|
|
|
|
| LEADER |
04089nma a2200961 u 4500 |
| 001 |
EB002194300 |
| 003 |
EBX01000000000000001331765 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
240202 ||| eng |
| 020 |
|
|
|a 9783036591322
|
| 020 |
|
|
|a 9783036591339
|
| 020 |
|
|
|a books978-3-0365-9133-9
|
| 100 |
1 |
|
|a Zhou, Tao
|
| 245 |
0 |
0 |
|a Advanced Artificial Intelligence Models and Its Applications
|h Elektronische Ressource
|
| 260 |
|
|
|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
|
| 300 |
|
|
|a 1 electronic resource (182 p.)
|
| 653 |
|
|
|a machine learning
|
| 653 |
|
|
|a cross-docking
|
| 653 |
|
|
|a naive Bayes
|
| 653 |
|
|
|a logistic regression
|
| 653 |
|
|
|a random forest
|
| 653 |
|
|
|a condition monitoring
|
| 653 |
|
|
|a Mathematics & science / bicssc
|
| 653 |
|
|
|a quantum-inspired computation
|
| 653 |
|
|
|a ANN
|
| 653 |
|
|
|a embeddings
|
| 653 |
|
|
|a representation learning
|
| 653 |
|
|
|a deep learning
|
| 653 |
|
|
|a human resources
|
| 653 |
|
|
|a classwise splitting
|
| 653 |
|
|
|a twin network
|
| 653 |
|
|
|a recurrent neural network (RNN) autoencoder
|
| 653 |
|
|
|a predictive maintenance
|
| 653 |
|
|
|a Big Five personality test
|
| 653 |
|
|
|a class-imbalance learning
|
| 653 |
|
|
|a image retrieval
|
| 653 |
|
|
|a automotive
|
| 653 |
|
|
|a target tracking
|
| 653 |
|
|
|a SQL injection attacks
|
| 653 |
|
|
|a parameter estimation
|
| 653 |
|
|
|a automatic music generation
|
| 653 |
|
|
|a lightweight network
|
| 653 |
|
|
|a Research & information: general / bicssc
|
| 653 |
|
|
|a writer recognition
|
| 653 |
|
|
|a clustering
|
| 653 |
|
|
|a binary hash code
|
| 653 |
|
|
|a logistics management
|
| 653 |
|
|
|a embedding
|
| 653 |
|
|
|a vehicle routing problem
|
| 653 |
|
|
|a target features
|
| 653 |
|
|
|a remote sensing
|
| 653 |
|
|
|a CNN
|
| 653 |
|
|
|a SVM
|
| 653 |
|
|
|a siamese trackers
|
| 653 |
|
|
|a chaotic system
|
| 653 |
|
|
|a artificial intelligence
|
| 653 |
|
|
|a decision tree
|
| 653 |
|
|
|a long-tailed classification
|
| 653 |
|
|
|a dimension reduction
|
| 653 |
|
|
|a fruit fly optimization algorithm
|
| 653 |
|
|
|a teamwork
|
| 653 |
|
|
|a feature clustering
|
| 653 |
|
|
|a employee selection
|
| 653 |
|
|
|a neural network
|
| 653 |
|
|
|a artificial immune systems
|
| 653 |
|
|
|a self-supervised learning
|
| 653 |
|
|
|a generative pre-training
|
| 700 |
1 |
|
|a Zhou, Tao
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
0 |
|a 10.3390/books978-3-0365-9133-9
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/8062
|7 0
|x Verlag
|3 Volltext
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/128610
|z DOAB: description of the publication
|
| 082 |
0 |
|
|a 800
|
| 082 |
0 |
|
|a 000
|
| 082 |
0 |
|
|a 658
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
|
|a 140
|
| 082 |
0 |
|
|a 700
|
| 082 |
0 |
|
|a 780
|
| 520 |
|
|
|a The field of Artificial Intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more. These diverse subjects highlight the extensive scope and capability of AI models in tackling intricate challenges across distinct fields, underlining the vast potential inherent in this cutting-edge technology.
|