Results 231 to 240 of about 56,790 (283)

Efficient optimisation of physical reservoir computers using only a delayed input. [PDF]

Commun Eng
Picco E, Jaurigue L, Lüdge K, Massar S.
europepmc   +1 more source

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

British Journal of Clinical Pharmacology, EarlyView.
Christina Gao, Ashley M. Hopkins, Andrew Rowland, Stephen Bacchi   +3 more
wiley   +1 more source

Epidemiological trends of hepatitis C incidence and death in Mainland China between 2004 and 2018 and its predictions to 2030. [PDF]

BMC Infect Dis
Tian G, Zheng Y, He Y, Chen C, Zhang X, Du Y, Yang S, Jiang T, Li L.   +8 more
europepmc   +1 more source

Towards building multilingual language model for medicine. [PDF]

Nat Commun
Qiu P, Wu C, Zhang X, Lin W, Wang H, Zhang Y, Wang Y, Xie W.   +7 more
europepmc   +1 more source

Multiple myeloma in adolescents and young adults(AYA): global epidemiological trends, risk factors, and future projections (1990-2040). [PDF]

Cancer Causes Control
Kundu R, Mukhopadhyay A, Sarkar N, Kal N, Pal TS, Soni K, Mukherjee S.   +6 more
europepmc   +1 more source

Dynamic relationships between psychological capital and adaptation in new military recruits: a longitudinal cross-lagged panel network analysis. [PDF]

Front Psychiatry
Zhang Q, Xu C, Li M.
europepmc   +1 more source

The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations.

Interact J Med Res
Roustan D, Bastardot F.
europepmc   +1 more source

Bayesian generalized method of moments applied to pseudo-observations in survival analysis. [PDF]

Lifetime Data Anal
Orsini L, Brard C, Lesaffre E, Yin G, Dejardin D, Le Teuff G.   +5 more
europepmc   +1 more source

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Auto-Regressive Processes Explained by Self-Organized Maps. Application to the Detection of Abnormal Behavior in Industrial Processes

IEEE Transactions on Neural Networks, 2011
This paper analyzes the expected time evolution of an auto-regressive (AR) process using self-organized maps (SOM). It investigates how a SOM captures the time information given by the AR input process and how the transitions from one neuron to another one can be understood under a probabilistic perspective. In particular, regions of the map into which
Brighenti, Chiara, Sanz Bobi, Miguel Ángel   +1 more
openaire   +5 more sources

Tracking an Auto-Regressive Process with Limited Communication

2020 IEEE International Symposium on Information Theory (ISIT), 2020
Samples from a high-dimensional AR[1] process are quantized and sent over a time-slotted communication channel of finite capacity. The receiver seeks to form an estimate of the process in real-time. We consider the slow-sampling regime where multiple communication slots occur between two sampling instants.
Rooji Jinan, Parimal Parag, Himanshu Tyagi   +2 more
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