Results 231 to 240 of about 2,599,225 (293)

Automated Hand Flexor Tendon Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, Accepted Article.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasound and measured manually, a time‐consuming process prone to inter‐observer variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Feasibility of retrieval-augmented generation for large language models with Japanese input in radiotherapy. [PDF]

J Radiat Res
Takahashi Y, Kadoya N, Arai K, Tanno H, Tanaka S, Katsuta Y, Hoshino T, Harada H, Omata S, Yamamoto T, Umezawa R, Yasui K, Hayashi N, Jingu K.   +13 more
europepmc   +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

PPFS-YOLO: Physics-Prior Frequency-Spatial Fusion for Robust Container Surface Damage Detection. [PDF]

Sensors (Basel)
Liu J, Gao F.
europepmc   +1 more source

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

Could statistical potential models achieve comparable or better performance than deep learning models? [PDF]

Brief Bioinform
Wang Z, Wang S, Guo J, Mu Y, Liu X, Zheng L, Li W.   +6 more
europepmc   +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

Revealing the Atomic Structure of Blue Phosphorus Phases on Au(111) with Noncontact Atomic Force Microscopy. [PDF]

ACS Nano
Chahib O, Verdini A, Li Z, Kara A, Del Puppo S, Peressi M, Meyer E, Pawlak R.   +7 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Experimental validation of Davis LUT module with photonic crystals for GATE simulations. [PDF]

Phys Med Biol
He X, Kratochwil N, Ariño-Estrada G, Jain V, Roncali E.   +4 more
europepmc   +1 more source