找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Recent Advancements in Artificial Intelligence ; Proceedings of ICRAA Richi Nayak,Namita Mittal,Ajay Khunteta Conference proceedings 2024 T

[復(fù)制鏈接]
查看: 55527|回復(fù): 65
樓主
發(fā)表于 2025-3-21 18:15:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Advancements in Artificial Intelligence
副標(biāo)題Proceedings of ICRAA
編輯Richi Nayak,Namita Mittal,Ajay Khunteta
視頻videohttp://file.papertrans.cn/823/822563/822563.mp4
概述Presents recent research in artificial intelligence.Discusses the outcomes of ICRAAI 2023, held in Jaipur, India.Serves as a reference resource for researchers and practitioners in academia and indust
叢書名稱Innovations in Sustainable Technologies and Computing
圖書封面Titlebook: Recent Advancements in Artificial Intelligence ; Proceedings of ICRAA Richi Nayak,Namita Mittal,Ajay Khunteta Conference proceedings 2024 T
描述.This book features research papers presented at the Second International Conference on Recent Advancements in Artificial Intelligence (ICRAAI 2023), held at Poornima University, Jaipur, India during 15 – 16 December 2023. The book presents original research work in the areas of computational intelligence, artificial intelligence, machine learning, data science and data analytics, cloud computing, and internet of things. The book is beneficial for readers from both academia and industry..
出版日期Conference proceedings 2024
關(guān)鍵詞Artificial Intelligence; Machine Learning; Data Science; Deep Learning; Computer vision; Natural Language
版次1
doihttps://doi.org/10.1007/978-981-97-1111-6
isbn_softcover978-981-97-1113-0
isbn_ebook978-981-97-1111-6Series ISSN 2731-880X Series E-ISSN 2731-8818
issn_series 2731-880X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Recent Advancements in Artificial Intelligence 影響因子(影響力)




書目名稱Recent Advancements in Artificial Intelligence 影響因子(影響力)學(xué)科排名




書目名稱Recent Advancements in Artificial Intelligence 網(wǎng)絡(luò)公開度




書目名稱Recent Advancements in Artificial Intelligence 網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Recent Advancements in Artificial Intelligence 被引頻次




書目名稱Recent Advancements in Artificial Intelligence 被引頻次學(xué)科排名




書目名稱Recent Advancements in Artificial Intelligence 年度引用




書目名稱Recent Advancements in Artificial Intelligence 年度引用學(xué)科排名




書目名稱Recent Advancements in Artificial Intelligence 讀者反饋




書目名稱Recent Advancements in Artificial Intelligence 讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:57:00 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:11:25 | 只看該作者
Recent Advancements in Artificial Intelligence 978-981-97-1111-6Series ISSN 2731-880X Series E-ISSN 2731-8818
地板
發(fā)表于 2025-3-22 06:21:06 | 只看該作者
Conference proceedings 2024held at Poornima University, Jaipur, India during 15 – 16 December 2023. The book presents original research work in the areas of computational intelligence, artificial intelligence, machine learning, data science and data analytics, cloud computing, and internet of things. The book is beneficial for readers from both academia and industry..
5#
發(fā)表于 2025-3-22 10:56:55 | 只看該作者
6#
發(fā)表于 2025-3-22 16:09:38 | 只看該作者
https://doi.org/10.1007/978-981-97-1111-6Artificial Intelligence; Machine Learning; Data Science; Deep Learning; Computer vision; Natural Language
7#
發(fā)表于 2025-3-22 17:09:20 | 只看該作者
DeepMint: Non-fungible Token Generation Using Deep Learning,o generate digital art thus making the entire process of creating NFTs convenient for the user. One such solution is the Stable Diffusion model which uses Deep Learning methods such as autoencoders, diffusion and transformers for generating images. Thus, using AI, NFTs can be generated and later sold on NFT marketplaces such as OpenSea.
8#
發(fā)表于 2025-3-22 23:14:45 | 只看該作者
9#
發(fā)表于 2025-3-23 04:05:16 | 只看該作者
Impact on Ocean Acidification Along the Hawaii Coastline Using Learning Algorithm,he corrosion of corals near the Hawaii Island coastline. By analyzing a standard real-time dataset, this research sheds light on the urgent need to address ocean acidification to protect the vulnerable marine ecosystems in the region.
10#
發(fā)表于 2025-3-23 07:26:45 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-30 05:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
彭山县| 襄樊市| 郯城县| 汉川市| 荃湾区| 含山县| 阳信县| 东城区| 宿州市| 沧州市| 洪雅县| 广平县| 广东省| 甘谷县| 嘉鱼县| 乌恰县| 遂川县| 电白县| 苍溪县| 邯郸县| 安庆市| 英德市| 望都县| 商南县| 会昌县| 思茅市| 漳州市| 洛南县| 阿克苏市| 建水县| 遵化市| 厦门市| 景德镇市| 罗江县| 榆中县| 册亨县| 资中县| 西乡县| 巴塘县| 南丹县| 若尔盖县|