Titlebook: Advances in Artificial Intelligence; 20th Conference of t Amparo Alonso-Betanzos,Bertha Guijarro-Berdi?as,Al Conference proceedings 2024 Th

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,Toward Explaining Competitive Success in?League of?Legends: A Machine Learning Analysis,ghts on match outcomes remains a challenge. This study focuses on League of Legends, a popular multiplayer online battle arena game known for its strategic depth and teamwork requirements. We aim to understand how various actions and strategies influence match results, using a dataset from professio

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978-3-031-62798-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Industrial Dynamics — nach der ersten Dekadean be analysed by means of deep segmentation models; however, such methods usually dismiss depth information. In this work, we aim to address this challenge by comparing four deep learning models for segmenting canopy and grape bunches in RGB and RGB-D images. In our experiments, RGB-D models achiev

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https://doi.org/10.1007/978-3-322-85683-8ities and potential for energy-efficient computing. SNNs distinguish themselves from traditional neural networks by skillfully processing complex, time-sensitive binary inputs through intricate encoding strategies and dynamic learning algorithms. This paper discusses various encoding techniques and