Complex, intelligent and software in...
International Conference on Complex, Intelligent, and Software Intensive Systems (2023))

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  • Complex, intelligent and software intensive systems = proceedings of the 17th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2023) /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Complex, intelligent and software intensive systems/ edited by Leonard Barolli.
    Reminder of title: proceedings of the 17th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2023) /
    remainder title: CISIS-2023
    other author: Barolli, Leonard.
    corporate name: International Conference on Complex, Intelligent, and Software Intensive Systems
    Published: Cham :Springer Nature Switzerland : : 2023.,
    Description: xxvi, 408 p. :ill., digital ;24 cm.
    [NT 15003449]: Quantum Algorithms for Trust-Based AI Applications -- Energy-Saving Multi-Version Timestamp Ordering Algorithm for Virtual Machine Environments -- Towards a Blockchain-based Crowdsourcing Method for Robotic Ontology Evolution -- Performance Evaluation of DTAG-based Recovery Method for DTN Considering a Real Urban RoadModel -- An Energy-aware Dynamic Algorithm for Changing Tree Structure and Process Migration in the Flexible Tree-based Fog Computing Model -- A CCM, SA and FDTD Based Mesh Router Placement Optimization in WMN -- Design of Communication Protocol for Virtual Power Plant System in Distribute Environment -- Fine-tuning VGG16 for Alzheimer's Disease Diagnosis -- Solving University Course Scheduling with Varied Constraints Using Integer Linear Programming -- A Novel hybrid Model based on CNN and Bi-LSTM for Arabic Multi-Domain Sentiment Analysis -- A Cost-Sensitive Ensemble Model for e-Commerce Customer Behavior Prediction with WeightedSVM -- Design and Performance Evaluation of a Fuzzy-based System for Assessment of Emotional Trust -- Comparing Sampling Strategies for the Classification of Bi-Objective Problems by FLACCO Features -- Efficient FPGA Implementation of a Convolutional Neural Network for Surgical Image Segmentation Focusing on Recursive Structure -- A Mobile-Oriented GPU Implementation of a Convolutional Neural Network for Object Detection.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-35734-3
    ISBN: 9783031357343
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