Results 81 to 90 of about 85,755 (194)

Data-free parameter pruning for Deep Neural Networks

, 2015
Deep Neural nets (NNs) with millions of parameters are at the heart of many state-of-the-art computer vision systems today. However, recent works have shown that much smaller models can achieve similar levels of performance.
Babu, R. Venkatesh, Srinivas, Suraj
core   +1 more source

An evaluation of the metabolic syndrome in a large multi-ethnic study: the Family Blood Pressure Program

Nutrition & Metabolism, 2005
Background The Family Blood Pressure Program is an ongoing, NHLBI-sponsored, multi-center program to study the genetic determinants of high blood pressure.
Quertermous Thomas, Hsiung Chao, Turner Stephen T, Mosley Thomas H, Weder Alan B, Rao DC, Kraja Aldi T, Cooper Richard, Curb J David, Province Michael A   +9 more
doaj   +1 more source

Information Security as Strategic (In)effectivity

, 2016
Security of information flow is commonly understood as preventing any information leakage, regardless of how grave or harmless consequences the leakage can have.
A Fielder, A Fujioka, A Pierro Di, AS Dimovski, AW Roscoe, C Hankin, D Chaum, G Smith, JA Robinson, R McNaughton, R Meyden, W Jamroga   +11 more
core   +1 more source

QOS PARAMETERS FOR OBS NETWORK

International Journal of Research in Engineering and Technology, 2014
In optical circuit switching the high values of blocking probability is resolved by dynamic wavelength routing algorithms with wavelength conversion. The aim of this paper is to study these algorithms. Then the algorithm is selected which gives good results with and without wavelength conversion.
openaire   +1 more source

How to Enhance the Efficiency of Loss-Less Optical Burst Switching Networks with the Streamline Effect

Advances in Electrical and Electronic Engineering, 2015
With the ongoing steady traffic increase in the Internet, the wavelength usage of the supporting optical networks is a critical network efficiency parameter.
Milos Kozak, Brigitte Jaumarad, Leos Bohac   +2 more
doaj   +1 more source

Measurement and Simulation for Improving Indoor Wireless Communication System Performance at 2.4 GHz by Modifying the Environment

IEEE Access
Interest is rising in improving efficiency and productivity by increasing the received signal power, which is driven by the proliferation of wireless local area networks and the increasing use of portable computing devices such as laptops and PDAs ...
Nidal Qasem
doaj   +1 more source

A NOVEL HYBRID SCHEME FOR CONTENTION MINIMIZATION IN OPTICAL BURST SWITCHED NETWORK [PDF]

ICTACT Journal on Communication Technology, 2015
In Optical Burst Switched (OBS) Networks, data is transported in a bufferless network and hence there is fair amount of possibility of contention among the data bursts. This occurs when multiple bursts contend for the same link.
Dilip H. Patel, Kiritkumar Bhatt, Jaymin Bhalani   +2 more
doaj  

Applying distance sampling to estimate densities of fin whale calls recorded by ocean bottom seismometers in the Marianas region

Endangered Species Research
Ocean bottom seismometers (OBSs) are opportunistic instruments that can be used for passive acoustic monitoring of fin whales. To estimate animal population densities from acoustic data using distance sampling, a standard density estimation method, it is
R Hilmo, D Harris, WSD Wilcock
doaj   +1 more source

PickBlue: Seismic Phase Picking for Ocean Bottom Seismometers With Deep Learning

Earth and Space Science
Detecting phase arrivals and pinpointing the arrival times of seismic phases in seismograms is crucial for many seismological analysis workflows. For land station data, machine learning methods have already found widespread adoption.
T. Bornstein, D. Lange, J. Münchmeyer, J. Woollam, A. Rietbrock, G. Barcheck, I. Grevemeyer, F. Tilmann   +7 more
doaj   +1 more source

Efficiency and Sensitivity Analysis of Observation Networks for Atmospheric Inverse Modelling with Emissions

, 2015
The controllability of advection-diffusion systems, subject to uncertain initial values and emission rates, is estimated, given sparse and error affected observations of prognostic state variables.
Elbern, Hendrik, Jacob, Birgit, Wu, Xueran   +2 more
core