Results 171 to 180 of about 42,360 (298)

The Firefighter problem with dynamic defence costs. [PDF]

PLoS One
Hunter E, Enright J.
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Assessing spatial disparities: a Bayesian linear regression approach. [PDF]

Biostatistics
Wu K, Banerjee S.
europepmc   +1 more source

Minimizing Movement: Fixed-Parameter Tractability [PDF]

, 2012
Erik D. Demaine, MohammadTaghi Hajiaghayi, Dániel Marx   +2 more
openalex   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

Angewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco, Gaia Meoni, Veronica Ghini, Alessia Vignoli, Leonardo Tenori, Paola Turano, Claudio Luchinat   +6 more
wiley   +2 more sources

The development and implementation of odd-exponential-ailamujia distribution in python: properties and application in reliability engineering. [PDF]

Sci Rep
Alballa T, Ramzan Q, Amin M, Almutairi M, El-Wahed Khalifa HA.   +4 more
europepmc   +1 more source

Homogeneous Network Caching is Fixed-Parameter Tractable Parameterized by the Number of Caches

József Pintér, Regina Stangl
openalex   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Environment-Dependent Downlink Pinching-Antenna Systems: Spectral-Energy Efficiency Tradeoffs and Design. [PDF]

Sensors (Basel)
Zha X, Chen Y, Wang Q.
europepmc   +1 more source