Leakage-audited machine learning versus ETAS for earthquake forecasting in the Sea of Marmara

#artificial intelligence Review Oct 2026

HydroJEV: A one-second, training-free screen for cyber-attack and fault attribution in water distribution networks

When a SCADA alarm is raised in a water distribution network, operators must decide quickly whether it reflects a cyberattack, a physical fault, a normal transient or a faulty sensor. Supervised classifiers need labelled incidents that utilities rarely have, and frontier large language models (LLMs) take tens of second...

Tian-Wei Mu, Sheng-Yan Jiang, Ming-Zhe Yuan et al. · 0 citations

#artificial intelligence Review Aug 2026

Verifiable abstention makes AI leak diagnosis accountable in urban water distribution networks

A pressure-information limit is quantified and used to recast localization as selective, evidence-gated decision-making and Observability limits with machine-checkable abstention enable auditable utility intervention.

Tian-Wei Mu, Yue Wang, Ming-Zhe Yuan et al. · 0 citations

Conference Open access 2026

Automatic Earthquake Detection in High‑Noise Regions of North Aceh Using Deep Learning

The Lhokseumawe and Nisam segments of the Sumatran Fault cross North Aceh and generate shallow crustal earthquakes that threaten nearby communities and infrastructure. Monitoring this low-magnitude seismicity is difficult: most viable station sites lie close to roads, residential neighborhoods, or small industries, and...

Raden M. Yudi, W. Sandriadi, N. Fathir et al. · E3S Web of Conferences · 0 citations

Open access Aug 2026

Forecasting or Contemporaneous Estimation? A Leakage-Aware Industrial Energy Audit with Uncertainty Quantification

Short-term industrial energy forecasting supports load planning only when every predictor is available at forecast issuance. This study audits 15- and 60-minute forecasting with 35,040 real observations from a South Korean steel facility. We reconstruct a continuous 15-minute timeline, define a deployable 39-feature pr...

Esam Miftah Abdulnabi, Nabeel Faraj Amhimmid, Ashraf Faraj Saed Albarki et al. · Libyan Journal of Applied an... · 0 citations

Open access Sep 2026

Statistical Accuracy, Economic Value and Model Instability in ETF Return Forecasting: A Comparison Across Developed and Emerging Markets

Together, these results argue for evaluating financial forecasting models simultaneously on regression metrics, economic performance, and regime stability rather than on any single criterion.

E. Bastos, Roberto Ivo da Rocha Lima, L. Marujo · Mathematics · 0 citations

Preprint Sep 2026

ANADEF: A Nested-Permutation Alarm for Dual-Parameter Earthquake Forecasting

Spatially resolved stress proxies and rate-based seismicity models are increasingly combined for regional earthquake forecasting, yet formally testing their non-redundancy remains largely unaddressed. We present the Nested-Permutation Alarm for Dual-Parameter Earthquake Forecasting (ANADEF) pipeline, integrating a stre...

H. Mohammadigheymasi, Muhammed Hossein Mousavi, Nuno Pombo · 0 citations