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標(biāo)題: Titlebook: Applications of Generative AI; Zhihan Lyu Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer N [打印本頁(yè)]

作者: 小客車    時(shí)間: 2025-3-21 19:22
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書目名稱Applications of Generative AI被引頻次學(xué)科排名




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書目名稱Applications of Generative AI讀者反饋




書目名稱Applications of Generative AI讀者反饋學(xué)科排名





作者: 并置    時(shí)間: 2025-3-21 23:03
Generative Adversarial Network for Synthetic Image Generation Method: Review, Analysis, and Perspecion of GAN in a variety of application domains. Typical GAN applications are presented, including those in synthetic image processing and computer vision, natural language processing, music, speech, and audio, medicine, and data science. The final section of the research presents the study’s conclus
作者: 易受騙    時(shí)間: 2025-3-22 03:39

作者: relieve    時(shí)間: 2025-3-22 06:09

作者: 注視    時(shí)間: 2025-3-22 10:33
Generative AI Applications in the Health and Well-Being Domain: Virtual and Robotic Assistance and at can offer psychological counselling and assistance for social and mental health both outside and within care facilities. Virtual and embodied bots have a growing role in the management of emotions, stress and outcomes at the interface between doctors, psychologists, nurses and patients.?Yet at th
作者: BINGE    時(shí)間: 2025-3-22 15:42

作者: 影響深遠(yuǎn)    時(shí)間: 2025-3-22 21:03

作者: 變色龍    時(shí)間: 2025-3-22 22:54

作者: 狂熱語(yǔ)言    時(shí)間: 2025-3-23 04:49

作者: Adjourn    時(shí)間: 2025-3-23 06:20
dical imaging and construction/twinning industry). It covers a variety of cutting-edge technologies in Generative AI, which provides researchers with new research ideas..978-3-031-46240-5978-3-031-46238-2
作者: 悠然    時(shí)間: 2025-3-23 11:05
Acetylcholinesterase Inhibitorsting drugs, thereby raising concerns regarding patentability. Furthermore, the experimental validation of the generated molecules through exemplary case studies remains limited. This chapter focuses on the application of generative models in de novo drug design. Firstly, we provide a brief introduct
作者: Regurgitation    時(shí)間: 2025-3-23 14:05

作者: FLINT    時(shí)間: 2025-3-23 21:14

作者: Outmoded    時(shí)間: 2025-3-24 01:29

作者: 競(jìng)選運(yùn)動(dòng)    時(shí)間: 2025-3-24 06:12
Robert L. Balster,Sharon L. Walshat can offer psychological counselling and assistance for social and mental health both outside and within care facilities. Virtual and embodied bots have a growing role in the management of emotions, stress and outcomes at the interface between doctors, psychologists, nurses and patients.?Yet at th
作者: 積習(xí)已深    時(shí)間: 2025-3-24 06:37

作者: 高深莫測(cè)    時(shí)間: 2025-3-24 14:18

作者: nettle    時(shí)間: 2025-3-24 17:07

作者: Mnemonics    時(shí)間: 2025-3-24 23:00

作者: IST    時(shí)間: 2025-3-24 23:46

作者: Paleontology    時(shí)間: 2025-3-25 03:34

作者: 先鋒派    時(shí)間: 2025-3-25 09:09
Creating Ad Campaigns Using Generative AI,argeting online users, and with different landing pages to target information seekers vs. product buyers. Generating new ads and keywords for this experimental endeavor becomes essential in effective search campaign management. In this work, we discuss the role of generative AI in creating and managing search ad campaigns programmatically.
作者: 織物    時(shí)間: 2025-3-25 12:21
Book 2024on scenarios. Readers gain a deeper understanding of the emerging discipline of Generative AI. This book covers the latest cutting-edge application technologies of Generative AI in various fields. It provides relevant practitioners with ideas to solve problems and deepen their understanding of Gener
作者: 聰明    時(shí)間: 2025-3-25 18:51

作者: 享樂主義者    時(shí)間: 2025-3-25 22:53
Acquired Immunodeficiency Syndromeclassify healthy and seizure activity attained higher performance when trained on an augmented dataset composed of both original and synthetic data. Altogether, this work shows how GANs can provide data augmentation in a domain of epileptic seizures characterized by rare events.
作者: Instantaneous    時(shí)間: 2025-3-26 02:11
Acquired Immunodeficiency Syndromeadly conceptualises how AI technologies can be used to teach and explore the SEARCH components. The potential impact of AI-enhanced wellbeing education on teaching and learning practice—with implications for preparing teachers with ethical considerations and practical knowledge for using such technology—are also discussed.
作者: 帶傷害    時(shí)間: 2025-3-26 06:32
Wilhelm Kirch (Professor Dr. Dr.)pening the door to a specific kind of data augmentation by combining data sets from disparate communities. Beyond that, we also discuss the use of GenAI for synthetic data, and for predictions that can be of practical use when replanting vegetation in degraded environments, with an eye to biodiversity.?
作者: 劇毒    時(shí)間: 2025-3-26 09:33

