Results 161 to 170 of about 5,119,744 (306)

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, Marco Zaffalon   +3 more
wiley   +1 more source

Performance of Two AI Approaches in ASReview Compared With Manual Screening for Dementia Care Literature Screening: Comparative Analysis. [PDF]

JMIR Form Res
Steijger D, Thissen S, Aarts S, Verbeek H, de Vugt ME, Christie H.   +5 more
europepmc   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

A Bayesian Optimal Adaptive Clinical Trial Design for Sequentially Integrated Therapies. [PDF]

Stat Med
Li Y, Guo J, Gawrieh S, Shen W, Zang Y, Tu W.   +5 more
europepmc   +1 more source

On randomized stopping times

, 1990
In this note we give a proof of the fact that the extremal elements of the set of randomized stopping times are exactly the stopping ...
Arenas Solá, Concepción
core  

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

Deep learning-based generation of direct stopping power ratio maps for MR-only proton therapy of primary brain tumor patients. [PDF]

Phys Imaging Radiat Oncol
Alvarez-Michael E, Peters N, Schwengfelder J, Zachow D, Raschke F, Löck S, Richter C, Apolle R, Lebbink F, Troost EGC.   +9 more
europepmc   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Enhanced lung cancer detection using BiLSTM attention and transformer models on clinical text data. [PDF]

Sci Rep
Sankar BS, Natarajasivan D, Reddy MP.
europepmc   +1 more source

The Stopping Set Property and the Iterative Decoding Performance of Binary Block Codes on BSC and AWGN Channel

, 2011
In the field of Error Correcting Coding (ECC), the concept of ''stopping set'' recently became a hot topic. A stopping set for a parity-check matrix is the set of bits which would cause the iterative decoding progress in Binary Erasure Channel (BEC) to ''
Zhijie, R. (author)
core