Titlebook: Advances in Artificial Intelligence and Applied Cognitive Computing; Proceedings from ICA Hamid R. Arabnia,Ken Ferens,Fernando G. Tinetti C

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to NVRAM-based main memory in embedded sensor nodes. The basic idea is to preserve each bit in flash mapping table, which is stored in NVRAM, from being inverted frequently during the mapping table update process. To achieve this, a two-level mapping mechanism is employed while considering the acce

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dowagers-hump

DEMUR

Obstacle

Unsupervised Classification of Cell-Imaging Data Using the Quantization Error in a Self-Organizing Mign of smart services elaborates on what constitutes a successful smart service and describes experiences in the area of interdisciplinary teams, strategic partnerships, the overall service systems and the common data basis. In the third part, technical reference architectures are presented in detai

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Pigeon

Susan J. Ferguson Ph.D.,Anne S. Kasper Ph.D.t space when it is trained with a GAN architecture versus traditionally for predicting if a freshman student will leave Marist College within their first year. Our experimental results suggest that GANs are an alternative to training neural models for student dropout/transfer prediction.

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2569-7072 g (CSCE‘20).Includes the tracks: artificial intelligence and.The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Ve

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Rankle

https://doi.org/10.1007/978-3-030-73147-2rom the UCI machine learning repository. This dataset enables us to apply zero-shot learning to human motion and action recognition. Our results verify that the proposed method outperforms state-of-the-art algorithms.