作者: Opponent    時(shí)間: 2025-3-26 14:03
Privacy in Generative Models: Attacks and Defense Mechanisms,opic, the privacy attacks against generative models and relevant defense mechanisms are discussed. In particular, the privacy attacks and related privacy preserving methods are categorized and discussed. Then, some challenges and future research directions are examined.
作者: 連接    時(shí)間: 2025-3-26 18:03

作者: 大雨    時(shí)間: 2025-3-26 22:36

作者: Expressly    時(shí)間: 2025-3-27 02:35

作者: 枯燥    時(shí)間: 2025-3-27 05:27

作者: BLANK    時(shí)間: 2025-3-27 13:12

作者: colony    時(shí)間: 2025-3-27 15:14
Acetylcholinesterase Inhibitorsne. Furthermore, the increasing availability of GPT tools suggests that the synergy between the two will continue to improve research output quality and save time. The key to successful integration lies in the appropriate use of GPT that can be achieved by directing AI tools to solve tasks effectively and using prompt engineering techniques.
作者: 凈禮    時(shí)間: 2025-3-27 19:24

作者: 謙虛的人    時(shí)間: 2025-3-27 22:38

作者: 圓柱    時(shí)間: 2025-3-28 05:47
https://doi.org/10.1007/978-1-4020-5614-7ta or latent representations. In this chapter, we provide a practical guide on how generative AI is transforming medical imaging, by reviewing the state-of-the-art methods and frameworks, presenting some successful case studies in different domains and modalities, and discussing the future directions and opportunities for research and development.
作者: 煩憂    時(shí)間: 2025-3-28 08:09

作者: interlude    時(shí)間: 2025-3-28 13:21
Image Rendering with Generative Adversarial Networks,tic rendering, style transfer, and image synthesis, are discussed, along with the challenges and limitations associated with them. The chapter concludes with an outlook on the future prospects of neural rendering and generative models, emphasizing their potential to revolutionize digital content creation and consumption.
作者: CAGE    時(shí)間: 2025-3-28 16:10

作者: Pastry    時(shí)間: 2025-3-28 21:02
How Generative AI Is Transforming Medical Imaging: A Practical Guide,ta or latent representations. In this chapter, we provide a practical guide on how generative AI is transforming medical imaging, by reviewing the state-of-the-art methods and frameworks, presenting some successful case studies in different domains and modalities, and discussing the future directions and opportunities for research and development.
作者: 宿醉    時(shí)間: 2025-3-28 23:31

作者: 北極人    時(shí)間: 2025-3-29 04:23

作者: 不整齊    時(shí)間: 2025-3-29 08:53

作者: CLIFF    時(shí)間: 2025-3-29 14:05

作者: Moderate    時(shí)間: 2025-3-29 16:03
Barbara J. Mason,Charles J. Heyserave recently become a popular research topic. Even so, not many studies are deep enough to explain the relationship between the many variations of GAN and how they arise. We aim to provide a survey of different GAN techniques in this work, discussing them from the angles of theory, algorithms, and p
作者: 適宜    時(shí)間: 2025-3-29 22:08

作者: 共棲    時(shí)間: 2025-3-30 02:26

作者: ATRIA    時(shí)間: 2025-3-30 05:39
Encyclopedia of Psychopharmacologynstruction, and Facility Management (AEC-FM) industry. It begins with a general overview of Generative AI, highlighting its capacity to create novel content. The subsequent section delves into the technological requirements for implementing Generative AI in the AEC-FM industry, including Internet of
作者: Default    時(shí)間: 2025-3-30 11:27

作者: 和平    時(shí)間: 2025-3-30 12:29

作者: sphincter    時(shí)間: 2025-3-30 17:06

作者: 公社    時(shí)間: 2025-3-30 23:47
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
作者: 勤勞    時(shí)間: 2025-3-31 04:07
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
作者: 群島    時(shí)間: 2025-3-31 05:21
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
作者: Thyroid-Gland    時(shí)間: 2025-3-31 11:02

作者: 種類    時(shí)間: 2025-3-31 15:46

作者: sinoatrial-node    時(shí)間: 2025-3-31 18:19
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
作者: Emg827    時(shí)間: 2025-4-1 01:25
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),
作者: 啤酒    時(shí)間: 2025-4-1 04:38

作者: neutrophils    時(shí)間: 2025-4-1 06:36

作者: 火光在搖曳    時(shí)間: 2025-4-1 11:01
978-3-031-46240-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: FRONT    時(shí)間: 2025-4-1 17:47

作者: Albumin    時(shí)間: 2025-4-1 22:22

作者: synovium    時(shí)間: 2025-4-2 00:14

作者: 抒情短詩(shī)    時(shí)間: 2025-4-2 05:14

作者: 虛情假意    時(shí)間: 2025-4-2 07:46
Unlocking the Potential of Generative Artificial Intelligence in Drug Discovery,nation with the increasing computational power and abundant data resources available in the public domain, generative models have made significant advancements into the area of drug discovery and development. In particular, generative models are being extensively explored for de novo design of novel
作者: 抑制    時(shí)間: 2025-4-2 12:41

作者: LURE    時(shí)間: 2025-4-2 19:18

作者: maudtin    時(shí)間: 2025-4-2 22:43





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