Identification techniques for mixed autoregressive-moving averege processes

Çantana, Meltem Gülsün


Identification techniques for highly boosted W bosons that decay into hadrons
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In searches for new physics in the energy regime of the LHC, it is becoming increasingly important to distinguish single-jet objects that originate from the merging of the decay products of W bosons produced with high transverse momenta from jets initiated by single partons. Algorithms are defined to identify such W jets for different signals of interest, using techniques that are also applicable to other decays of bosons to hadrons that result in a single jet, such as those from highly boosted Z and Higgs ...
Identification, Optimization and Control of Stochastic Differential Equations in Financial Mathematics
Weber, Gerhard Wilhelm(2010-12-31)
Identification, Optimization and Control of Stochastic Differential Equations in Financial Mathematics
Analysis Methods for the Investigation of the Seismic Response of Concrete Dams
Aldemir, Alper; Yilmazturk, Sema Melek; Yucel, Ali Riza; Binici, Barış; Arıcı, Yalın; Akman, Altug (2015-01-01)
The consideratiOn of the dam-foundation-reservoir interaction is extremely important for estimating the seismic response of concrete gravity dams. Moreover, nonlinear analysis may be required for determining the possible risk associated with dams. In order to address these issues, DSI recently published the "Guidelines for Seismic Design of Concrete Dams". Authors who have contributed to the preparation of this document provide a perspective on the seismic safety/design of concrete dams and structural analy...
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Polat, Görkem; Işık Polat, Ece; Koçyiğit, Altan; Temizel, Alptekin (2021-9-27)
Availability of large, diverse, and multi-national datasets is crucial for the development of effective and clinically applicable AI systems in the medical imaging domain. However, forming a global model by bringing these datasets together at a central location, comes along with various data privacy and ownership problems. To alleviate these problems, several recent studies focus on the federated learning paradigm, a distributed learning approach for decentralized data. Federated learning leverages all the ...
Prediction models for discharge estimation in rectangular compound broad-crested weirs
Al-Khatib, Issam A.; Göğüş, Mustafa (2014-04-01)
Experimental results of the flow of water over 9 different rectangular compound broad-crested weirs with varying lower weir crest width and step height were analyzed to develop prediction models for discharge estimation. The compound cross sections were formed by a combination of three sets of step heights and three sets of lower weir crest widths in a horizontal laboratory flume of 11.0 m length, 0.29 m width and 0.70 m depth. Flow depths at the approach channels were measured for a wide range of discharge...
Citation Formats
M. G. Çantana, “Identification techniques for mixed autoregressive-moving averege processes,” Middle East Technical University, 1993.