Titlebook: Applications of Generative AI; Zhihan Lyu Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer N

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Acquired Immunodeficiency Syndromeligent systems to perform reliable pattern classification. This is the case when monitoring brain activity for epileptic seizures that constitute infrequent periods when abnormal electrical activity propagates across clusters of neurons. Here, as a solution, we describe how a generative adversarial

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https://doi.org/10.1007/978-1-4020-5614-7his Chapter explores the prospect of generative artificial intelligence (AI) chatbots in social support interventions to improve an individual‘s sense of belonging, social support, and reduce loneliness. This Chapter reviews the prominent areas that AI chatbots are currently being implemented and th

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Acquired Immunodeficiency Syndromential to significantly change wellbeing education. This Chapter explores the applications of generative AI technologies in wellbeing education, with a focus on how chatbots and similar can be used to cultivate wellbeing through the SEARCH framework. For clarity, the SEARCH framework focuses on devel

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sinoatrial-node

https://doi.org/10.1007/978-1-4020-5614-7ately fitting the impulsive noise is crucial. Traditional models with fixed parameters can only approximate the global heavy-tail distribution of the impulsive noise, failing to capture local distributions of varying lengths. To address this limitation, a GAN-based underwater noise simulator (GANUNS

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https://doi.org/10.1007/978-1-4020-5614-7oping and deploying AI models for medical imaging is challenging, due to the limited availability and quality of data, as well as the high complexity and diversity of imaging modalities and tasks. Generative AI models, such as variational autoencoders (VAEs), generative adversarial networks (GANs),