同谋
发表于 2025-3-26 21:05:10
2731-5002 ration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.978-3-031-31958-7978-3-031-31956-3Series ISSN 2731-5002 Series E-ISSN 2731-5010
SPECT
发表于 2025-3-27 04:29:37
A Language-Free Hate Speech Identification on Code-mixed Conversational Tweets,
Heresy
发表于 2025-3-27 07:32:39
Ensuring the Invariance of Object Images to Linear Movements for Their Recognition,978-0-230-60568-8
evince
发表于 2025-3-27 13:24:10
4th International Conference on Artificial Intelligence and Applied Mathematics in EngineeringICAIAME 2022
Promotion
发表于 2025-3-27 16:00:45
Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Netwine Diskussion, die sich noch nicht einmal mit der energetischen Nutzung von Biomasse insgesamt beschäftigen will, sondern nur mit einem Teil davon, nämlich jenem, der noch eine biotechnologische Energieumwandl978-3-642-01115-3
一起
发表于 2025-3-27 20:02:11
2731-5002 tional Conference on Artificial Intelligence and Applied MatAs general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presente
ALB
发表于 2025-3-27 22:51:15
http://reply.papertrans.cn/11/1010/100902/100902_37.png
创造性
发表于 2025-3-28 05:37:07
https://doi.org/10.1007/978-3-662-24863-8r of all triangles forming the triangulation, it is sufficient to keep one-third of it, and it is more advantageous in terms of sizing to keep the color of a certain number of clusters instead of keeping the colors of all triangles.
GULF
发表于 2025-3-28 06:35:12
http://reply.papertrans.cn/11/1010/100902/100902_39.png
nullify
发表于 2025-3-28 12:31:21
https://doi.org/10.1007/978-3-662-24872-0stigated. There are four classes of images with red, yellow, green, and off tags in the database used. When the results are examined, it is seen that the classification accuracy of over 96% is achieved.