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Artificial Intelligence Applications and Innovations: 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 1417, 2023, Proceedings, Part I 2023 ed. [Hardback]

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  • Formāts: Hardback, 584 pages, height x width: 235x155 mm, weight: 1093 g, 152 Illustrations, color; 17 Illustrations, black and white; XXXVII, 584 p. 169 illus., 152 illus. in color., 1 Hardback
  • Sērija : IFIP Advances in Information and Communication Technology 675
  • Izdošanas datums: 01-Jun-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031341104
  • ISBN-13: 9783031341106
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Artificial Intelligence Applications and Innovations: 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 1417, 2023, Proceedings, Part I 2023 ed.Palielināt
  • Formāts: Hardback, 584 pages, height x width: 235x155 mm, weight: 1093 g, 152 Illustrations, color; 17 Illustrations, black and white; XXXVII, 584 p. 169 illus., 152 illus. in color., 1 Hardback
  • Sērija : IFIP Advances in Information and Communication Technology 675
  • Izdošanas datums: 01-Jun-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031341104
  • ISBN-13: 9783031341106
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031341106.html
Keywords:
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 1417, 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.