Vol. 4 No. 1 (2026): Journal of Global Engineering Review

Published: 2026-01-02

Articles

Applied Artificial Intelligence Across High-Stakes Domains: A Systematic Review of Methodological Foundations, Trustworthiness Pillars, and Cross-Domain Deployment Patterns

Nathan T. Forsythe (Author)
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Adaptive Feature Selection Optimization for High-Dimensional Data Classification: A Comparative Machine Learning Approach

Zhaoyang Luo (Author)

1-20
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A Multi-Layer Graph Attention Network for Tail Risk Spillover Path Identification Across U.S. Equity, Credit, and FX Markets

Daniel A. Whitman (Author)
- PDF
A transferability benchmark of graph neural networks for cross-domain risk contagion identification: GAT, GraphSAGE, and GCN across financial, cyber, and epidemiological networks

Daniel R. Whitaker (Author)
- PDF
Cross-Lingual Detection of Implicit Compliance Violations in Cross-Border Contracts: Few-Shot LLM, Legal-BERT, and Rule-Augmented Hybrid

Ethan R. Marsh (Author)
- PDF
A tri-axis reliability evaluation framework for large language models in high-stakes decision making: an empirical study on credit approval, clinical decision support, and compliance review

Daniel R. Whitfield (Author)
- PDF
Explainable Risk Stratification of Polypharmacy-Related Adverse Outcomes in the Elderly via Temporal Feature Engineering and Rule-Augmented Gradient Boosting

Michael R. Anderson (Author)
- PDF
Concept drift monitoring and continual learning in production AI systems: an empirical cost–benefit comparison of detection methods and adaptation strategies

Sarah M. Patterson, Marcus J. Lindberg (Author)
- PDF
Memory Poisoning Propagation Dynamics and Defense Strategy Comparison in Multi-Agent LLM Collaboration: An Empirical Study on AutoGen and LangGraph Frameworks

Michael R. Hartman (Author)
- PDF
Few-Shot, Transfer, and Meta-Learning in Naturally Data-Scarce Vertical Domains: A Cross-Sector Methodological Survey from Rare-Disease Diagnosis, Emerging-Financial-Product Risk Management, Autism Spectrum Variability, and Low-Resource Language Processin

David K. Patterson (Author)
- PDF
AI-Driven Anomaly Detection and Risk Early-Warning Across Domains: A Systematic Review of Methods, Architectures, and Deployment Challenges

Daniel R. Whitfield (Author)
- PDF
Multi-source heterogeneous data fusion: a methodological survey from early, late, and hybrid strategies to attention-based architectures

Michael R. Anderson, James W. Mitchel (Author)
- PDF
A comparative synthesis of federated learning and differential privacy synergy: cross-domain insights from finance and healthcare deployments

David M. Reynolds, Thomas J. Carter (Author)
- PDF
AI-Driven Cross-Modal Feature Alignment for Multimodal Fraud Detection in Financial Transaction Systems

Daniel Kim (Author)

21-37
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Deep Learning-Based Real-Time Fraud Detection in Digital Payment Systems: A Multi-Feature Behavioural Analysis Framework

Emily Chen (Author)

38-56
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A Comprehensive Survey on Artificial Intelligence Applications Across Interdisciplinary Domains: Techniques, Challenges, and Future Directions

Ethan Walker (Author)

57-72
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Artificial Intelligence Applications Across Interdisciplinary Domains: A Comprehensive Survey of Methods, Challenges, and Future Directions

Ryan Mitchell (Author)

73-88
- PDF
Effectiveness Evaluation of Attention Mechanism Strategies in Deep Learning-Based Single Image Super-Resolution

Xu Wang, Muyu Liu, Liqun Long (Author)

89-98
- PDF
Graph Neural Network-Based Cascading Disruption Path Identification in Multi-Tier Rare Earth Processing Networks

Yanhuan Chen, Jiacheng Hu (Author)

99-112
- PDF
Multi-Metric Trustworthiness Evaluation of AI-Assisted Medical Imaging Diagnosis: Integrating Confidence Calibration and Distribution Shift Detection

Yanhuan Chen, Jiawen Lai (Author)

113-126
- PDF
AI-Assisted Fragmented UI Repair: From Layer Chaos to Clean Interface Structure

Gengrui Wei (Author)

