Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2024 The Editor(s) (if appl

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Saad Motahhir,Badre BossoufiProvides unique perspectives on digital technologies and their applications.Covers the full range of digital technologies and their potential applications across various industries and sectors.Offers

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https://doi.org/10.1007/978-3-031-68653-5ICDTA; Machine Learning; Artificial Intelligence; Big Data; Internet of Things; Blockchain; Embedded Syste

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Digital Technologies and Applications978-3-031-68653-5Series ISSN 2367-3370 Series E-ISSN 2367-3389

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tegration of Machine Learning (ML), which can transform vast streams of data into informed decisions. This article examines through a literature review the transformative potential of machine learning in urban environments, highlighting advances and challenges in the key smart city domains: Infrastr

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Quantification of Endogenous Retinoids,Convenience sampling was the method used to select the research sample. Data collected through a 15-item questionnaire was distributed to 340 pre-service teachers of the Bachelor of Education Elementary Specialty (BEES). The data were analyzed with statistical techniques including mean scores and Ma

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R. L. Beard,R. A. S. Chandraratnale covers the progress of AI-based asset pricing. While conventional models created the framework for understanding asset risk and return, current advancements in AI and Machine Learning (ML) have made it feasible to build more complicated models that can evaluate enormous amounts of data, find tren

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U. Schultz-Ehrenburg,C. E. Orfanos improve their profits using various machine-learning methods. In this article, we introduce a new method, termed the combined approach, for performing sentiment analysis on consumer opinions it uses a hybrid Artificial Neuron Network ANN algorithm which combines PSO swarm particle optimization and