This paper presents a comprehensive review of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technologies, focusing on their impact in driving AI automation across diverse sectors with a s...
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Epileptic seizure detection from EEG signals is essential for the diagnosis and treatment of neurological conditions. However, this task is difficult because of the complex and fluctuating characteristics of EEG data....
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In recent times, recognizing hand gestures from a sign image has become a vital research field in the areas of computer vision and human-computer interaction. Many researchers have taken advantage of various features ...
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Currently, cybercrimes are a serious threat to computer networks. Researchers have come to view Network Intrusion Detection Systems as a critical defensive component and have worked to develop new methods to detect ho...
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This project enhances human-robot interaction (HRI) by incorporating cutting-edge sensory feedback systems, real-time processing, and an intuitive architecture. A modular, scalable system architecture, developed using...
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Heart disease is a major worldwide health concern, necessitating advances in precise and cost-effective diagnostics. While machine learning (ML) models have shown promise in this field, their opaque nature frequently ...
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This paper introduces a teleoperated mobile robotic manipulator specifically designed for rescue operations. The system integrates a robotic manipulator, a mobile platform, a hybrid power system, an environmental perc...
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High Dynamic Range (HDR) imaging has become a significant technological advancement in visual data processing, allowing for the capture of a wider dynamic range of luminance levels in images. This paper explores vario...
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According to the requirement of the system operation, a control computer monitors and controls a large number of key nodes, synthesizes a variety of excitation signals, obtains the angular state of the rotating mechan...
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