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  • Artificial intelligence applications and innovations = 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024 : proceedings.. Part III /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Artificial intelligence applications and innovations/ edited by Ilias Maglogiannis ... [et al.].
    Reminder of title: 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024 : proceedings.
    remainder title: AIAI 2024
    other author: Maglogiannis, Ilias.
    corporate name: IFIP TC12 WG12.5--IFIP Conference on Artificial Intelligence Applications and Innovations
    Published: Cham :Springer Nature Switzerland : : 2024.,
    Description: xxvii, 378 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: A comparison of AI methods for Groundwater Level Prediction in Burkina Faso. -- A Deep Learning-Based Framework for Racket Sports Court Registration. -- Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer. -- Cross-Relational Reasoning for Neural Tensor Networks. -- C-XGBoost: A tree boosting model for causal effect estimation. -- FCGAN: Spectral Convolutions via FFT for Channel-Wide Receptive Field in Generative Adversarial Networks. -- Forecasting Longitudinal Acceleration in Urban Vehicles. -- Lip Recognition Based on Bi-GRU with Multi-Head Self-Attention. -- Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. -- Towards robust Road Quality Detection using different Detection Models. -- Towards Semantically Conscious, Conversation-based Chatbot Services for Migrants. -- Using Boosting and Neural Networks Methods to Detect Healthcare Fraud. -- Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation. -- Carbon-Aware Machine Learning: A case study on cellular traffic forecasting with Spiking Neural Networks. -- Emerging research topics identification using Temporal Graph Neural Networks. -- Explanations for Core Decomposition. -- Graph Neural Networks In PyTorch For Link Prediction In Industry 4.0 Process Graphs. -- Knowledge Graph Completion using Structural and Textual Embeddings. -- Lightweight Inference by Neural Network Pruning: Accuracy, Time and Comparison. -- Multi-Adaptive Neural Modelling of the Interplay of Changing Organisational Contexts, Epigenetics, and Personality Traits in the Development of Burnout. -- Parameterization of the Victor-Purpura distance for matching temporal neural activity patterns in real-time. -- A Constraint-Based Greedy-Local-Global Search for the Warehouse Location Problem. -- A Second-Order Adaptive Network Model for Political Opinion Dynamics. -- An evaluation framework for synthetic data generation models. -- Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules. -- Statistical Modeling of Univariate Unimodal Data using Π-sigmoid Mixture Models. -- Test Case Features as Hyper-heuristics for Inductive Programming.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-63219-8
    ISBN: 9783031632198
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