logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

Advances in Artificial Intelligence: Models, Optimization, and Machine Learning, Second Edition by Florin Leon, Mircea Hulea, Marius Gavrilescu ISBN 9783725834747, 9783725834730, 3725834741, 3725834733 instant download

  • SKU: EBN-234857394
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.5

15 reviews
Instant download (eBook) Advances in Artificial Intelligence: Models, Optimization, and Machine Learning, Second Edition after payment.
Authors:Florin Leon, Mircea Hulea, Marius Gavrilescu
Pages:370 pages
Year:2025
Edition:2nd
Publisher:MDPI
Language:english
File Size:34.35 MB
Format:pdf
ISBNS:9783725834747, 9783725834730, 3725834741, 3725834733
Categories: Ebooks

Product desciption

Advances in Artificial Intelligence: Models, Optimization, and Machine Learning, Second Edition by Florin Leon, Mircea Hulea, Marius Gavrilescu ISBN 9783725834747, 9783725834730, 3725834741, 3725834733 instant download

The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning, 2nd Edition” of the MDPI Mathematics journal. 
-
The content of this Special Issue encompasses a diverse array of topics related to artificial intelligence, spanning both foundational theories and practical applications. It covers advancements in deep learning and machine learning techniques, including neural networks and reinforcement learning, as well as the growing field of federated learning. This issue also explores developments in natural language processing and multimodal data analysis, alongside optimization strategies inspired by evolutionary algorithms and probabilistic models, such as Gaussian processes.
-
It also highlights research in feature selection and support vector machines, innovations in autonomous driving and trajectory prediction, and broader applications of artificial intelligence in decision-making and intelligent systems. We anticipate that the scientific findings presented in this volume will offer valuable references and inspiration to those eager to explore new frontiers in artificial intelligence, machine learning, and their extensive real-world applications.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products