نتایج جستجو برای: optimization of active

تعداد نتایج: 21221800  

Journal: :Coatings 2021

ITO/PEDOT:PSS/P3HT:PC60BM/Mg-Al organic solar cells (OSCs) were fabricated depending on optimization of Poly(3-hexylthiophene-2,5-diyl) (P3HT) and phenyl-C61-Butyric-Acid-Methyl Ester (PC60BM). The the active layer, P3HT:PC60BM, was carried out under different spin frequencies coating from 900 to 3000 rpm. post-production annealing temperature all prepared OSC studied 130 190 °C. holes transpor...

Journal: :تحقیقات مالی 0
سعید قدوسی کارشناس‎ارشد مدیریت مالی، دانشگاه تهران، تهران، ایران رضا تهرانی دانشیار مدیریت مالی، دانشکدۀ مدیریت دانشگاه تهران، تهران، ایران مهدی بشیری دانشیار مهندسی صنایع، دانشکدۀ فنی دانشگاه شاهد، تهران، ایران

the markowitz issue of optimization can’t be solved by precise mathematical methods such as second order schematization, when real world condition and limitations are considered. on the other hand, most managers prefer to manage a small portfolio of available assets in place of a huge portfolio. it can be analogized to cardinal constrains, that is, constrains related to minimum and maximum curr...

Journal: :Engineering Science and Technology, an International Journal 2019

Journal: :Image Analysis & Stereology 2022

As colonoscopy is the standard screening approach for colorectal polyps, and first step of correct classification efficient automatic diagnostics accurate detection segmentation existing it worth researching systematically, how databases are responding to two most influential variational methods, geodesic Chan–Vese active contour methods. Due quality variation databases, pre-processing steps ma...

2006
Frank Deinzer Christian Derichs Heinrich Niemann Joachim Denzler

In the past decades, most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition, that is selectively moving a sensor/camera around a considered object in order to acquire as much information about it as possible. In this paper we present an active object recognition approach that solves the pro...

2000
Frank Deinzer Joachim Denzler Heinrich Niemann

This paper deals with an aspect of active object recognition for improving the classification and localization results by choosing optimal next views at an object. The knowledge of “good” next views at an object is learned automatically and unsupervised from the results of the used classifier. For that purpose methods of reinforcement learning are used in combination with numerical optimization...

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