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Modeling an Inventory-queueing System for a Producer-retailer System with a Special (r,Q) Inventory Control Policy and Exponential Leadtime
, M.Sc. Thesis Sharif University of Technology ; Mahlooji, Hashem (Supervisor)
Abstract
This thesis covers the problem of a 2-echolen inventory system including a producer and retailer. Producer makes each part and stores it in its own warehouse which is capable of holding as many as S parts. Time that takes for the producer to produce each part is described by an exponential distribution with a fixed rate. Retailer which has its own warehouse with capacity R sees customers arriving with a Poisson distribution. If either of retailer or producer is out of inventory, system does not accept new customers and it is a lost sale, otherwise the customer is served. Whenever retailer runs out of stock, it places an order of size R. producer then looks at its own inventory, if possible a...
Fabrication of Nano Sensor for Detecting H2S
, M.Sc. Thesis Sharif University of Technology ; Soltanieh, Mohammad (Supervisor) ; Rashidi, Alimorad (Supervisor) ; Izadi Yazdan Abadi, Nosrat (Co-Advisor)
Abstract
Due production and use of large amount of chemical and emissions of pollutants in air, detection and control of these compounds are necessary. One of the common methods to detect these pollutants in the ambient is using metal oxide semiconductor sensors. However, these types of sensors suffer from low selectivity toward a certain compound in the mixture of different gas components. In this study, the object was to investigate the effect of different amount of CNTs on performance of tin oxide to improve their selectivity for detection of 50 ppm of hydrogen sulfide at low temperature. To perform the study, nanoparticles of pure tin oxide and SnO2 base hybrids containing 0.25wt%, 0.5wt%, 2.5wt%...
Deep learning for detection of periapical radiolucent lesions: a systematic review and meta-analysis of diagnostic test accuracy
, Article Journal of Endodontics ; Volume 49, Issue 3 , 2023 , Pages 248-261.e3 ; 00992399 (ISSN) ; Mohammad Rahimi, H ; Motamedian, S. R ; Zahedrozegar, S ; Motie, P ; Vinayahalingam, S ; Dianat, O ; Nosrat, A ; Sharif University of Technology
Elsevier Inc
2023
Abstract
Introduction: The aim of this systematic review and meta-analysis was to investigate the overall accuracy of deep learning models in detecting periapical (PA) radiolucent lesions in dental radiographs, when compared to expert clinicians. Methods: Electronic databases of Medline (via PubMed), Embase (via Ovid), Scopus, Google Scholar, and arXiv were searched. Quality of eligible studies was assessed by using Quality Assessment and Diagnostic Accuracy Tool-2. Quantitative analyses were conducted using hierarchical logistic regression for meta-analyses on diagnostic accuracy. Subgroup analyses on different image modalities (PA radiographs, panoramic radiographs, and cone beam computed...