Titlebook: Data Science and Artificial Intelligence; First International Chutiporn Anutariya,Marcello M. Bonsangue Conference proceedings 2023 The Ed

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Tempor

Complications of Regional Anesthesiae to limited choices of the publicly available datasets, most of the machine learning-based classifiers were trained by the earlier versions of open-source projects that no longer represent the characteristics and properties of modern programming languages. Our experiments exhibit the feasibility an

Innocence

organism

https://doi.org/10.1007/978-3-319-98264-9ing method to forecast the water level dynamics of the Kapuas Kecil River and determine the optimal window size for precise predictions. Our results reveal an optimal window size of 336 h (equivalent to 14?days) for water level prediction using LSTM in this coastal region. Using this optimal window

Scintillations

Maria Angela Cerruto,Alessandra Masin brain-computer interfaces (BCIs). However, due to the limited amount of available data, overfitting is a common problem, especially when using a deep-learning classifier. One way to address this is by performing data augmentation. In this paper, we investigate the efficacy of the diffusion model as

Euphonious

eustachian-tube

https://doi.org/10.1007/978-3-031-35575-2l network (GAN) to create and alter images that are practically impossible for humans to distinguish from authentic ones. The development of GAN technology has led to significant improvements in image generation. This progress has made it difficult for humans to differentiate between generated image