Institution
University of Jordan
Education•Amman, Jordan•
About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Health care. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.
Papers published on a yearly basis
Papers
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TL;DR: The superiority and applicability of the present technique is illustrated by handling linear and nonlinear numerical examples and the outcomes obtained are compared with exact solutions and existing methods to confirm the effectiveness of the reproducing kernel method.
164 citations
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TL;DR: Two techniques are proposed based on wavelet analysis and fuzzy-neural approaches that can be very helpful for radiologist in detection and diagnosing abnormalities earlier and faster than traditional screening programs.
Abstract: The high incidence of breast cancer in women has increased significantly in the recent years. The most familiar breast tumors types are mass and microcalcification. Mammograms-breast X-ray-are considered the most reliable method in early detection of breast cancer. Computer-aided diagnosis system can be very helpful for radiologist in detection and diagnosing abnormalities earlier and faster than traditional screening programs. Several techniques can be used to accomplish this task. In this paper, two techniques are proposed based on wavelet analysis and fuzzy-neural approaches. These techniques are mammography classifier based on globally processed image and mammography classifier based on locally processed image (region of interest). The system is classified normal from abnormal, mass for microcalcification and abnormal severity (benign or malignant). The evaluation of the system is carried out on Mammography Image Analysis Society (MIAS) dataset. The accuracy achieved is satisfied.
163 citations
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TL;DR: This mapping attempt demonstrates that training/validation data accumulation from different mapping projects must be promoted to support future global land cover mapping.
Abstract: Global land cover is one of the fundamental contents of Digital Earth. The Global Mapping project coordinated by the International Steering Committee for Global Mapping has produced a 1-km global l...
163 citations
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TL;DR: The paper reports the limited influence KM has on staff JP, one of the few studies that fills the gap in the literature concerned with the relationship between KM and JP and perhaps the first to provide insights about the KM intricacies at a Jordanian University.
Abstract: This is an empirical study of knowledge management performance (KMP) at a university and the purpose of this paper is to examine the relationship between knowledge management process (KMPR), KMP and job performance (JP).,The data were collected using a questionnaire, as the instrument for the primary data collection, with total collected back responses of 207 from university lecturers who have actually participated. Structural equation modeling technique was used to fully analyze the data in order to determine what level of the relationship between knowledge management (KM) and JP existed.,The main findings were related to confirming the two main hypotheses of the research that were related to testing if there were relationships between the KMPR (represented by seven surrogate measures, namely, knowledge identification, knowledge creation, knowledge collection, knowledge organizing, knowledge storage, knowledge dissemination and knowledge application) and KMP, as well as if the KMP was related to the JP.,This paper focuses on investigating the actual role of KM at a university, which is assumingly a knowledge factory. Contrary to the conventional wisdom that presumes the importance of KM and specially when there is no proper KM regiment in place, the paper reports the limited influence KM has on staff JP. It is one of the few studies that fills the gap in the literature concerned with the relationship between KM and JP and perhaps the first to provide insights about the KM intricacies at a Jordanian University.
162 citations
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TL;DR: A framework to obtain approximate numerical solutions to ordinary differential equations (ODEs) involving fractional order derivatives using Legendre wavelet approximations using negligible error compared to the exact solution is developed.
Abstract: In this paper, we develop a framework to obtain approximate numerical solutions to ordinary differential equations (ODEs) involving fractional order derivatives using Legendre wavelet approximations. The properties of Legendre wavelets are first presented. These properties are then utilized to reduce the fractional ordinary differential equations (FODEs) to the solution of algebraic equations. Illustrative examples are included to demonstrate the validity and applicability of the technique. Results show that this technique can solve the linear and nonlinear fractional ordinary differential equations with negligible error compared to the exact solution.
161 citations
Authors
Showing all 7905 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yousef Khader | 94 | 586 | 111094 |
Crispian Scully | 86 | 917 | 33404 |
Debra K. Moser | 85 | 558 | 27188 |
Pierre Thibault | 77 | 332 | 17741 |
Ali H. Nayfeh | 71 | 618 | 31111 |
Harold S. Margolis | 71 | 199 | 26719 |
Gerrit Hoogenboom | 69 | 560 | 24151 |
Shaher Momani | 64 | 301 | 13680 |
Robert McDonald | 62 | 577 | 17531 |
Kaarle Hämeri | 58 | 175 | 10969 |
James E. Maynard | 56 | 141 | 9158 |
E. Richard Moxon | 54 | 176 | 10395 |
Liam G Heaney | 53 | 234 | 8556 |
Stephen C. Hadler | 52 | 148 | 11458 |
Nicholas H. Oberlies | 52 | 262 | 9683 |