127-142
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LLM-Grounded Visual Alerts for Humanitarian Food-Price Crisis Dashboards: Reproducible Anomaly Detection on WFP VAM Market Data

Shaobo Wang (Author)

143-158
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Does an LLM-Based Feedback Agent Move the Needle? An Empirical Study of Student Correctness and Hint Dependency on the ASSISTments 2017 Interaction Logs

Jiawen Lai, Zan Li (Author)

159-172
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Latency–Throughput Tradeoffs of ONNX Runtime, TensorRT-LLM, vLLM, and Triton: An Empirical Comparison on 1B–3B Parameter LLM Inference

Chuankai Luo, Xu Wang (Author)

173-182
- PDF

Vol. 4 No. 1 (2026): Journal of Global Engineering Review

Articles

Applied Artificial Intelligence Across High-Stakes Domains: A Systematic Review of Methodological Foundations, Trustworthiness Pillars, and Cross-Domain Deployment Patterns

Adaptive Feature Selection Optimization for High-Dimensional Data Classification: A Comparative Machine Learning Approach

A Multi-Layer Graph Attention Network for Tail Risk Spillover Path Identification Across U.S. Equity, Credit, and FX Markets

A transferability benchmark of graph neural networks for cross-domain risk contagion identification: GAT, GraphSAGE, and GCN across financial, cyber, and epidemiological networks

Cross-Lingual Detection of Implicit Compliance Violations in Cross-Border Contracts: Few-Shot LLM, Legal-BERT, and Rule-Augmented Hybrid

A tri-axis reliability evaluation framework for large language models in high-stakes decision making: an empirical study on credit approval, clinical decision support, and compliance review

Explainable Risk Stratification of Polypharmacy-Related Adverse Outcomes in the Elderly via Temporal Feature Engineering and Rule-Augmented Gradient Boosting

Concept drift monitoring and continual learning in production AI systems: an empirical cost–benefit comparison of detection methods and adaptation strategies

Memory Poisoning Propagation Dynamics and Defense Strategy Comparison in Multi-Agent LLM Collaboration: An Empirical Study on AutoGen and LangGraph Frameworks

Few-Shot, Transfer, and Meta-Learning in Naturally Data-Scarce Vertical Domains: A Cross-Sector Methodological Survey from Rare-Disease Diagnosis, Emerging-Financial-Product Risk Management, Autism Spectrum Variability, and Low-Resource Language Processin

AI-Driven Anomaly Detection and Risk Early-Warning Across Domains: A Systematic Review of Methods, Architectures, and Deployment Challenges

Multi-source heterogeneous data fusion: a methodological survey from early, late, and hybrid strategies to attention-based architectures

A comparative synthesis of federated learning and differential privacy synergy: cross-domain insights from finance and healthcare deployments

AI-Driven Cross-Modal Feature Alignment for Multimodal Fraud Detection in Financial Transaction Systems

Deep Learning-Based Real-Time Fraud Detection in Digital Payment Systems: A Multi-Feature Behavioural Analysis Framework

A Comprehensive Survey on Artificial Intelligence Applications Across Interdisciplinary Domains: Techniques, Challenges, and Future Directions

Artificial Intelligence Applications Across Interdisciplinary Domains: A Comprehensive Survey of Methods, Challenges, and Future Directions

Effectiveness Evaluation of Attention Mechanism Strategies in Deep Learning-Based Single Image Super-Resolution

Graph Neural Network-Based Cascading Disruption Path Identification in Multi-Tier Rare Earth Processing Networks

Multi-Metric Trustworthiness Evaluation of AI-Assisted Medical Imaging Diagnosis: Integrating Confidence Calibration and Distribution Shift Detection

AI-Assisted Fragmented UI Repair: From Layer Chaos to Clean Interface Structure

LLM-Grounded Visual Alerts for Humanitarian Food-Price Crisis Dashboards: Reproducible Anomaly Detection on WFP VAM Market Data

Does an LLM-Based Feedback Agent Move the Needle? An Empirical Study of Student Correctness and Hint Dependency on the ASSISTments 2017 Interaction Logs

Latency–Throughput Tradeoffs of ONNX Runtime, TensorRT-LLM, vLLM, and Triton: An Empirical Comparison on 1B–3B Parameter LLM Inference

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