Industry research List Page 297

Industry research list

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Abstract Downloaded：0: research work done on the humanoid robots
Update : 2025-01-15 Size : 6kb Publisher : muhammad azam
FIRST-and-FOLLOW-sets Downloaded：0: it is a lecture on the first and follow set
Update : 2025-01-15 Size : 5kb Publisher : muhammad azam
Relate Downloaded：0: based on research work done on the litrature riview
Update : 2025-01-15 Size : 5kb Publisher : muhammad azam
QCM_IMeche Downloaded：0: An investigation into the use of neural networks for the semi-active control of a magnetorheologically damped vehicle suspension
Update : 2025-01-15 Size : 402kb Publisher : hassan metered
NN_MSSP Downloaded：0: The experimental identification of magnetorheological dampers and evaluation of their controllers
Update : 2025-01-15 Size : 749kb Publisher : hassan metered
Application-Chebyshev_SAE_Passenger_car Downloaded：0: Application of Nonparametric Magnetorheological Damper Model in Vehicle Semi-active Suspension System
Update : 2025-01-15 Size : 4.33mb Publisher : hassan metered
Chebyshev_SAE_Passenger_car Downloaded：0: Nonparametric Identification Modeling of Magnetorheological Damper using Chebyshev Polynomials Fits
Update : 2025-01-15 Size : 2.55mb Publisher : hassan metered
ASME-Paper Downloaded：0: VIBRATION CONTROL OF A SEAT SUSPENSION SYSTEM USING MAGNETORHEOLOGICAL DAMPER
Update : 2025-01-15 Size : 195kb Publisher : hassan metered
distributedtar-eusipco-2008 Downloaded：0: We propose an approximation framework for distributed target localization in sensor networks. We represent the unknown target positions on a location grid as a sparse vector, whose support encodes the multiple target loc
Update : 2025-01-15 Size : 1.03mb Publisher : saeede abbasi
infocom11-cheng Downloaded：0: In this paper, we propose a novel compressive sensing (CS) based approach for sparse target counting and positioning in wireless sensor networks. While this is not the first work on applying CS to count and localize targ
Update : 2025-01-15 Size : 184kb Publisher : saeede abbasi
URSI_GASS_2011_short Downloaded：0: Compressed sensing, a method which relies on sparsity to reconstruct signals with relatively few measurements, has the potential to greatly improve observation of distributed radar targets. We extend the theoretical work
Update : 2025-01-15 Size : 171kb Publisher : saeede abbasi
Optimizing-Spatial-Filters-for-Robust-EEG-Single- Downloaded：0: ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve th
Update : 2025-01-15 Size : 1.19mb Publisher : fariba

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