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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: An ophiolitic suture zone and associated active continental margin sequences of mid-Jurassic age are found in northern Turkey exposed in inliers surrounded by an extensive Upper Cretaceous to Eocene volcanic blanket as discussed by the authors.
Abstract: An ophiolitic suture zone and associated active continental margin sequences of mid-Jurassic age are found in northern Turkey exposed in inliers surrounded by an extensive Upper Cretaceous to Eocene volcanic blanket. The pre–Late Jurassic rocks of the eastern Black Sea Mountains (eastern Pontide tectonic zone) consist of two distinct lithologic associations: a “continental” assemblage represents a Permian to Early Jurassic north-facing magmatic arc, whereas an “oceanic” assemblage, including a locally metamorphosed ophiolite suite overlain by deep-sea sediments, is believed to represent the vestiges of an oceanic realm that existed north of the arc during the ?Permian to Jurassic interval. During the mid-Jurassic, the oceanic assemblage underwent penetrative deformation and was overthrust by the continental assemblage. The latter has not been penetratively deformed except for a wide zone of intense cataclasis along its basal thrust. The southern part of the continental assemblage was affected by east-west gravity faulting and basaltic and some trachytic volcanism during the Early Jurassic. We interpret the Permian to mid-Jurassic geological record of the eastern Pontides as the expression of the progressive contraction of a Permian-Jurassic ocean with a south-dipping subduction zone. Its closure resulted in the overthrusting of the continental assemblage onto the oceanic assemblage. Regional considerations suggest that the suture forms a part of an orogenic belt stretching from the mid-Jurassic South Rhodope Orogen through the early to mid-Mesozoic orogenic zones of the peri-Black Sea regions, northern Iran, Afghanistan, central Tibet, and China. This orogenic belt resulted from the closure of Permian-Triassic Paleo-Tethys. The oceanic assemblage we describe is believed to be a part of the floor of this ocean, whereas the continental assemblage is viewed as a part of a previously defined Cimmerian continent.

198 citations

Journal ArticleDOI
05 Feb 2014
TL;DR: In this paper, a search is performed for a massive vector-like quark T, with charge 2/3, that is pair produced together with its antiparticle in proton-proton collisions.
Abstract: A search is performed for a massive new vector-like quark T, with charge (2/3), that is pair produced together with its antiparticle in proton–proton collisions. The data were collected by the CMS experiment at the Large Hadron Collider in 2012 at √s = 8 TeV and correspond to an integrated luminosity of 19.5 fb^(−1). The T quark is assumed to decay into three different final states, bW, tZ, and tH. The search is carried out using events with at least one isolated lepton. No deviations from standard model expectations are observed, and lower limits are set on the T quark mass at 95% confidence level. The lower limit lies between 687 and 782 GeV for all possible values of the branching fractions into the three different final states assuming strong production. These limits are the most stringent constraints to date on the existence of such a quark.

198 citations

Journal ArticleDOI
TL;DR: In this paper, the authors shed light on some of the major enabling technologies for 6G, which are expected to revolutionize the fundamental architectures of cellular networks and provide multiple homogeneous artificial intelligence-empowered services, including distributed communications, control, computing, sensing and energy, from its core to its end nodes.
Abstract: The fifth generation (5G) mobile networks are envisaged to enable a plethora of breakthrough advancements in wireless technologies, providing support of a diverse set of services over a single platform. While the deployment of 5G systems is scaling up globally, it is time to look ahead for beyond 5G systems. This is mainly driven by the emerging societal trends, calling for fully automated systems and intelligent services supported by extended reality and haptics communications. To accommodate the stringent requirements of their prospective applications, which are data-driven and defined by extremely low-latency, ultra-reliable, fast and seamless wireless connectivity, research initiatives are currently focusing on a progressive roadmap towards the sixth generation (6G) networks, which are expected to bring transformative changes to this premise. In this article, we shed light on some of the major enabling technologies for 6G, which are expected to revolutionize the fundamental architectures of cellular networks and provide multiple homogeneous artificial intelligence-empowered services, including distributed communications, control, computing, sensing, and energy, from its core to its end nodes. In particular, the present paper aims to answer several 6G framework related questions: What are the driving forces for the development of 6G? How will the enabling technologies of 6G differ from those in 5G? What kind of applications and interactions will they support which would not be supported by 5G? We address these questions by presenting a comprehensive study of the 6G vision and outlining seven of its disruptive technologies, i.e., mmWave communications, terahertz communications, optical wireless communications, programmable metasurfaces, drone-based communications, backscatter communications and tactile internet, as well as their potential applications. Then, by leveraging the state-of-the-art literature surveyed for each technology, we discuss the associated requirements, key challenges, and open research problems. These discussions are thereafter used to open up the horizon for future research directions.

198 citations

Journal ArticleDOI
TL;DR: The range-dependent neural network (RDNN) was found to be superior to conventional ANN applications, where only a single network is trained considering the entire training data set, and both low and high-observed sediment values were closely approximated by the RDNN.

197 citations

Journal ArticleDOI
TL;DR: In this paper, a combined wavelet-ANN method was proposed to estimate and predict the suspended sediment load in rivers by using measured data were decomposed into wavelet components via discrete wavelet transform, and the new wavelet series was used as input for the ANN model.

197 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