The formal description of the assets and liabilities management (ALM) by a bank within regulatory requirements leads to an optimal control problem with phase constraints. The phase constraints arise from the restricti...
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Crop diseases and pests are major threats to crop yield and quality, as well as global food security and agricultural livelihoods. Therefore, it is essential to identify crop pests and diseases in a timely, efficient ...
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Battery digital twins are on the revolutionary edge of battery management systems, but it is challenging to establish digital twins that accurately reflect each battery state in the physical pack, for the unique therm...
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A major challenge in daily automotive use is the high incidence of car accidents, primarily attributed to human errors. This paper introduces Brain-Brake, an innovative brain-operated advanced driver-assistance system...
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ISBN:
(纸本)9798331530143
A major challenge in daily automotive use is the high incidence of car accidents, primarily attributed to human errors. This paper introduces Brain-Brake, an innovative brain-operated advanced driver-assistance system (ADAS) designed for collision avoidance. Utilizing electroencephalography (EEG) signals, Brain-Brake detects a driver's braking intention faster than traditional methods, addressing critical reaction time delays. It integrates a computer vision module that measures the proximity of objects to the vehicle, complementing the EEG-based intention detection for enhanced reliability. Implemented on embedded chips using the AUTOSAR framework, preliminary results indicate a significant reduction in reaction times during emergency braking scenarios, highlighting the system's potential to enhance road safety significantly.
In the evolving landscape of mental health diagnostics, the identification and understanding of emotional states, particularly in individuals with psychosis, stand as paramount challenges. This research introduces a n...
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Document Layout Understanding and Analysis solves the real-time problem of observing and contextualizing Layout and textual characteristics of a document. Document pre-trained models have proven to be very effective o...
Aiming at the lack of inertial navigation system (INS) orientation accuracy test and error calibration means in the user's field environment, we systematically sort out and analyze the orientation accuracy indexes...
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According to the current needs of the meat vendor market monitoring, the key aims of the organization are to optimize data collection for the reproduction process, enhance the slaughter method, track sales data, and c...
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This paper proposes a software knowledge graph model with code structure as the core. A two-layer software knowledge graph framework of knowledge extraction and knowledge fusion is established. Firstly, the self-atten...
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