Results 241 to 250 of about 5,408,588 (346)

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization. [PDF]

J Nucl Med
Dexl J, Gatidis S, Früh M, Jeblick K, Mittermeier A, Stüber AT, Schachtner B, Topalis J, Fabritius MP, Gu S, Murugesan GK, VanOss J, Ye J, He J, Alloula A, Papież BW, Mesbah Z, Modzelewski R, Hadlich M, Marinov Z, Stiefelhagen R, Isensee F, Maier-Hein KH, Galdran A, Nikolaou K, la Fougère C, Kim M, Kallenberg N, Kleesiek J, Herrmann K, Werner R, Ingrisch M, Cyran CC, Küstner T.   +33 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

Diagnostic accuracy of artificial intelligence in detection of ovarian cancer-a pilot study. [PDF]

Front Med (Lausanne)
Banerjee D, Sharma A, Dhamija E, Qazi S, Mathur SR, Bhatla N.   +5 more
europepmc   +1 more source

Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability

Advanced Engineering Materials, EarlyView.
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner, Geo Jacob, Florian Raddatz, Gerko Wende   +3 more
wiley   +1 more source

HaploThread: a scalable desktop tool for efficient haplotype network inference and interactive visualization. [PDF]

Mol Biol Evol
Xu B, Li L, Li C, Wang A, Fan Z, Song S.
europepmc   +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

Performance evaluation of GPU-based parallel sorting algorithms. [PDF]

PLoS One
Ala'anzy MA, Tolendi N, Baubek B, Algarni A.   +3 more
europepmc   +1 more source

Experimental evaluation of explicit and symbolic automata-theoretic algorithms

, 2006
Deian Tabakov
openalex   +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