Human Activity Recognition (HAR) has become increasingly important withthe advent of mobile computing and sensor technologies. Traditional HAR systems, relying on centralized data processing and supervised learning t...
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Wireless Sensor Networks (WSNs) are vital for applications like environmental monitoring and smart cities, but effective node deployment remains challenging. Traditional methods often fail in dynamic scenarios. this p...
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Educational videos have become a preferred medium for learning, offering advantages such as self-paced study, the ability to revisit concepts, and a distraction-free environment. However, the effective- ness of such v...
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In the domain of compressive sensing MRI (CS-MRI), MRI image is reconstructed using partially acquired k-space data, in order to shorten the acquisition time of MRI. Various priors and their combinations have been exa...
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this study reports the suitability of several algorithms to identify the best course in a network of lines that is utilized to guide an Unmanned Arial Vehicle (UAV) aircraft in a safety configuration. It utilizes a wa...
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In this paper we introduce the novel approach in dentistry deep learning method for image segmentation which is helpful for orthodontics treatment. In oral diagnosis treatment the image segmentation plays an important...
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Modern society requires digital literacy because it operates under IT leadership. Various locations across rural territory continue to experience technology shortages alongside insufficient training regarding proper I...
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Trailers have been a vital part of the entertainment industry to pique audience interest. the process of trailer generation has been evolving to provide effective trailers to the public. In this paper we propose a nov...
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the Internet of things (IoT) stands as a revolutionary technology which impacts smart agriculture and different sectors beyond it. the research describes an intelligent IoT-enabled monitoring system which uses sensors...
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Nowadays, healthcare systems face ever-increasing cyber security threats due to the sensitive nature of patient data and the proliferation of IoT-enabled medical devices. Traditional Intrusion Detection systems (IDS) ...
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