Intelligent Information and Database Systems

.- Social Networks and Intelligent Systems.
.- SCE-FAKE: Sparse Coding Ensemble for Fake News Detection.
.- Structural Analysis of Co-authorship Networks: Communities and Key Actors.
.- Detecting citation cartels: a preliminary review.
.- User Dynamics Analysis in Trust Recommendation Systems.
.- Identifying Social Networks on X: A Multi-Network Approach for Inference of Community Structures.
.- Client Clustering in Federated Learning: A Survey of Methods, Architectures, and Research Challenges.
.- A Post-Quantum Secure Transport Protocol for Automotive Data.
.- Cybersecurity and Internet of Things.
.- Improving secure code synthesis with taxonomy-guided agents.
.- Egress Tunneling for Post-Exploitation via Remote Desktop Protocol Proxy.
.- A Hybrid Over- and Under-Sampling Approach for Synthetic Data Generation in Imbalanced Network Security Datasets.
.- Document Authenticity Verification via Latent Representation Analysis.
.- Computational Intelligence for Digital Content Understanding.
.- FaceParts: Segmentation and Editing of Gaussian Splatting Avatars.
.- Learning to Fuse Multi-Enhanced YOLO26n Predictions via MLP for Improved Landmark Recognition.
.- DS²Net: Joint Depth and Segmentation Learning with Synthetic Supervision.
.- A Comparative Study of Attention Mechanisms for Lightweight Person Re-Identification.
.- OmniDP: A General Interface For Dynamic 3DGS Reconstruction from Omnidirectional Sequences.
.- When Augmentation Is Not Enough: Rethinking Robustness in Semi-Supervised Semantic Segmentation.
.- Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention.
.- Computational Intelligence in Medical Applications.
.- Lesion of Cranial Nerves by Smoking During Pregnancy Leading to Strabismus: a Multi-Adaptive Causal AI Analysis of the Underlying Epigenetic Mechanisms.
.- MRI-Based Lumbar Spinal Stenosis Classification Using 3D Convolutional Neural Networks.
.- AwAIprop: A Mixed AI and Geometric Constrained Propagation for CT Airway Segmentation.
.- A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion.
.- Boundary- and Topology-Aware Learning for Abdominal CT Segmentation via Gated UNETR++ and Sobel-Weighted Cross Entropy.
.- From Lab to Clinic: Toward Deployment-Ready Graph Neural Networks for EEG-Based Neurological Diagnosis.
.- A Multimodal MRI-Based Deep Learning Method for Automated PI-RADS Assessment in Prostate Cancer.
.- Knowledge Engineering and Application for Industry 4.0.
.- Uncovering Transient Feature Interactions in Multi-Series Forecasting via Shapley Interaction Quantification.
.- Controlling Variance Suppression in Multidimensional Code-Quality Scoring: Alternative Reward Functions within the Prismetrix Framework.
.- OnCausal and Agentic AI: An Integrative Conceptual and Foundational Perspective.
.- Inductive Logic Programming Based on Model Interpretation.
.- A Controller-Mediated Multi-Agent LLM Framework for Real-Time Digital Banking Workflow Execution.
.- A Novel Adaptive Efficiency Metric for Maximum Flow Algorithms in Dynamic Networks.
.- Transforming Datasets to Requested Complexity with Projection-based Many-Objective Genetic Algorithm.
.- Optimizing Multi-League Sports Scheduling Using a Genetic Algorithm.

This two-volume set CCIS 3043-3044 constitutes the refereed proceedings of the 18th International Conference on Computational Collective Intelligence, ICCCI 2026, held in Heraklion, Crete, Greece, during September 23–25, 2026.

The 74 full papers included in this book were carefully reviewed and selected from 297 submissions. They were organized into the following topical sections:

Part I: Collective Intelligence and Collective Decision-Making; Collective Intelligence in Deep Learning and Neural Architectures; Natural Language Processing and Speech Systems; Cybersecurity, IoT and Trustworthy Systems; and Collective Intelligence in Medical Imaging and Healthcare Applications.

Part II: Collective Intelligence in Optimization and Swarm Systems; Collective Intelligence in Explainable AI; Collective Intelligence in Advanced Computing; Collective Intelligence in Human-Centered AI; and Applied Machine learning.