Results 41 to 50 of about 11,593 (227)

Extended Minimal Atomicity through Nondifferentiability: A Mathematical-Physical Approach

Advances in Mathematical Physics, 2019
The mathematical concept of minimal atomicity is extended to fractal minimal atomicity, based on the nondifferentiability of the motion curves of physical system entities on a fractal manifold.
Gabriel Gavriluţ, Alina Gavriluţ, Maricel Agop   +2 more
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

First-principles prediction of shock Hugoniot curves of boron, aluminum, and silicon from stochastic density functional theory

Matter and Radiation at Extremes
By adopting stochastic density functional theory (SDFT) and mixed stochastic–deterministic density functional theory (MDFT) methods, we perform first-principles calculations to predict the shock Hugoniot curves of boron (pressure P = 7.9 × 103–1.6 × 106 ...
Tao Chen, Qianrui Liu, Chang Gao, Mohan Chen   +3 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Calculation of the extended probabilistic box of static voltage stability margin for a hybrid AC-DC power grid with renewables

International Journal of Electrical Power & Energy Systems
High-order uncertainties arise in the cumulative distribution function parameters of wind speed and solar irradiance due to data gaps and statistical errors in renewable energy stations (RESs).
Yunfeng Zhang, Shunjiang Lin, Wenfeng Yao, Yuerong Yang, Xuan Sheng, Mingbo Liu   +5 more
doaj   +1 more source

Extending the Martingale Measure Stochastic Integral With Applications to Spatially Homogeneous S.P.D.E.'s

Electronic Journal of Probability, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

H∞ Observer-Based Delay-Dependent Control of LPV Stochastic Systems via a Novel Reciprocal Convex Inequality

IEEE Access
This paper discusses an $H_{\infty }$ control problem as observer-based delay-dependent stability of time-varying stochastic systems represented by Linear Parameter Varying (LPV) description.
Cheung-Chieh Ku, Guan-Wei Chen, Wen-Jer Chang   +2 more
doaj   +1 more source