Modeling Strain Hardening of Metallic Materials with Sigmoidal Function Considering Temperature and Strain Rate Effects. [PDF]
Materials (Basel)Pan B +3 more
europepmc +1 more source
Mission‐Aligned Learning‐Informed Control of Autonomous Systems: Formulation and Foundations
Expert Systems, Volume 43, Issue 11, November 2026.ABSTRACT Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots, unmanned aerial vehicles, embedded control devices, and a number of other realizations of cybernetic/mechatronic implementations of intelligent autonomous devices.
Vyacheslav Kungurtsev +7 more
wiley +1 more source
A Note on Local Polynomial Regression for Time Series in Banach Spaces
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1124-1138, November 2026.ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
<i>CURATE</i>: Scaling-Up Differentially Private Causal Graph Discovery. [PDF]
Entropy (Basel)Bhattacharjee P, Tandon R.
europepmc +1 more source
Robust Estimation and Inference for Time‐Varying Unconditional Volatility
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1139-1152, November 2026.ABSTRACT We derive a general and robust estimator of a large class of parametric specifications of time‐varying unconditional volatility of financial returns, both univariate and multivariate, and establish the Consistency and Asymptotic Normality (CAN) of the estimator.
Adam Lee +2 more
wiley +1 more source
Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement. [PDF]
Sensors (Basel)Koziel S +3 more
europepmc +1 more source
Machine‐Learning Models Trained on Genomic Summary Statistics Assess Extinction Risk and Recovery Potential of Bottlenecked Populations [PDF]
Evol ApplABSTRACT Forecasting extinction risk from genomic data is challenging because of interactions among environment, demography, and genomic erosion. Here, we use known outcomes from forward simulations as a proof‐of‐concept study to test whether machine‐learning (ML) models can discriminate relative extinction risk and recovery potential from genomic ...
Winder J +7 more
europepmc +2 more sources
Charting Cervical Spinal Cord Morphometry Across the Lifespan
Human Brain Mapping, Volume 47, Issue 15, October 15, 2026.From large multi‐site lifespan data, we segment C1–C7 and derive morphometric measures (area, diameters, shape). Normative centile charts summarize population trajectories across age and sex and provide a practical scoring framework to quantify where an individual lies relative to expected variation.
Kurt G. Schilling +79 more
wiley +1 more source
Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data. [PDF]
Biom JRuan K +2 more
europepmc +1 more source
A hybrid deep learning framework for automated treatment planning in cervical cancer radiotherapy
Journal of Applied Clinical Medical Physics, Volume 27, Issue 10, October 2026.Abstract Background Radiation therapy treatment planning is a time‐consuming trial‐and‐error process, and the plan quality is heavily dependent on planners' experiences, resulting in a strong demand for automated planning methods that can rapidly generate uniformly high‐quality plans. Purpose This study aimed to develop a hybrid automated deep learning‐
Haiyan Jiang +6 more
wiley +1 more source