The study examines the idea of hand motion control in the busy game community using a novel method. This will help find a unique method to encourage talk among the game and computer vision community. Acquisition of ca...
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The worldwide health crisis caused by COVID-19 and the subsequent control measures have had significant and widespread impacts on various aspects of human life. Detecting COVID-19 early is crucial for effective diagno...
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The automatic vehicle speed control system (AVSCS) is a cutting-edge automotive innovation designed to enhance road safety and driving comfort. Integrating advanced sensor technology, AVSCS enables real-time monitorin...
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Intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-ti...
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Intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-time. The purpose of this investigation is to investigate the possibility of incorporating cognitive computing technologies, such as machine literacy, natural language processing, and big data analytics, into business operation systems to address the issue of civic traffic, improve the flow of business, and enhance safety. The development of adaptive business control mechanisms that can respond robustly to changing business situations is made possible by cognitive computing. This is accomplished through the use of sophisticated algorithms and predictive analytics. The purpose of this article is to investigate case studies and real-world implementations, to highlight the major improvements in company efficiency and decrease in travel times that may be realized using cognitive computing. The findings provide evidence that cognitive computing has the potential to transform conventional business operation systems into intelligent, responsive networks that are capable of tone-optimization. This would result in the creation of civic environments that are more intelligent and more environmentally sustainable.
Automatic access control system based on Raspberry Pi and Arduino UNO development board uses the CSI camera of Raspberry Pi to capture the face information, compare it with the face database, judge whether it meets th...
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As edge computing becomes an increasingly important computing model, trust management and security issues are becoming more severe. Problems such as malicious node attacks and trust isolation pose threats to the secur...
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The world is rapidly advancing towards automation, and one of the core evolutions in automation in the development of Autonomous Vehicles, have the potential to revolutionize the transportation field. However, they ar...
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This paper presents a survey on vulnerabilities and defense mechanisms in Electric Vehicle (EV) charging infrastructure that can be exploited by cyber attackers for malicious things. When accompanied by the surge of E...
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Weeds are undesirable plants growing among the good ones. Weeds have the capability to grow rapidly and interrupt the growth of other plants by becoming a competent for nutrients, water, and space. Weed identification...
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Model Predictive Torque control (MPTC) has been proposed as an effective alternative to conventional direct torque control (DTC) for induction motor (IM) drives. Compared to DTC, MPTC is more effective and accurate in...
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