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  • Produktbild: Computational Collective Intelligence
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Computational Collective Intelligence 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.09.2024

Abbildungen

XXVIII, 395 p. 172 illus., 111 illus. in color.

Herausgeber

Ngoc Thanh Nguyen + weitere

Verlag

Springer

Seitenzahl

395

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

639 g

Sprache

Englisch

ISBN

978-3-031-70818-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.09.2024

Abbildungen

XXVIII, 395 p. 172 illus., 111 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

395

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

639 g

Sprache

Englisch

ISBN

978-3-031-70818-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Collective Intelligence
  • Produktbild: Computational Collective Intelligence

  • .- Social Networks and Intelligent Systems.


    .- A deep learning approach to fine-grained political ideology classification on social media texts.


    .- Enhancing Social Network Trust with Improved EigenTrust Algorithm.


    .- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice.


    .- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network.


    .- Assessing Student Quality of Life: Analysis of Key Influential Factors.


    .- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction.


    .- Cybersecurity, Blockchain Technology, and Internet of Things.


    .- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning.


    .- Daily activities forecasting for long-term elderly behavior change detection.


    .- Detection of Fake Facial Images and Changes in Real Facial Images.


    .- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems.


    .- Malware detection among contact tracing apps with deep learning.


    .- Cooperative Strategies for Decision Making and Optimization.


    .- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm.


    .- Delays in computing with parallel metaheuristics on HPC infrastructure.


    .- Reinforcement Learning-Based Cooperative Traffic Control System.


    .- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates.


    .- New results for some Tur´an problem instances obtained using the  reinforcement learning technique.


    .- Computational Intelligence for Digital Content Understanding.


    .- Impact of acquisition parameters on the performance of radiomic systems.


    .- Feature Explainability and Enhancement for Skin Lesion Image Analysis.


    .- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach.


    .- Weak Supervised Asphalt Pavement Segmentation.


    .- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification.


    .- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures.


    .- Knowledge Engineering and Application for Industry 4.0.


    .- High learning hierarchical neural networks.


    .- A new method of detecting Alzheimer’s disease.


    .- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks.


    .- Understanding Geometric Relationship Concepts in Few-Shot Learning.


    .- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns.


    .- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions.


    .- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes.