This paper introduces Merrytopia, an innovative well-being platform integrating AI, Unity, and journaling to address contemporary mental health challenges. The platform leverages AI methodologies such as Natural Langu...
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This study introduces an application that aims to revolutionise the logistics sector by facilitating truck pooling, a transportation efficiency-enhancing method that links drivers and shippers travelling in parallel. ...
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Pneumonia is a common lung infection in developing and underdeveloped countries. Analysis of anterior chest x-ray is the most commonly used method to diagnose lung infections. Existing methods provide reasonable accur...
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This paper introduces a novel approach to real-time distance detection, employing the state-of-the-art YOLO (You Only Look Once) algorithm. Our system seamlessly integrates YOLO's object recognition capabilities w...
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The project labelled 'DOH Integrator tool' aims to improve internet privacy and security by implementing the DNS over HTTPS (DoH) protocol. Traditional DNS queries are sent in cleartext, which makes them subje...
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This research proposes a revolutionary deep learning-based method for child identification that goes missing. The need for efficient and successful identification techniques has grown along with the concern for child ...
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A biometric detection system named finger vein recognition studies the vein patterns in human fingers that are concealed under the skin's surface through pattern recognition algorithms. It involves comparing the v...
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Multimodal medical image fusion plays a crucial role in integrating information from various imaging modalities, it involves combining data from different models to obtain more and more detailed information, resulting...
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In this study, the event-triggered asymptotic tracking control problem is considered for a class of nonholonomic systems in chained form for the time-varying reference input. First, to eliminate the ripple phenomenon ...
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In this study, the event-triggered asymptotic tracking control problem is considered for a class of nonholonomic systems in chained form for the time-varying reference input. First, to eliminate the ripple phenomenon caused by the imprecise compensation of the time-varying reference input, a novel time-varying event-triggered piecewise continuous control law and a triggering mechanism with a time-varying triggering function are developed. Second, an explicit integral input-to-state stable Lyapunov function is constructed for the time-varying closed-loop system regarding the sampling error as the external input. The origin of the closed-loop system is shown to be uniformly globally asymptotically stable for any global exponential decaying threshold signals, which in turn rules out the Zeno behavior. Moreover, infinitely fast sampling can be avoided by appropriately tuning the exponential convergence rate of the threshold signal. A numerical simulation example is provided to illustrate the proposed control approach.
Urban traffic congestion at intersections poses a significant challenge, leading to inefficiencies in traffic flow and increased wait times. Traditional fixed-timer traffic signal systems fail to adapt to fluctuating ...
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