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Titlebook: System Dependability - Theory and Applications; Proceedings of the N Wojciech Zamojski,Jacek Mazurkiewicz,Janusz Kacprz Conference proceedi

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楼主: incoherent
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Artificial Intelligence Methods for Pet Emotions Recognition,g their emotional signals a challenge. The work focuses on the task of classifying feline emotions from images. It aims to test whether deep learning networks can recognize the primary emotional states of these animals on real (non-laboratory) image data. The results obtained in this work provide a
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Digital Transformation Impacts on Industry 4.0 Evolution,d conditioning by taking enterprises to utilize digital technologies in all operations. The world is currently undergoing Industry 4.0, a new industrial revolution characterized by the utilization of novel technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data
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,Large Language Models for Data Extraction in Slot-Filling Tasks,t from testing the method on an in-house created dataset, we checked the methodology on two main benchmarks in this field. The obtained results for models with 7B parameters are comparable with those achieved by closed-source chatGPT family models, which are more than 20 times bigger.
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,Performance Optimizations of Real World Map Transformations for 3D Realtime Mobile Games,pers focusing on real world maps that can be implemented in games like tycoons, strategies or geolocation type. The obtained results show possibility of achieving good compromise between level of details extracted from original maps and high performance of realtime 3D graphics generated on mobile device.
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,Impact of Learning Data Statistics on the Performance of a Recommendation System Based on MovieLense of the algorithm as measured by RMSE. Additionally, we examined the coverage of both items and users with respect to the input data. The verification was performed using classical item and user-based methods with cosine similarity.
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Artificial Intelligence Methods for Pet Emotions Recognition,hniques, and exploring new classification models. Further research has the potential to contribute to a better understanding of emotional states in cats and improve the effectiveness of classification processes based on authentic images.
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