Results 101 to 110 of about 2,460,018 (219)

Hardware-Aware Pruning for Efficient Inference on Embedded Devices

IEEE Access
With more powerful yet efficient embedded devices and accelerators being available for Deep Neural Networks (DNNs), machine learning is becoming an integral part of edge computing. In application scenarios with real-time requirements and multiple sensors
Martin Lechner, Axel Jantsch
doaj   +1 more source

MSE lower bounds for deterministic parameter estimation [PDF]

, 2010
This paper presents a simple approach for deriving computable lower bounds on the MSE of deterministic parameter estimators with a clear interpretation of the bounds.
Chaumette, Eric, Renaux, Alexandre, Larzabal, Pascal, Galy, Jerome, Quinlan, Angela, Vincent, François   +5 more
core  

SAGE-Based Prediction of IQ Imbalance in OFDMA AF-FDR Uplink Relaying Systems

IEEE Access
In orthogonal frequency division multiple access (OFDMA) systems, the in- and quadrature-phase imbalance (IQI) remains a critical impairment. Previous research has predominantly focused on non-cooperative settings, assuming that the modulation type is ...
Hala Mostafa, Mohamed Marey, Khaled Mohamad Almustafa   +2 more
doaj   +1 more source

Unsupervised Training of Deep Neural Networks for Motion Estimation [PDF]

, 2019
PhDThis thesis addresses the problem of motion estimation, that is, the estimation of a eld that describes how pixels move from a reference frame to a target frame, using Deep Neural Networks (DNNs).
Queen Mary University of London, Ahmadi, A   +1 more
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Ratio estimation of the mean under RRT models [PDF]

, 2016
Ratio estimation is a parameter estimation technique that uses a known auxiliary variable that is correlated with the study variable. In many situations, the primary variable of interest may be sensitive and it cannot be observed directly.
Zhang, Qi, NC DOCKS at The University of North Carolina at Greensboro   +1 more
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Parameter estimation of ODE’s via nonparametric estimators

Electronic Journal of Statistics, 2008
Published in at http://dx.doi.org/10.1214/07-EJS132 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire   +4 more sources

Magnitude estimation in humans [PDF]

, 2013
Anyone who has climbed a mountain before knows that the perceived distance walked depends on more than just its physical length. This intriguing relationship between physical and experienced magnitudes has fascinated researchers across various ...
Petzschner, Frederike Hermi
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New parameters estimation in an ordinary differential equation model for the multistep transformation of cancer cells using particle swarm optimization

Computational and Mathematical Biophysics
The research on cancer cells has proposed many hypotheses as a basic conceptual framework for understanding how normal cells transform into cancer cells. Cancer cells are assumed to undergo a multilevel mutation process from normal cells to cancer cells.
Kartono Agus, Lutfiah Lulu, Wahyudi Setyanto Tri, Tofany Novan, Subiyanto Subiyanto   +4 more
doaj   +1 more source

Application of combined spatial models for estimation of environmental impact by the power engineering objects of Islamic Republic of Iran

Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2016
The method of combined space modelling with GIS-technology using for the estimation of environmental effects of energy objects in project, build and work was proposed. The space models for Islamic Republic of Iran energy objects presented.
S. A. Laptyonok, A. . Mehdizadeh Muzhdehi, V. P. Bubnov   +2 more
doaj  

Software Project Duration Estimation Using Metrix Model [PDF]

This paper analyzes the existing types of duration estimation models for software projects and advances a new, user-friendly model for project duration estimation.
Marius VETRICI
core