Results 171 to 180 of about 156,275 (208)

Large Language Models lack essential metacognition for reliable medical reasoning. [PDF]

Nat Commun
Griot M, Hemptinne C, Vanderdonckt J, Yuksel D.   +3 more
europepmc   +1 more source

Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology.

JAMA Ophthalmol
Luo MJ, Pang J, Bi S, Lai Y, Zhao J, Shang Y, Cui T, Yang Y, Lin Z, Zhao L, Wu X, Lin D, Chen J, Lin H.   +13 more
europepmc   +1 more source

DrugAssist: a large language model for molecule optimization. [PDF]

Brief Bioinform
Ye G, Cai X, Lai H, Wang X, Huang J, Wang L, Liu W, Zeng X.   +7 more
europepmc   +1 more source

Real Customization or Just Marketing: Are Customized Versions of Generative AI Useful? [PDF]

F1000Res
Garrido-Merchán EC, Arroyo-Barrigüete JL, Borrás-Pala F, Escobar-Torres L, Martínez de Ibarreta C, Ortíz-Lozano JM, Rua-Vieites A.   +6 more
europepmc   +1 more source

WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis. [PDF]

Sci Data
McNabb CB, Driver ID, Hyde V, Hughes G, Chandler HL, Thomas H, Allen C, Messaritaki E, Hodgetts CJ, Hedge C, Engel M, Standen SF, Morgan EL, Stylianopoulou E, Manolova S, Reed L, Ploszajski M, Drakesmith M, Germuska M, Shaw AD, Mueller L, Rossiter H, Davies-Jenkins CW, Lancaster T, Evans CJ, Owen D, Perry G, Kusmia S, Lambe E, Partridge AM, Cooper A, Hobden P, Lu H, Graham KS, Lawrence AD, Wise RG, Walters JTR, Sumner P, Singh KD, Jones DK.   +39 more
europepmc   +1 more source

Turbo Codes: The Issue of Average Union Upper Bound under Imperfect Channel State Information in Rayleigh Fading Channels

, 2005
Erhan A. İnce, Syed Amjad Ali
openalex  

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study.

J Med Internet Res
Trevena W, Zhong X, Alvarado M, Semenov A, Oktay A, Devlin D, Gohil AY, Chittimouju SH.   +7 more
europepmc   +1 more source

On multiple slice turbo codes [PDF]

Annales Des Télécommunications, 2005
The main problem with the hardware implementation of turbo codes is the lack of parallelism in the MAP-based decoding algorithm. This paper proposes to overcome this problem by using a new family of turbo codes called Multiple Slice Turbo Codes. This family is based on two ideas: the encoding of each dimension with P independent tail-biting codes and a
Gnaedig, David, Boutillon, Emmanuel, Jezequel, Michel, Gaudet, Vincent,, Glenn Gulak, P.   +4 more
openaire   +4 more sources

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Nonsystematic Turbo Codes

IEEE Transactions on Communications, 2005
In this paper, we introduce the concept of nonsystematic turbo codes and compare them with classical systematic turbo codes. Nonsystematic turbo codes can achieve lower error floors than systematic turbo codes because of their superior effective free distance properties.
Banerjee A., Vatta F., Scanavino B., Costello Jr. D. J.   +3 more
openaire   +3 more sources