN works on an input image by assigning significance to various features of the image and differentiating them from each *** are popular for license plate character ***,little has been reported on the results of these systems with regard to unusual varieties of license plates or their success at *** present an efficient ALPR system that uses a CNN for character recognition.A combination of pre-processing and morphological operations was applied to enhance input image quality,which aids system *** system has various features,such as the ability to recognize multi-line,skewed,and multifont license *** also works efficiently in night mode and can be used for different vehicle *** overall accuracy of 98.13%was achieved using the proposed CNN technique.
Recognising emotions in people is essential to understanding human behaviour since it allows for correct perception and suitable reactions to people's emotional states. In order to get a deeper understanding of co...
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The ability to detect and keep in lanes is crucial for the safe operation of autonomous mobile robots in construction sites and their coordination with humans in autonomous ports or logistic centers. While computer vi...
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This study utilizes a hyperspectral imaging system for in vitro imaging of blood vessels. Image preprocessing techniques, including Savitzky-Golay filtering, median pooling, gamma correction, CLAHE, and bottom hat tra...
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The increasing number of road accidents involving Vulnerable Road Users (VRUs) highlights the urgent need for innovative safety solutions. This study proposes a novel approach that leverages IoT and Convolutional Neur...
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Named Entity Recognition in low resource languages such as Arabic is relatively less accurate. Despite this, many applications attempt query-document matching, which necessitates entity resolution. We explore certain ...
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Obstacle detection can help human to reduce risk on underwater transportation activities. In our work, we use compressive sensing technique to estimate the Direction of Arrival (DOA) and range for spatial targets espe...
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In recent times, the increment of mobile phone usage has resulted in a huge number of spam messages. Spammers continuously apply more and more new tricks that cause managing or preventing spam messages a challenging t...
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This paper examines the concept of today's reliance on verbal exchange in networked structures through the usage of cryptographic safety algorithms. Community security has emerged as a trendy vital tool to defend ...
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