Vol. 2 No. 2 (2026)

Published: 02-07-2026

Articles

Artificial Intelligence in Instrumentation: A Balanced Analysis of Potential Benefits and Risks

Fujie Lu

1-5
- PDF
Research on a Dynamic Behavior Analysis Framework Based on Random Forest and Markov Chain

Xiyao Liu, Xiangrui Li, Yuxuan Qiu

6-11
- PDF
Study on Abnormal Vibration Cause and Blade Damage Fractal of Induced Draft Fan Burning Low-quality Coal

Shaocong Fu

12-16
- PDF
Cross-Domain Classification for Hyperspectral Imagery: A Comprehensive Review of Domain Adaptation, Domain Generalization, and Multimodal Approaches

Jiashuo Hou

17-27
- PDF
Physics-Based Data Generation with SVR Surrogate Modeling for PDMS Thin Film Emissivity Prediction

Yifan Wu

28-34
- PDF
DFPSE: Diagnostic-Feature-Preserving Signal Enhancement for Robust Bearing Fault Diagnosis under Compound Noise

Jiajun Liu, Baishun Su

35-47
- PDF
Additive Tree Latent Variable Models for Insurance Loss Prediction

Jiajun Li

48-54
- PDF
Toward 6G-Empowered Multi-Machine Collaboration in Smart Agriculture: A Communication-Control Co-Design Survey

Baofeng Ji, Yangyang Li, Ran Zhang, Saibing Wang, Yifan Liu, Wenjing Xu, Kaipeng Sun, Xin Zhang, Du Cui, Yanchao Guo, Peipei Wang, Song Chen, Jinguang Li, Zheng Tu, Shusheng Lü

55-70
- PDF
Bayesian Inverse Sampling and Shapley-Driven Calibration for Dual-Channel Preference Aggregation

Jiawei Liu, Kai Li, Qisheng Su

71-76
- PDF
Passive Shading Optimization for Buildings Based on Differential Evolution and Non-Dominated Sorting Multi-Objective Evolutionary Algorithm

Binhe Wang, Ran Cheng, Haoran Wu

77-84
- PDF
Numerical Simulation of Alpha Particle Scattering Based on the Symplectic Euler and Heun Methods

Wenyu Zou

85-92
- PDF
A Multi-Source Monitoring Data Fusion and Early Warning Framework Based on LightGBM-SHAP and Weibull Distribution

Haiben Lin, Jiekai Li, Qiqi Li

93-99
- PDF
Research Progress on Multi-Hazard Disaster Mechanisms, Monitoring, Early Warning and Control in Underground Engineering

Lin Gao, Jiyang Jin

100-110
- PDF
TalentFlow: Explainable Internal Talent Mobility Prediction Using Graph Representation Learning

Daniel Brooks, Priya Raman, Lina Chen

111-117
- PDF
ConformalSafe-Routing: Uncertainty-Aware Safe Deep Reinforcement Learning for Adaptive Routing Convergence

Fatima Rahman, Eric Nolan

118-125
- PDF
Conformal Uncertainty-Aware Physics-Informed Neural Networks for Reliable Electromagnetic Field Prediction in VLSI Interconnects

Sofia Duarte, Benjamin Hart

126-132
- PDF
Conformal-AEDL: Uncertainty-Calibrated Neuro-Symbolic Multiagent Causal Inference for Non-Stationary Time Series

Elena Rossi, Lars Johansen

133-140
- PDF

Vol. 2 No. 2 (2026)

Articles

Artificial Intelligence in Instrumentation: A Balanced Analysis of Potential Benefits and Risks

Research on a Dynamic Behavior Analysis Framework Based on Random Forest and Markov Chain

Study on Abnormal Vibration Cause and Blade Damage Fractal of Induced Draft Fan Burning Low-quality Coal

Cross-Domain Classification for Hyperspectral Imagery: A Comprehensive Review of Domain Adaptation, Domain Generalization, and Multimodal Approaches

Physics-Based Data Generation with SVR Surrogate Modeling for PDMS Thin Film Emissivity Prediction

DFPSE: Diagnostic-Feature-Preserving Signal Enhancement for Robust Bearing Fault Diagnosis under Compound Noise

Additive Tree Latent Variable Models for Insurance Loss Prediction

Toward 6G-Empowered Multi-Machine Collaboration in Smart Agriculture: A Communication-Control Co-Design Survey

Bayesian Inverse Sampling and Shapley-Driven Calibration for Dual-Channel Preference Aggregation

Passive Shading Optimization for Buildings Based on Differential Evolution and Non-Dominated Sorting Multi-Objective Evolutionary Algorithm

Numerical Simulation of Alpha Particle Scattering Based on the Symplectic Euler and Heun Methods

A Multi-Source Monitoring Data Fusion and Early Warning Framework Based on LightGBM-SHAP and Weibull Distribution

Research Progress on Multi-Hazard Disaster Mechanisms, Monitoring, Early Warning and Control in Underground Engineering

TalentFlow: Explainable Internal Talent Mobility Prediction Using Graph Representation Learning

ConformalSafe-Routing: Uncertainty-Aware Safe Deep Reinforcement Learning for Adaptive Routing Convergence

Conformal Uncertainty-Aware Physics-Informed Neural Networks for Reliable Electromagnetic Field Prediction in VLSI Interconnects

Conformal-AEDL: Uncertainty-Calibrated Neuro-Symbolic Multiagent Causal Inference for Non-Stationary Time Series

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