Results 1 to 10 of about 232,568 (285)
VSS-LMS: LMS Algorithm Experimental Approach
Optimizing the error between the estimated signal and expected signal is the major goal of a filtering algorithm and the Least Mean Square (LMS) is a well-known adaptive filtering algorithm which plays a significant role in achieving this aim. Nonetheless, the LMS algorithm is usually characterised with low convergence speed in respect to the minimum ...
M. O. Momoh +5 more
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The organisation of the genome in nuclear space is an important frontier of biology. Chromosome conformation capture methods such as Hi-C and Micro-C produce genome-wide chromatin contact maps that provide rich data containing quantitative and ...
Ediem Al-jibury +6 more
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The unprecedented events that worldwide population experienced during year 2020 due to the COVID-19 pandemic, resulted in the formation of numerous challenges across the majority of aspects of every day life.
Panagiotis Stavropoulos +3 more
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An extended generalized effective stress for active clays [PDF]
An effective stress concept for active clays is formulated to improve the modelling of these materials under a variety of environmental conditions.
Tuttolomondo Angelica +2 more
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The potential of underground $$\hbox {CO}_2$$ CO 2 storage relies on the sealing efficiency of an overlaying caprock that acts as a geological barrier.
Eleni Stavropoulou, Lyesse Laloui
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Quantifying transport into the lowermost stratosphere using simultaneous in-situ measurements of SF6 and CO2 [PDF]
The seasonality of transport and mixing of air into the lowermost stratosphere (LMS) is studied using distributions of mean age of air and a~mass balance approach, based on in-situ observations of SF6 and CO2 during the SPURT (Spurenstofftransport in der
Birner, Thomas +4 more
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With the long-term goal of finding therapeutic options for Duchenne muscular dystrophy, a mouse model enabling simultaneous visualisation of Dmd and Utrn is described and inhibitors of PRC2 and ERK1/2 identified to increase utrophin expression.
Hannah J. Gleneadie +10 more
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Springback Prediction of Sandwich Panel Using Machine Learning Methods [PDF]
The purpose of this paper is to obtain a model that quickly predicts springback in the three-point bending process of steel / PUR / steel sandwich panels. Firstly, based on the finite element simulation, the springback behavior for different punch radius,
Raja Ouled Ahmed Ben Ali, Sami Chatti
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Adaptive Array Beamforming Using a Combined LMS-LMS Algorithm [PDF]
A new adaptive algorithm, called least mean square- least mean square (LLMS) algorithm, which employs an array image factor, , sandwiched in between two least mean square (LMS) algorithm sections, is proposed for different applications of array beamforming. It can operate with either prescribed or adaptive .
Srar, Jalal +2 more
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Development of an Electrochemical Battery Model and Its Parameters Identification Tool
This paper describes the steps performed in the development of a lumped model of electrochemical battery, as well as its corresponding parameter identification assistant tool and the first results obtained.
Hafsaoui Julien +3 more
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