Artificial Intelligence Applications and Innovations: 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14–17, 2023, Proceedings, Part II: IFIP Advances in Information and Communication Technology, cartea 676
Editat de Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguezen Limba Engleză Paperback – 2 iun 2024
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.
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Specificații
ISBN-13: 9783031341090
ISBN-10: 3031341090
Pagini: 582
Ilustrații: XXXVII, 582 p. 204 illus., 176 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria IFIP Advances in Information and Communication Technology
Locul publicării:Cham, Switzerland
ISBN-10: 3031341090
Pagini: 582
Ilustrații: XXXVII, 582 p. 204 illus., 176 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria IFIP Advances in Information and Communication Technology
Locul publicării:Cham, Switzerland
Cuprins
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.