Vol. 1 No. 1 (2026)

Published April 2, 2026
Regular Issue 2026 01 01

Regular Issue on Optical Measurement and Instrument Science

Articles

Amelia Reynolds (Author)
Uncertainty-Aware Artificial Intelligence: From Epistemic Quantification to Trustworthy Cross-Domain Decision Support
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Klaus Weber (Author)
Automated Machine Learning for Optical Surface Inspection: Neural Architecture Search and Hyperparameter Optimization for Self-Designing Inspection Networks
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Hajimi Bao (Author)
Federated Learning for Privacy-Preserving Collaborative Optical Surface Inspection Across Manufacturing Facilities
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Emily Richardson (Author)
TransNAS-Stock: Transfer Learning and Neural Architecture Search for Cross-Market Stock Movement Prediction
Samuel Parker (Author)
Uncertainty Quantification and Explainable AI for Aneurysm Rupture Risk Prediction: A Bayesian Deep Learning Approach to Hemodynamic Analysis
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Klaus Weber (Author)
Test-Time Adaptation and Rapid Deployment for Deep Learning in Optical Surface Inspection: Zero-Label Model Adaptation to New Product Variants and Measurement Conditions
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Maleb Gebi (Author)
Explainability and Interpretability for Deep Learning in Optical Surface Inspection: Attribution-Based Analysis of Thermal Imaging and Defect Detection Decisions
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Hajimi Bao (Author)
Sentiment-Enhanced Temporal Graph Neural Network for Stock Trend Prediction
Tang Bao (Author)
Explainable AI in Financial Prediction: Bridging Interpretability and Accuracy through Graph-based Neural Networks and Regularization Techniques
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Klaus Weber (Author)
Knowledge Distillation for Optical Surface Inspection: Compressing Large Inspection Networks into Efficient Deployable Models
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Maleb Gebi (Author)
Adversarial Robustness for Deep Learning in Optical Surface Inspection: Attacks, Defenses, and Certified Perturbation Analysis
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James Carter (Author)
Knowledge Distillation and Model Compression for Financial Prediction: Adapting Graph-Based State Space Models for Resource-Constrained Environments
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Klaus Weber (Author)
Toward Trusted Autonomous Optical Surface Inspection: An Integrated Framework for Robustness, Uncertainty, Explainability, and Open-Set Recognition
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Maleb Gebi (Author)
Generative Models for Optical Surface Inspection: Synthetic Training Data Augmentation via Conditional GANs and Diffusion Models
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William Brooks (Author)
Causal Inference and Counterfactual Reasoning for Stock Market Prediction: A Graph-Based State Space Approach
Yi Bao (Author)
Patient-Reported Outcomes and Health-Related Quality of Life as Determinants of First-Line Treatment Selection in Advanced Hepatocellular Carcinoma: A Synthesis of Evidence and Proposal of a PRO-Inclusive Framework
Maleb Gebi (Author)
Out-of-Distribution Detection and Open-Set Recognition for Deep Learning in Optical Surface Inspection: Identifying Unknown Defects and Novel Product Variants
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Claire Peterson (Author)
MarkovFormer: Market Regime-Aware Hierarchical State Space Architecture for Stock Movement Prediction