Proceedings of the 3rd International...
International Conference on Computer Science's Complex Systems and Their Applications (2024 :)

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  • Proceedings of the 3rd International Conference on Computer Science's Complex Systems and Their Applications = ICCSA'2024 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Proceedings of the 3rd International Conference on Computer Science's Complex Systems and Their Applications/ edited by Toufik Marir ... [et al.].
    Reminder of title: ICCSA'2024 /
    remainder title: ICCSA'2024
    other author: Marir, Toufik.
    corporate name: International Conference on Computer Science's Complex Systems and Their Applications
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xvii, 354 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Mapping Study -- A comprehensive study on Artificial Intelligence of Things Optimization Approaches -- Fault Prediction in IoT Applications Using Federated Learning Based on Local Differential Privacy -- Deep Reinforcement Learning-Based Resource Allocation for the Internet of Vehicles: a Systematic Mapping Study -- Clustering using Markov Blanket Approximation to analyze agricultural data in an IoT environment -- GreenGrowth: Smart Irrigation and Data-driven Crop Management framework for Sustainable Agriculture -- Automated Weed Detection in Agriculture: A Performance Evaluation of YOLOv8 and InceptionV3 Models -- Deep Learning for prediction of leaks in oil and gas pipelines -- FNN-LSTM Model for Remaining Useful Life -- An intelligent approach to predicting of heart problems -- Enhancing Breast Tumour Classification using Ensemble Methods and Voting Systems -- Skin-VGG16: A Multimodal-based Approach for Skin Cancer Classification -- Recent Advances in Hair Removal in Dermoscopy Images Using Deep Learning Learning -- Swarm Intelligence Algorithms in Traffic Signal Control: A Critical Review of Particle Swarm, Bee Colony, and Ant Colony Approaches -- Addressing Data Heterogeneity in Federated Learning: The FedWAQ Approach to Weighted Aggregation Based on Data Quality.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-90758-6
    ISBN: 9783031907586
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