Results 141 to 150 of about 428,991 (272)

Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity

Arthritis Care &Research, EarlyView.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

AI-Enhanced POCUS in Emergency Care. [PDF]

Diagnostics (Basel)
Puticiu M, Cimpoesu D, Pop F, Ciumanghel I, Rotaru LT, Oprita B, Butoi MA, Belghiru VI, Tat RM, Golea A.   +9 more
europepmc   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Services for Connected, Cooperated, and Automated Mobility based on Big Data and Artificial Intelligence: The SHOW project paradigm. [PDF]

Open Res Eur
Spanos G, Siomos A, Schmidt C, Tygesen M, Salanova JM, Rodrigues F, Papadopoulos A, Antypas E, Sersemis A, Gkemou M, Lalas A, Votis K, Ayfantopoulou G, Bekiaris E, Tzovaras D.   +14 more
europepmc   +1 more source

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source

Pilot Study of AI-Assisted ANA Immunofluorescence Reading-Comparison with Classical Visual Interpretation. [PDF]

J Clin Med
Mayr S, Dollinger M, Ehrenstein B, Günther F, Krammer O, Schuster A, Büttner T, Hiemann R, Schierack P, Roggenbuck D, Fleck M.   +10 more
europepmc   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

Advancing a Hybrid Decision-Making Model in Anesthesiology: Applications of Artificial Intelligence in the Perioperative Setting. [PDF]

Healthcare (Basel)
Duarte-Medrano G, Nuño-Lámbarri N, Paternò DS, La Via L, Tutino S, Dominguez-Cherit G, Sorbello M.   +6 more
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

Dissecting novel object exploration in a fully automated homecage-based novel object recognition test. [PDF]

Cell Rep Methods
Ho H, Kejzar N, Burton S, Katsouri L, Krstulovic M, Arany ES, O'Keefe J, Bauza M, Krupic J.   +8 more
europepmc   +1 more source