Results 201 to 210 of about 40,312 (249)

Dynamic expectation strength and precision shape human pain perception through shared and dissociable α-oscillatory mechanisms. [PDF]

PLoS Biol
Li J, Chen S, Zhang L, Weng L, Lin X, Tu Y, Peng W.   +6 more
europepmc   +1 more source

Power Laws in Empirical Eigenvalue Spectra. [PDF]

Entropy (Basel)
Liu B, Chen YY, Li MS, Morgan VT, Abdelaleem E, Sederberg A.   +5 more
europepmc   +1 more source

Development of an artificial intelligence model to identify duodenal polyps in patients with familial adenomatous polyposis. [PDF]

IGIE
Schupack D, Sood S, Fetzer J, Shalini S, Arunachalam SP, League JB, Leggett C, Boardman L, Coelho-Prabhu N.   +8 more
europepmc   +1 more source

Brain activity as a candidate biomarker for personalised caffeine treatment in premature neonates. [PDF]

Front Pediatr
Usman F, Zandvoort CS, Robinson S, Peck M, Cobo MM, Adjei T, Baxter L, Fry RE, Hauck AGV, Rogers R, Mellado GS, Scrivens A, van der Vaart M, De Vos M, Adams E, van den Anker J, Hartley C.   +16 more
europepmc   +1 more source

Inherent Leakage of Hydrophobic Gating in BK Channels. [PDF]

PRX Life
Jia Z, Chen J.
europepmc   +1 more source

Particulate Matter concentration measurement in ambient air: analysis of filter material and recovery time variables for uncertainty assessment. [PDF]

Environ Monit Assess
Raso L, Rocca MRD, Belgiorno V, Naddeo V, Zarra T.   +4 more
europepmc   +1 more source

Individualised mapping of living human brain mitochondria by MRI reveals signatures of bioenergetic defects.

de Schotten MT, Liu C, Kelly C, Bo K, Wager T, Mosharov E, Picard M.   +6 more
europepmc   +1 more source

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Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter

IEEE Transactions on Signal Processing, 2007
The probability hypothesis density (PHD) recursion propagates the posterior intensity of the random finite set (RFS) of targets in time. The cardinalized PHD (CPHD) recursion is a generalization of the PHD recursion, which jointly propagates the posterior intensity and the posterior cardinality distribution.
Ba Tuong Võ, Ba-Ngu Võ, Antonio Cantoni   +2 more
exaly   +3 more sources

A Multiple-Detection Probability Hypothesis Density Filter

IEEE Transactions on Signal Processing, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu Tang, Ronald Mahler, Ratnasingham Tharmarasa   +2 more
exaly   +4 more sources

Multiple model spline probability hypothesis density filter

IEEE Transactions on Aerospace and Electronic Systems, 2016
The probability hypothesis density (PHD) filter is an efficient algorithm for multitarget tracking in the presence of nonlinearities and/or non-Gaussian noise. The sequential Monte Carlo (SMC) and Gaussian mixture (GM) techniques are commonly used to implement the PHD filter.
Bhashyam Balaji, Rajiv Sithiravel
exaly   +2 more sources