نتایج جستجو برای: linear discernment analysis

تعداد نتایج: 3162141  

2010
S. Ben Chaabane M. Sayadi F. Fnaiech E. Brassart

In this paper we propose a new knowledge model using the Dempster-Shafer’s evidence theory for image segmentation and fusion. The proposed method is composed essentially of two steps. First, mass distributions in Dempster-Shafer theory are obtained from the membership degrees of each pixel covering the three image components (R, G and B). Each membership’s degree is determined by applying Fuzzy...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان 1390

seismic retrofit strategies have been developed in the past few decades following the introduction of new seismic provisions and the availability of advanced materials and methods. it can be observed that new approaches to deal with more lateral forces are more innovative and more energy absorbent. in line with this, there is a growing trend toward the use of steel shear walls as a system with ...

Journal: :journal of industrial engineering, international 2008
s saati

in models of data envelopment analysis (dea), an optimal set of input and output weights is generally as-sumed to represent the assessed decision making unit (dmu) in the best light in comparison to all the other dmus. these sets of weights are, typically, different for each of the participating dmus. thus, it is important to find a common set of weights (csw) across the set of dmus. in this pa...

Journal: :Applied Cognitive Psychology 2022

Psychological inoculation has proven effective at reducing susceptibility to misinformation. We present a novel storytelling approach against the conjunction fallacy (dmeta-analysis = 0.82), known cognitive predictor of conspiracy beliefs. In Study 1 (Pilot; N 161), narrative (vs. control) reduced errors, and in turn, beliefs regarding government malfeasance. 2 (main experiment; 141; pre-regist...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه قم - دانشکده فنی 1393

در این پایان نامه روشی برای تطبیق مدل زبانی ارائه شده است. این روش، برمبنای ترکیب الگوریتم کاهش بعد locally linear embedding و مدل زبانی n-gram عمل میکند. الگوریتم locally linear embedding در کاهش ابعاد ساختار داده اصلی را حفظ مینماید. لذا انتظار داریم ساختار کلی ماتریس سند-کلمه در این کاهش بعد دچار خدشه زیاد نگردد. الگوریتم ارائه شده، با استفاده از زبان c++ و بهره گیری از توابع موجود در ابزاره...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2018

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