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Institution

National University of Malaysia

EducationKuala Lumpur, Malaysia
About: National University of Malaysia is a education organization based out in Kuala Lumpur, Malaysia. It is known for research contribution in the topics: Population & Heat transfer. The organization has 26593 authors who have published 41270 publications receiving 552683 citations. The organization is also known as: NUM & Universiti Kebangsaan Malaysia.


Papers
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Journal ArticleDOI
TL;DR: In this article, the effects of process variables represented by radiation time, radiation power, and impregnation ratio on the yield and methylene blue (MB) uptake of such carbon were studied.

100 citations

Journal ArticleDOI
TL;DR: In this paper, a new hybrid model integrated adaptive neuro fuzzy inference system with Firefly Optimization algorithm (ANFIS-FFA), is proposed for forecasting monthly rainfall with one-month lead time.
Abstract: In this study, a new hybrid model integrated adaptive neuro fuzzy inference system with Firefly Optimization algorithm (ANFIS-FFA), is proposed for forecasting monthly rainfall with one-month lead time. The proposed ANFIS-FFA model is compared with standard ANFIS model, achieved using predictor-predictand data from the Pahang river catchment located in the Malaysian Peninsular. To develop the predictive models, a total of fifteen years of data were selected, split into nine years for training and six years for testing the accuracy of the proposed ANFIS-FFA model. To attain optimal models, several input combinations of antecedents’ rainfall data were used as predictor variables with sixteen different model combination considered for rainfall prediction. The performances of ANFIS-FFA models were evaluated using five statistical indices: the coefficient of determination (R 2 ), Nash-Sutcliffe efficiency (NSE), Willmott’s Index (WI), root mean square error (RMSE) and mean absolute error (MAE). The results attained show that, the ANFIS-FFA model performed better than the standard ANFIS model, with high values of R 2 , NSE and WI and low values of RMSE and MAE. In test phase, the monthly rainfall predictions using ANFIS-FFA yielded R 2 , NSE and WI of about 0.999, 0.998 and 0.999, respectively, while the RMSE and MAE values were found to be about 0.272 mm and 0.133 mm, respectively. It was also evident that the performances of the ANFIS-FFA and ANFIS models were very much governed by the input data size where the ANFIS-FFA model resulted in an increase in the value of R 2 , NSE and WI from 0.463, 0.207 and 0.548, using only one antecedent month of data as an input (t-1), to almost 0.999, 0.998 and 0.999, respectively, using five antecedent months of predictor data (t-1, t-2, t-3, t-6, t-12, t-24). We ascertain that the ANFIS-FFA is a prudent modelling approach that could be adopted for the simulation of monthly rainfall in the present study region.

100 citations

Journal ArticleDOI
TL;DR: This study approaches the establishment of usefulness of PPG’s contour analysis as an investigator to the changes in the elastic properties of the vascular system, and as a detector of early sub-clinical atherosclerosis.
Abstract: This study presents the variations of photoplethysmogram (PPG) morphology with age. PPG measurement is done noninvasively at the index finger on both right and left hands for a sample of erectile dysfunction (ED) subjects. Some parameters are derived from the analysis of PPG contour showed in association with age. The age is found to be an important factor that affects the contour of PPG signals which accelerates the disappearance of PPG’s dicrotic notch and PPG’s inflection point as well. Arterial compliance is found to be degraded with age due to the fall of arterial elasticity. This study approaches the establishment of usefulness of PPG’s contour analysis as an investigator to the changes in the elastic properties of the vascular system, and as a detector of early sub-clinical atherosclerosis.

100 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identify the issues and major challenges confronting Muslim women in Southeast Asia in the face of increasing religious extremism within the region's Islamist movements and describe what strategies women's groups have employed to engage with these movements and surmount the challenges they posed to women's rights and women's access to justice under the law.
Abstract: Synopsis The ascendancy of political Islam since the 1960s and 1970s throughout the Muslim world has spawned a variety of ‘Islamist movements and activisms’. They range from those that engage in political violence (often referred to as ‘militant Islam’ or ‘jihadic Islam’) to those with peaceful but politicized missionary, proselytizing and social reform projects (also known as ‘dakwah or da'awa’ Islamic movements) and also to those seeking complete social change or revolution through the establishment of an ‘Islamic state’. The first part of this article identifies the issues and major challenges confronting Muslim women in Southeast Asia in the face of increasing religious extremism within the region's Islamist movements. The second part of the article describes what strategies women's groups in Southeast Asia have employed to engage with these movements and surmount the challenges they posed to women's rights and women's access to justice under the law, particularly Muslim family laws and the state's administrative policies and procedures relating to religion. It argues that in order for Muslim women to advocate reforms and change of laws that are detrimental to them, there is a need for Muslim women's groups to form broad coalitions and alliances and to work with progressive and democratic Muslim intellectuals and scholars. In order to reclaim their rights and justice in Islam and under its laws, Muslim women must also be actively engaged with the project of interpretation of texts and laws.

100 citations

Journal ArticleDOI
TL;DR: This article found that the size of a classroom, personalities of the instructor and students and the perception of peers influenced the students to speak up in class, while many of them were still reluctant to participate in class.

99 citations


Authors

Showing all 26827 results

NameH-indexPapersCitations
Jonathan E. Shaw114629108114
Sabu Thomas102155451366
Biswajeet Pradhan9873532900
Haji Hassan Masjuki9750229653
Mika Sillanpää96101944260
Choon Nam Ong8644425157
Keith R. Abrams8635530980
Kamaruzzaman Sopian8498925293
Benedikt M. Kessler8238524243
Michel Marre8244439052
Peter Willett7647929037
Peter F. M. Choong7253218185
Nidal Hilal7239521524
Margareta Nordin7226719578
Teuku Meurah Indra Mahlia7033917444
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202382
2022363
20213,169
20202,808
20192,888
20183,299