One major problem that contributes to many traffic accidents that cause injuries and fatalities all over the world is drowsy driving. This research introduces the novel approach for detecting driver drowsiness using d...
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Many services have made the transition to the cloud because of the increased reliability and efficiency of cloud computing. Due to their capacity to ease service access while also securing communications in the public...
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As the basic function of advanced assisted driving technology or autonomous driving technology, vehicle recognition plays an important role in lane change, collision avoidance and other applications. The current vehic...
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The automotive industry's growth, fueled by technology and job opportunities, has heightened global automobile sales. Despite this progress, road safety remains a concern, with numerous lives lost in car accidents...
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This paper discusses the application of neural network in information warfare technology, fully excavates and utilizes information based on data analysis, improves the efficiency of information warfare technology. In ...
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The distribution network protection service has high requirements for communication delay, reliability and stability. There are some problems in optical fiber communication and traditional 5G network. This paper first...
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Lung cancer is the most deadly illness for patients, and it is an incurable condition. Patient survival rates are greatly increased by early cancer prognosis and identification. The Computed Tomography (CT) scan is an...
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The development of proposed deepfake detection techniques plays a prominent role in the safeguarding the multimedia information. The various challenges are addressed using the aid of deep learning techniques. This inv...
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The development of a virtual reality platform through human-computer interaction (HCI) is obtained using deep learning with a genetic algorithm. The human-computer interaction forms a bridge between users and the VR s...
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The surge of social media highlights the necessity for sophisticated instruments to assess public sentiment toward individuals and entities. Present approaches often fall short in capturing the multifaceted nature of ...
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