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Institution

Istanbul Technical University

EducationIstanbul, Turkey
About: Istanbul Technical University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Fuzzy logic & Large Hadron Collider. The organization has 12889 authors who have published 25081 publications receiving 518242 citations. The organization is also known as: İstanbul Teknik Üniversitesi & Technical University of Istanbul.


Papers
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Journal ArticleDOI
TL;DR: From the graphs and statistics it is apparent that a neural network solution can provide a tighter fit to the data than conventional models.
Abstract: River flow forecasting and estimation provide basic information on a wide range of problems related to the design and operation of river systems. In this study the applicability of artificial neural networks (ANNs) to forecasting, estimation and extrapolation of the daily flow data belonging to the rivers in the East Mediterranean region of Turkey was investigated. Throughout the study a multi-layer perceptron network was used as the ANN structure. In the forecasting part of the study predictions one day and six days ahead were investigated. The extrapolation ability of ANNs, the prediction beyond the calibration range, was the next concern of the study. The ANNs were then implemented to investigate their generalization ability, i.e. the prediction of a different time series with the trained model. River flow estimation using data from nearby stations was the final application of the ANNs. From the graphs and statistics it is apparent that a neural network solution can provide a tighter fit to th...

252 citations

Journal ArticleDOI
01 Nov 2012
TL;DR: The inherent advantage of electrocoagulation is that no coagulants have to be added to the wastewater and hence the salinity of the water does not increase after treatment.
Abstract: Cost-effective methods are required to treat a wide range of wastewater pollutants in a diverse range of conditions. As compared with traditional treatment methods, electrocoagulation provides a relatively compact and robust treatment alternative in which sacrificial metal anodes initiate electrochemical reactions that provide active metal cations for coagulation and flocculation. The inherent advantage of electrocoagulation is that no coagulants have to be added to the wastewater and hence the salinity of the water does not increase after treatment. Electrocoagulation is a complex process involving a multitude of pollutant removal mechanisms operating synergistically. Although numerous publications have appeared in the recent past, the lack of a holistic and systematic approach has resulted in the design of several treatment units without considering the complexity of the system and process control mechanisms. Due to the fact that electrocoagulation is thought to be an enigmatic, promising treatment tech...

251 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of multilayer perceptrons, MLP, in daily suspended sediment estimation and forecasting was investigated, and the forecasting part of the study was focused on sediment predictions using the past sediment records belonging either to downstream or upstream stations.

251 citations

Journal ArticleDOI
TL;DR: A decision-making methodology based on data envelopment analysis (DEA) is presented, which uses both quantitative and qualitative criteria, for evaluating FLD, and is applied to a real data set of a case study.

250 citations

Journal ArticleDOI
Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam, Federico Ambrogi  +2240 moreInstitutions (157)
TL;DR: In this article, a measurement of the H→ττ signal strength is performed using events recorded in proton-proton collisions by the CMS experiment at the LHC in 2016 at a center-of-mass energy of 13TeV.

250 citations


Authors

Showing all 13155 results

NameH-indexPapersCitations
David Miller2032573204840
H. S. Chen1792401178529
Hyun-Chul Kim1764076183227
J. N. Butler1722525175561
Andrea Bocci1722402176461
Bradley Cox1692150156200
Yang Gao1682047146301
J. E. Brau1621949157675
G. A. Cowan1592353172594
David Cameron1541586126067
Andrew D. Hamilton1511334105439
Jongmin Lee1502257134772
A. Artamonov1501858119791
Teresa Lenz1501718114725
Carlos Escobar148118495346
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023137
2022338
20211,860
20201,772
20191,834
20181,643