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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 potential use of processed solid residue of olive mill products (SROOMP) to treat drinking water containing several heavy metals in trace concentrations, namely Cr(III), Ni(II), Pb(II, Cd(II).

156 citations

Journal ArticleDOI
TL;DR: The results proved that the used software functioned perfectly until a compression ratio of (30–40%) of the raw images; any higher ratio would negatively affect the accuracy of the used system.
Abstract: Despite the large body of work on fingerprint identification systems, most of it focused on using specialized devices. Due to the high price of such devices, some researchers directed their attention to digital cameras as an alternative source for fingerprints images. However, such sources introduce new challenges related to image quality. Specifically, most digital cameras compress captured images before storing them leading to potential losses of information. This study comes to address the need to determine the optimum ratio of the fingerprint image compression to ensure the fingerprint identification system’s high accuracy. This study is conducted using a large in-house dataset of raw images. Therefore, all fingerprint information is stored in order to determine the compression ratio accurately. The results proved that the used software functioned perfectly until a compression ratio of (30–40%) of the raw images; any higher ratio would negatively affect the accuracy of the used system.

154 citations

Journal ArticleDOI
TL;DR: In this article, three tomato cultivars were grown under different levels of NaCl in nutrient solution to determine effects of salt stress on shoot and root dry matter (DM), plant height, water use efficiency (WUE, g DM kg−1 water evapotranspired), shoot sodium (Na) and potassium (K) concentrations, and K versus Na selectivity (SK,Na).
Abstract: Three cultivars of tomato (Lycopersicon esculentum Mill., cvs. Sera, 898, Rohaba) were grown under different levels of NaCl in nutrient solution to determine effects of salt stress on shoot and root dry matter (DM), plant height, water use efficiency (WUE, g DM kg‐1 water evapotranspired), shoot sodium (Na) and potassium (K) concentrations, and K versus Na selectivity (SK,Na). Increasing NaCl concentration in nutrient solution adversely affected shoot and root DM, plant height, WUE, K concentration, and K/Na ratio of all cultivars. Shoot Na concentrations increased with increasing NaCl concentration in the nutrient solution. Although increasing salt concentration in the solution adversely affected growth of all cultivars, the cultivar Sera had the highest shoot and root DM than the other two cultivars (898 and Rohaba). Shoot and root DM of cultivar 898 was most affected by salt, while cultivar Rohaba had an intermediate salt sensitivity. The cultivar Sera generally had higher WUE values, shoot K ...

154 citations

Journal ArticleDOI
01 Nov 2020-Heliyon
TL;DR: A review of content posted in available local Jordanian Facebook groups to explore the perceptions of parents regarding the challenges of distance learning faced by their children during the coronavirus outbreak in Jordan revealed many types of barriers in their endeavors to assist their children with distance learning during the pandemic.

154 citations

Journal ArticleDOI
TL;DR: This survey presents a comprehensive overview of the works done so far on Arabic SA and tries to identify the gaps in the current literature laying foundation for future studies in this field.
Abstract: Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many fields such as data mining, natural language processing and machine learning It is concerned with the automatic extraction of opinions conveyed in a certain text Due to its vast applications, many studies have been conducted in the area of SA especially on English texts, while other languages such as Arabic received less attention This survey presents a comprehensive overview of the works done so far on Arabic SA (ASA) The survey groups published papers based on the SA-related problems they address and tries to identify the gaps in the current literature laying foundation for future studies in this field

153 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