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Titlebook: Digital Interaction and Machine Intelligence; Proceedings of MIDI’ Cezary Biele,Janusz Kacprzyk,Marcin Sikorski Conference proceedings 2024

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發(fā)表于 2025-3-30 10:37:49 | 只看該作者
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發(fā)表于 2025-3-30 13:05:40 | 只看該作者
Concept of a Time Perspective in Extended Reality Interface for Industrial Applications to increase efficiency and competitive advantages open industry and manufacturing sectors to a modern and unusual solutions well known from completely different applications. In this article we will be focusing on a concept of time perspective in Extended Reality applications, and interactions wit
53#
發(fā)表于 2025-3-30 19:12:52 | 只看該作者
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發(fā)表于 2025-3-30 23:01:30 | 只看該作者
Cezary Biele,Janusz Kacprzyk,Marcin SikorskiPresents the Proceedings of the 11th Machine Intelligence and Digital Interaction Conference .Combines two up until recently distinct disciplines of research—artificial intelligence and human–technolo
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發(fā)表于 2025-3-31 04:37:03 | 只看該作者
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發(fā)表于 2025-3-31 07:06:46 | 只看該作者
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發(fā)表于 2025-3-31 11:34:47 | 只看該作者
T. S. Rathna Priya,A. Manickavasaganoaches to detect and prevent fraudulent activities. Transaction fraud detection involves multiple steps, including data analysis, preprocessing, feature selection, and hyperparameter optimization. Given the prevalence of anonymized features in transaction datasets, we focused on enhancing model perf
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發(fā)表于 2025-3-31 17:05:33 | 只看該作者
59#
發(fā)表于 2025-3-31 17:51:42 | 只看該作者
ors and increase the risk of accidents and casualties. To improve the driving experience, proper road maintenance procedures are required. This research paper focuses on the DenseNet model to classify potholes using road image data. A self-generated dataset of 1721 road images with 4 classes is used
60#
發(fā)表于 2025-3-31 21:42:14 | 只看該作者
Kristof Vanhoutte,Benjamin W. McCraw chili leaves and provides an extensive examination of various chili diseases and existing research in this domain. Traditional disease detection methods are labor-intensive for farmers. The paper introduces innovative image processing and deep learning techniques for early and effective disease ide
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