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Institution

Jordan University of Science and Technology

EducationIrbid, Irbid, Jordan
About: Jordan University of Science and Technology is a education organization based out in Irbid, Irbid, Jordan. It is known for research contribution in the topics: Population & Health care. The organization has 7582 authors who have published 13166 publications receiving 298158 citations. The organization is also known as: JUST.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors present the findings of a survey aimed at identifying the most important causes of delays in construction projects with traditional type contracts from the viewpoint of construction contractors and consultants.

757 citations

Journal ArticleDOI
01 Aug 2013-Carbon
TL;DR: In this paper, the microstructure, electromagnetic interference shielding effectiveness (SE), DC electrical conductivity, AC electrical conductivities and complex permittivity of nanostructured polymeric materials filled with three different carbon nanofillers of different structures and intrinsic electrical properties were investigated.

716 citations

Journal ArticleDOI
TL;DR: A comprehensive review of NF in water treatments is presented in this paper, including a review of the applications of NF as well as in the pretreatment process for desalination; the mechanism and minimization of NF membrane fouling problems; and theories for modelling and transport of salt, charged and noncharged organic compounds in NF membranes.

711 citations

Journal ArticleDOI
TL;DR: A robust variable step-size LMS-type algorithm providing fast convergence at early stages of adaptation while ensuring small final misadjustment is presented, providing performance equivalent to that of the regular LMS algorithm.
Abstract: A number of time-varying step-size algorithms have been proposed to enhance the performance of the conventional LMS algorithm. Experimentation with these algorithms indicates that their performance is highly sensitive to the noise disturbance. This paper presents a robust variable step-size LMS-type algorithm providing fast convergence at early stages of adaptation while ensuring small final misadjustment. The performance of the algorithm is not affected by existing uncorrelated noise disturbances. An approximate analysis of convergence and steady-state performance for zero-mean stationary Gaussian inputs and for nonstationary optimal weight vector is provided. Simulation results comparing the proposed algorithm to current variable step-size algorithms clearly indicate its superior performance for cases of stationary environments. For nonstationary environments, our algorithm performs as well as other variable step-size algorithms in providing performance equivalent to that of the regular LMS algorithm.

702 citations

Journal ArticleDOI
Haidong Wang1, Chelsea A. Liddell1, Matthew M Coates1, Meghan D. Mooney1  +228 moreInstitutions (123)
TL;DR: Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa, and rising income per person and maternal education and changes in secular trends led to 4·2 million fewer deaths.

684 citations


Authors

Showing all 7666 results

NameH-indexPapersCitations
Andrew McCallum11347278240
Yousef Khader94586111094
Michael P. Jones9070729327
David S Sanders7563923712
Nidal Hilal7239521524
Nagendra P. Shah7133419939
Jeffrey R. Idle7026116237
Rahul Sukthankar7024028630
Matthias Kern6633214871
David De Cremer6529713788
Moustafa Youssef6129915541
Mohammed Farid6129915820
Rudolf Holze5838813761
Rich Caruana5714526451
Eberhardt Herdtweck5633210785
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022104
20211,371
20201,304
2019994
2018862