Recovery
发表于 2025-3-21 19:22:12
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把…比做
发表于 2025-3-21 22:43:57
https://doi.org/10.1007/978-3-031-68650-4ICDTA; Machine Learning; Artificial Intelligence; Big Data; Internet of Things; Blockchain; Embedded Syste
anthesis
发表于 2025-3-22 04:15:03
978-3-031-68649-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Overstate
发表于 2025-3-22 07:19:14
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Oration
发表于 2025-3-22 10:22:57
eativity and problem-solving capabilities. This paper carries out an extensive literature review to explore the current state of the art of the most relevant trends addressing how artificial intelligence supports idea generation. The findings are split into two sections. The descriptive analysis sec
负担
发表于 2025-3-22 16:54:51
techniques, including statistical analysis, physical examinations, and in-course data mining are employed to determine these rates. This paper implements an educational data mining approach, which examines large data sets, in order to extricate important information that will enable to optimize stu
负担
发表于 2025-3-22 17:39:50
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CHOKE
发表于 2025-3-22 22:33:45
Illustrating Talks and Articles,n effectively predict flood hazard, employing a regression model proves instrumental in estimating and predicting flood characteristics within urban areas. This approach reduces the computational time associated with the hydrodynamic models. This paper provides a systematic literature review (SLR) o
pacifist
发表于 2025-3-23 04:55:33
gly embedded into how investors calculate risk and opportunities, alongside traditional financial metrics. But incorporating environmental data into investment analysis faces a whole host of challenges, complexity because of inherent diversity, lack of standardization and the list goes on..The prese
谁在削木头
发表于 2025-3-23 08:48:44
ems powered by deep learning. This study thoroughly investigates this transformative evolution, delving into the com- plex workings of recommender systems..Beyond theoretical discussions, our investigation involves a practical evaluation of these techniques on a variety of datasets, including the Am