نتایج جستجو برای: annual report review

تعداد نتایج: 1740068  

2014
Donna L Berry Fangxin Hong Barbara Halpenny Anne Partridge Erica Fox Jesse R Fann Seth Wolpin William B Lober Upendra Parvathaneni Dagmar Amtmann Rosemary Ford Laura Ashley

Donna L Berry ([email protected]) Fangxin Hong ([email protected]) Barbara Halpenny ([email protected]) Anne Partridge ([email protected]) Erica Fox ([email protected]) Jesse R Fann ([email protected]) Seth Wolpin ([email protected]) William B Lober ([email protected]) Nigel Bush ([email protected]) Upendra Parvathaneni ([email protected]) Dagmar Amtmann (dagmar...

1999
S. Forsythe D. Batey X. Li C. Liu S. Ahmed

This research compared linear regression and artificial neural network models to identify the most accurate methods of predicting the impact of product cues on consumers’ apparel product evaluations and purchase intentions. The research process and findings are discussed below. Also, we examined the potential effectiveness of the Internet as a strategic tool to (a) build global brand images for...

2008
A. Manuzzato S. Gerardin A. Paccagnella L. Sterpone M. Violante

SRAM-based Field Programmable Gate Arrays (FPGAs) are an attractive solution for many applications where short time-to-market, low-cost for low-production volumes, and in-the-field-programming ability are important issues. One of the few major disadvantages of SRAM-based FPGAs is the sensitivity to ionizing radiation [1-3]. Indeed, also at sea level, neutrons, originating from the interactions ...

2005
F. Velardi F. Iannuzzo G. Busatto A. Porzio A. Sanseverino G. Currò A. Cascio F. Frisina

In this paper we brefly describe an experimental study of the role of the parasitic transistor on the charge generation phenomenon observed during the impact of heavy ions on medium voltage power MOSFET [1-5]. We observed that new generation power MOSFETs reveal, during single event impact, a premature damage of the gate structure before a typical burnout occurrence. The damage is related to th...

2012
Eero Vuorio Sanna Leinonen Tero Ahola Sarah Butcher Jari Korhonen

2014
Carnegie Mellon

Botnet size is often reported as a number of IP addresses, but the link between IP addresses and infected machines is more complicated than a simple one-to-one relationship. To count the number of infected machines when we have only an aggregated view of a botnet, we suggest building a precise probability model of the observable behavior of a single machine, and applying that model to the aggre...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید