Results 141 to 150 of about 167,787 (204)

Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice. [PDF]

Commun Med (Lond)
Kopka M, He L, Feufel MA.
europepmc   +1 more source

Advanced channel estimation in OTFS and NOMA using deep bayesian gaussian processes and compressive sensing. [PDF]

Sci Rep
Anilkumar N, Sengan S.
europepmc   +1 more source

Benchmarking large language models for question answering on German clinical practice guidelines. [PDF]

BMJ Health Care Inform
Schwietering J, Lichtner G.
europepmc   +1 more source

MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language models. [PDF]

PLoS One
Kim BS, Kim B, Jang B.
europepmc   +1 more source

Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance. [PDF]

J Med Syst
Chen L, He R, Lu P, Jin Y, Zhou L, Li N, Wu P, Hu B.   +7 more
europepmc   +1 more source

Structured illumination microscopy for high SNR 3D imaging from millimeter-thick tissues to cellular dynamics. [PDF]

Innovation (Camb)
Wang M, Shu M, Yan J, Liu C, Fu X, Zhang J, Lin Y, Zhao H, Huang Y, Ma D, Ge Y, Hao H, Zhao T, Liang Y, Wang S, Lei M.   +15 more
europepmc   +1 more source

Information-set decoding for convolutional codes. [PDF]

Des Codes Cryptogr
Gassner N, Lieb J, Mazumder A, Schaller M.   +3 more
europepmc   +1 more source

Information Extraction from Clinical Texts with Generative Pre-trained Transformer Models. [PDF]

Int J Med Sci
Kim MS, Chung P, Aghaeepour N, Kim N.
europepmc   +1 more source

An Implantable Digital Bridge Enables Arm And Hand Movements After Tetraplegia

Courtine G, Collin T, Yu B, Sakr I, Charpak SDH, Spagnolo V, COQUOZ L, Bruel A, Dumont G, Carparelli G, de Carvalho P, Ciotti F, ROUANNE V, Forero P, Schornstein B, PICEK M, DAHAN S, Hankov N, QIN Y, TANG R, AVERY M, Mohaouchane H, Ruggaber O, Shaw M, Intering N, Hervé J, Deschenaux C, HAXAIRE C, Datwyler S, Mathieu M, Iosipoi L, Bakhteev O, Sun G, Zhou T, Ordonez J, Newton T, Kuster N, Ledoux J, Becce F, Fornari E, Landelle C, Doyon J, Kavounoudias A, Burri M, Merlos F, Styles J, Simondin M, Sasportes C, Harte C, Schlienger R, Demesmaeker R, Heimgartner R, Squair J, Aureli V, Carda S, Trierweiler E, Nikolaeva A, Feysot L, Asboth L, Dedelley J, D'Ercole M, Delattre V, Bessot P, Jacquet C, Watrin A, Dumeny Y, Martel F, Bosquet M, Karakas S, Juliard V, Favre O, Etaix Y, Goujon C, Faure E, Descharles M, Sauter-Starace F, Souriau R, Aksenova T, Ijspeert AJ, Konukoglu E, Neufeld E, De Ville DV, Obozinski G, Charvet G, Bloch J, Lorach H, Toye I, Hinkle M.   +87 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

On list sequence turbo decoding

IEEE Transactions on Communications, 2005
An algorithm for decoding Turbo codes that combines conventional Turbo decoding and list sequence maximum a posteriori probability decoding is presented and evaluated. Compared to previous results on this theme, performance improvements in the order of 0.7 dB are obtained for Turbo codes with 514-b pseudorandom interleaving at a frame error rate of 10 ...
C -E W Sundberg
exaly   +2 more sources