Mahmud / Rahman / Kaiser | Applied Intelligence and Informatics | Buch | 978-3-032-42347-4 | www.sack.de

Buch, Englisch, 475 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Mahmud / Rahman / Kaiser

Applied Intelligence and Informatics

6th International Conference, AII 2026, London, UK, October 21–23, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-42347-4
Verlag: Springer

6th International Conference, AII 2026, London, UK, October 21–23, 2026, Proceedings

Buch, Englisch, 475 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-42347-4
Verlag: Springer


This book constitutes the proceedings of the 6th International Conference on Applied Intelligence and Informatics, AII 2026, held in London, UK, during October 21–23, 2026.

The 31 full papers included in these proceedings were carefully reviewed and selected from 119 submissions. They were organized in the following topical sections: Emerging Applications of AI and Informatics; Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; and Application of AI and Informatics in Network, Security and Analytics.

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Zielgruppe


Research

Weitere Infos & Material


.- Emerging Applications of AI and Informatics
.- Unsupervised Quantum Kernel Learning of Symmetry Protected Topological Phases via Geometric Tensor Weighting.
.- Capacity-Constrained Multi-Robot Task Allocation via Quantum Approximate Optimisation: A Reproducible Benchmark on Solomon VRPTW C101.
.- Explainable Variational Quantum Policy Gradient: SHAP-Based Interpretability of Quantum Reinforcement Learning Agents on CartPole.
.- Human Interpretive Presence in AI-Assisted Qualitative Research: A Reproducible Workflow for Social and Emotional Learning (SEL).
.- Modeling Progressive Neuronal Ablation in Biomimetic Hardware Spiking Neural Networks.
.- An Assessment of Quantum Principal Component Analysis.
.- Transfer Learning in Genetic Algorithms for Combinatorial Optimization Using Fitness Lineage.
.- Generative AI for Inclusive Higher Education: Evaluating an Inclusive Education Toolkit for Improving Participation in Bangladeshi HE and TVET.
.- Application of AI and Informatics in Healthcare
.- Knowing When Not to Act: Toward Capability-Aware Healthcare AI.
.- An Explainable Cleanlab-Guided Uncertainty-Based Active Learning Framework for Data-Efficient Parkinson’s Disease Classification.
.- RetinaFusionNet: Gated Multimodal Fusion for Classifying Carotid Intima-Media Thickness.
.- CARE-Lung: Calibrated, Cross-Validated Cycle-to-Patient Aggregation with Conformal Referral for Respiratory Sound Screening.
.- Systematic Evaluation of Data Augmentation Strategies for Ordinal BI-RADS Classification in Breast Ultrasound.
.- Assessing Dysarthric Speech Intelligibility via Generative Augmentation and Self-Supervised Linguistic Representations.
.- A Comparative Evaluation of Machine Learning, Deep Learning, and Vision Transformer Models for Alzheimer’s Disease Classification.
.- Explainable Multi-Model Attention-Based Deep Learning Algorithm for Brain Tumor Segmentation.
.- Application of AI and Informatics in Pattern Recognition
.- Patient-Guided Attention Gate for False-Negative-Aware Melanoma Detection Using Hybrid CNN-ViT Architecture on ISIC 2024 SLICE-3D.
.- Evaluating Few-Shot Learning for Cherry Leaf Disease Classification in Real-World Agricultural Settings.
.- Evidence From Within: Explainable YOLOv8 for Reproducible Brain Tumour Localisation.
.- ColourMag: A Learning-Based Colour Magnification Framework for Remote Heart Rate Estimation.
.- An Explainable Ensemble Deep Learning Model for Multiclass Skin Disease Classification Using Dermoscopic Images.
.- Improving Underwater Marine Species Classification Through Imbalance-Aware Learning and Cross-Dataset Evaluation.
.- Incongruity-Aware Sarcasm Detection.
.- Calcification-Informed BI-RADS Categorization of Mammograms: A Combined Detection and Classification Approach.
.- Application of AI and Informatics in Network, Security, and Analytics
.- Agentic-DVC: Autonomous Software Risk Mitigation.
.- Usage and Perceptions of Generative AI in Learning Among University Students in Bangladesh.
.- Disaster Classification and Progression Detection from Social Media Data Using Deep Learning.
.- An Explainable Hybrid Machine Learning Framework for Smart Irrigation Prediction and Anomaly-Aware Decision Support.
.- Determination of PM2.5 from Distant Views: Across the Miles with Machine Learning.
.- Federated Learning for Early Prediction of Cardiovascular Disease in Privacy-Constrained Healthcare Environments.
.- Mapping Fiscal Landscapes: Understanding Public Sector Finances Through Data Visualisation.



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