In the context of contemporary vehicle dashboard systems, advanced In-Vehicle Information Systems (IVIS) often employ touchscreen functionalities, and multi-layered menu structures. However, these solutions have been ...
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In the context of contemporary vehicle dashboard systems, advanced In-Vehicle Information Systems (IVIS) often employ touchscreen functionalities, and multi-layered menu structures. However, these solutions have been identified as more distracting for drivers compared to traditional tactile switches and buttons with single, dedicated functions. Our primary focus is on exploring the design capabilities of dynamic vehicle center console interfaces, leading to the inception of the Dynamic Human-computer Interface System (DHCIS). DHCIS employs a context-aware, adaptive functional framework structure, which, rather than relying on deep menu layers, enhances the safety level in varied traffic situations by simplifying controls to one-touch features. The design concept has been compared with a generic user interface in terms of the handling method, operational steps and layout design.
The research paper presents a tailored GoogLeNet architecture with a novel SEP activation function for image classification tasks in the electronic devices domain. The model incorporates a refined Inception module and...
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Cancer detection is critical for early diagnosis and treatment, and non-invasive imaging methods like microwave imaging have shown promise in this domain. This research presents a CNN-based machine learning model to i...
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Undoubtedly, mental health exerts a profound influence on various aspects of human existence, spanning personal, familial, educational, societal, and even national domains. Our objective lies in the identification and...
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We propose a fast and accurate multi-target tracking method, Twice Check. This method is a multi-target tracking method, which matches the newly appeared track and the just disappeared track, and adds the low-frame qu...
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Facial emotion recognition (FER) systems have gained popularity due to their applications in various fields, including healthcare, cognitive science, video conferencing, and driver safety. However, recognizing facial ...
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Although the current point cloud upsampling techniques are already capable of attaining arbitrary upsampling rates af-ter one training. However, during the upsampling process, it may be difficult to preserve the fine ...
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Handwritten digit recognition remains a pivotal area in machine learning and computer vision, essential for applications like license plate identification, form processing, and historical document reading. Addressing ...
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Video and audio are ways for humans to perceive the world beyond language. It is meant to enable robots to imitate and recognize human emotional expressions. However, most current audio-visual emotion analysis models ...
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