نتایج جستجو برای: cascade

تعداد نتایج: 44622  

Journal: :Chem 2022

Diaryliodonium salts are versatile arylating agents but generally feature poor atom economy. In this issue of Chem, Olofsson and co-workers describe a novel chemoselective SNAr reaction that sets up second in situ arylation incorporates the iodoarene component cascade with excellent The N- O-based functionalities, producing diarylamine ether structures essential to many biologically active mole...

Journal: :iranian journal of hydrogen and fuel cell 0
ebrahim alizadeh malek ashtar university of technology, fuel cell technology research laboratory majid khorshidian malek ashtar university of technology, fuel cell technology research laboratory seyed majid rahgoshay malek ashtar university of technology, fuel cell technology research laboratory seyed hossein masrori saadat malek ashtar university of technology, fuel cell technology research laboratory mazaher rahimi-esbo malek ashtar university of technology, fuel cell technology research laboratory

electrochemical impedance spectroscopy (eis) is a suitable and powerful diagnostic testing method for fuel cells (fcs) since it is non-destructive and provides useful information about fc performance and its components. in this study, for the first time, a 500w cascade type 4 cells stack with integrated humidifier, water separator and internal manifolds was designed, fabricated and tested. the ...

Journal: :IEEE Transactions on Neural Networks and Learning Systems 2018

Journal: :Netherlands Heart Journal 2013

2014
Wei Wang Clark W. Barrett Thomas Wies

Cascade is a program static analysis tool developed at New York University. Cascade takes as input a program and a control file. The control file specifies one or more assertions to be checked together with restrictions on program behaviors. The tool generates verification conditions for the specified assertions and checks them using an SMT solver which either produces a proof or gives a concre...

2005
Laurent Candillier Isabelle Tellier Fabien Torre Olivier Bousquet

In fact, what we want to evaluate is how well a given clustering algorithm is able to capture interesting, meaningful and usable information. Meaningful information in that case correspond to a new knowledge that is interesting to use for some purpose. We also expect the algorithm to be able to capture such interesting information on various types of datasets. Based on these considerations, we ...

A. Boór, K. Bélafi-Bakó N. Nemestóthy

Fresh juices of colourful wild berries: cornelian cherry, blackthorn, white beam and elderberry are considered as valuable, highly nutritive beverages and characterized by the high level of vitamins and antioxidant capacity. The concentration process of these juices by membrane osmotic distillation was studied, where only water vapour is eliminated, while the heat sensitive, valuable compounds ...

Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system that inflammation, demyelination, oligodendrocyte loss, gliosis, axonal injury and neurodegeneration are the main histopathological hallmarks of the disease. Although MS was classically thought as a demyelinating disease, but axonal injury occurs commonly in acute inflammatory lesions. In MS mi...

Amirhossein Amiri Babak Abbasi Erfaneh Nikzad

The manufacturing operations often involve multistage processes where the process capability of each stage is affected by the process capability of its precedent processes. This property is known as the cascade property. The purpose of this paper is to estimate the process capability of the second stage of two-stage process while the cascade property impact is removed using residuals analysis. ...

2005
Nicolás García-Pedrajas Domingo Ortiz-Boyer Rafael del Castillo Gomariz César Hervás-Martínez

Neural network ensembles are widely use for classification and regression problems as an alternative to the use of isolated networks. In many applications, ensembles has proven a performance above the performance of just one network. In this paper we present a new approach to neural network ensembles that we call “cascade ensembles”. The approach is based on two ideas: (i) the ensemble is creat...

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