Results 211 to 220 of about 1,064,809 (273)

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

Speech Recognition and Noise Adaptation in Realistic Noises. [PDF]

Trends Hear
Marrufo-Pérez MI, Lopez-Poveda EA.
europepmc   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Imperfect Captions Paired to Audiovisual Stimuli Improve Speech Recognition but Do Not Reduce Listening-Related Fatigue. [PDF]

Am J Audiol
Esser K, Picou EM, Hornsby BWY.
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review. [PDF]

BMC Med Inform Decis Mak
Ng JJW, Wang E, Zhou X, Zhou KX, Goh CXL, Sim GZN, Tan HK, Goh SSN, Ng QX.   +8 more
europepmc   +1 more source

Speech Recognition Technology and Documentation Efficiency.

JAMA Netw Open
Shour AR, Anguzu R, Onitilo AA.
europepmc   +1 more source

Bridging language gaps: The role of NLP and speech recognition in oral english instruction. [PDF]

MethodsX
Dubey P, Dubey P, Raja R, Kshatri SS.
europepmc   +1 more source

Phoneme-Aware Hierarchical Augmentation and Semantic-Aware SpecAugment for Low-Resource Cantonese Speech Recognition. [PDF]

Sensors (Basel)
Zhang L, Wu S, Wang Z.
europepmc   +1 more source