Titlebook: Applied Computer Sciences in Engineering; 11th Workshop on Eng Juan Carlos Figueroa-García,German Hernández,Elvis Conference proceedings 20

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Advancements in AI-Driven Emotion Recognition: A Study on CNN and DMD Methodologiesiminative capability, particularly in recognizing “Happy” and “Surprise” emotions, whereas the DMD model, despite lower overall accuracy, showed potential in capturing dynamic features. This study’s findings underscore the importance of combining advanced feature extraction techniques with robust ne

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tackle

Analysis of Variables Related to Criminal Violence and Public Insecurity in the City of Barranquillaties to combat these groups, they face difficulties due to limited resources and the presence of corruption at some levels..The methodology used in the research is characterized by being analytical and of mixed approach, where a four-phase process was carried out: descriptive, data cleaning, interve

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得罪人

https://doi.org/10.1007/978-3-662-49459-2d frequency bands in the evaluation of topological metrics within the realms of motor imagery and execution. These insights are poised to substantially advance our understanding of the neurological foundations of these motor activities and contribute to future scholarly inquiries and technological advancements in neurotechnology.

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Automatic Recognition System for Public Transport Robberies Based on Deep Learning in public transport. The system also accounts for environmental and audio quality factors to improve robustness and efficiency. Experimental results demonstrate that SAATP-ATP can identify robbery incidents with high precision, making it an effective tool for enhancing public transport security and providing rapid alerts in emergencies.