Results 61 to 70 of about 235,966 (268)
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
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 +9 more
wiley +1 more source
As one of the signed variants of the diffusion least mean square (DLMS) algorithm over networks, the diffusion sign error algorithm has been presented in previous reference. In this paper, we propose two novel signed variants of the DLMS algorithm, i.e.,
Wenyuan Wang, Haiquan Zhao
doaj +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
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 +3 more
wiley +1 more source
A New Angle-Calibration Method for Precise Ultra-Short Baseline Underwater Positioning
Ultra-short baseline (USBL) underwater positioning systems are widely used in marine scientific research and ocean engineering. Angle misalignment is a main error that reduces the accuracy of USBL underwater positioning.
Zhen Sun +4 more
doaj +1 more source
The Impact of Systemic Risk on the Diversification Benefits of a Risk Portfolio
Risk diversification is the basis of insurance and investment. It is thus crucial to study the effects that could limit it. One of them is the existence of systemic risk that affects all of the policies at the same time. We introduce here a probabilistic
Marc Busse +2 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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 +2 more
wiley +1 more source
ECONOMIC AND FINANCIAL PERFORMANCE OF REPRESENTATIVE SMALL SCALE DAIRY PRODUCTION UNITS TO 2027
Background: Small-scale dairy systems are vital in rural communities and strategic for livelihoods an economic development. Objective: To estimate the economic and financial viability of small-scale dairy Representative Production Units (RPU) in the high
Vianey González-Hernández +5 more
doaj +1 more source
Assessment of Different Stochastic Models for Inter-System Bias between GPS and BDS
Inter-system bias (ISB) will affect accuracy and processing time in integrated precise point positioning (PPP), and ISB stochastic models will largely determine the quality of ISB estimation.
Nan Jiang +4 more
doaj +1 more source
Stochastic Complexity and Modeling
While this paper may be regarded in a sense as a continuation of the program begun by Fisher on ''information'', the author's view is that models should not (nay, cannot) be restricted to have a fixed number of parameters: Fisher's information is thus inapplicable, and complexity and information must be considered directly in the observed data.
openaire +2 more sources
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 +8 more
wiley +1 more source

