Artificial Intelligence Applications and Innovations
Springer International Publishing (Verlag)
978-3-031-34106-9 (ISBN)
This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14-17, 2023. This event was held in hybrid mode.
The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.
Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial).- Agents/Case Based Reasoning/Sentiment Analysis.- Biomedical - Image Analysis.- CNN - Convolutional Neural Networks YOLO CNN.- Cyber Security/Anomaly Detection.- Explainable AI/Social Impact of AI.- Graph Neural Networks/Constraint Programming.- IoT/Fuzzy Modeling/Augmented Reality.- LEARNING (Active-AutoEncoders-Federated).- Machine Learning.- Natural Language.- Optimization-Genetic Programming.- Robotics.- Spiking NN.- and Text Mining /Transfer Learning.
| Erscheinungsdatum | 02.06.2023 |
|---|---|
| Reihe/Serie | IFIP Advances in Information and Communication Technology |
| Zusatzinfo | XXXVII, 582 p. 204 illus., 176 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1041 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | AI in Engineering • Artificial Intelligence • Auto Encoders • Biomedical AI • Computer Networks • convolutional neural networks • Cybersecurity and AI • Data Mining • Deep learning • Image Analysis • Image Processing • Long Short-Term Memory • machine learning • natural language • Neural networks • Recommendation Systems • Reinforcement Learning |
| ISBN-10 | 3-031-34106-6 / 3031341066 |
| ISBN-13 | 978-3-031-34106-9 / 9783031341069 |
| Zustand | Neuware |
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