Institution
National University of Malaysia
Education•Kuala 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.
Topics: Population, Heat transfer, Thin film, Membrane, Photovoltaic system
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the effect of high temperature on cement-based materials containing fly ash and nanosilica has not been well characterized, and the porosity was determined using the BET (Brunauer, Emmett, and Teller) technique to study the specimens' behavior after exposure to high temperatures.
162 citations
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TL;DR: In this paper, Nitrogen-doped carbon and its composites possess great potential for fuel cell catalyst applications especially at the oxygen reduction cathode, and the progress in the area of this new class of catalysts and their composites for greater enhancement of oxygen reduction activity and stability in various fuel cell applications is reviewed.
161 citations
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TL;DR: CHIO is a very powerful optimization algorithm that can be used to tackle many optimization problems across a wide variety of optimization domains.
Abstract: In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). The inspiration of CHIO is originated from the herd immunity concept as a way to tackle coronavirus pandemic (COVID-19). The speed of spreading coronavirus infection depends on how the infected individuals directly contact with other society members. In order to protect other members of society from the disease, social distancing is suggested by health experts. Herd immunity is a state the population reaches when most of the population is immune which results in the prevention of disease transmission. These concepts are modeled in terms of optimization concepts. CHIO mimics the herd immunity strategy as well as the social distancing concepts. Three types of individual cases are utilized for herd immunity: susceptible, infected, and immuned. This is to determine how the newly generated solution updates its genes with social distancing strategies. CHIO is evaluated using 23 well-known benchmark functions. Initially, the sensitivity of CHIO to its parameters is studied. Thereafter, the comparative evaluation against seven state-of-the-art methods is conducted. The comparative analysis verifies that CHIO is able to yield very competitive results compared to those obtained by other well-established methods. For more validations, three real-world engineering optimization problems extracted from IEEE-CEC 2011 are used. Again, CHIO is proved to be efficient. In conclusion, CHIO is a very powerful optimization algorithm that can be used to tackle many optimization problems across a wide variety of optimization domains.
161 citations
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TL;DR: In this article, the causal relationship between economic growth and CO2 emissions in a panel of 24 European countries from 1980 to 2010 was examined using an analytical framework that considers pooled mean group estimations in a dynamic heterogeneous panel setting.
Abstract: We examine the causal relationship between economic growth and CO2 emissions in a panel of 24 European countries from 1980 to 2010. Using an analytical framework that considers pooled mean group estimations in a dynamic heterogeneous panel setting, we show that there is an inverted U-shaped relationship between CO2 emissions and economic growth in the long run and that there is no such relationship in the short run. In particular, we find that biomass energy is insignificantly linked to CO2 emission. However, technological innovation significantly facilitates reduction of CO2 emissions in the investigated countries. Altogether, our study implies that economic growth and environmental quality can be achieved simultaneously, which opens up new insights for policy-makers for sustainable economic development via implementation of renewable energy consumption through technological innovation.
161 citations
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TL;DR: Although this technology is still at an embryonic stage, further studies with standard theoretical and comprehensive format are suggested to develop photocatalysts with high production rates and selectivity.
Abstract: In recent years, the increasing level of CO2 in the atmosphere has not only contributed to global warming but has also triggered considerable interest in photocatalytic reduction of CO2. The reduction of CO2 with H2O using sunlight is an innovative way to solve the current growing environmental challenges. This paper reviews the basic principles of photocatalysis and photocatalytic CO2 reduction, discusses the measures of the photocatalytic efficiency and summarizes current advances in the exploration of this technology using different types of semiconductor photocatalysts, such as TiO2 and modified TiO2, layered-perovskite Ag/ALa4Ti4O15 (A = Ca, Ba, Sr), ferroelectric LiNbO3, and plasmonic photocatalysts. Visible light harvesting, novel plasmonic photocatalysts offer potential solutions for some of the main drawbacks in this reduction process. Effective plasmonic photocatalysts that have shown reduction activities towards CO2 with H2O are highlighted here. Although this technology is still at an embryonic stage, further studies with standard theoretical and comprehensive format are suggested to develop photocatalysts with high production rates and selectivity. Based on the collected results, the immense prospects and opportunities that exist in this technique are also reviewed here.
161 citations
Authors
Showing all 26827 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jonathan E. Shaw | 114 | 629 | 108114 |
Sabu Thomas | 102 | 1554 | 51366 |
Biswajeet Pradhan | 98 | 735 | 32900 |
Haji Hassan Masjuki | 97 | 502 | 29653 |
Mika Sillanpää | 96 | 1019 | 44260 |
Choon Nam Ong | 86 | 444 | 25157 |
Keith R. Abrams | 86 | 355 | 30980 |
Kamaruzzaman Sopian | 84 | 989 | 25293 |
Benedikt M. Kessler | 82 | 385 | 24243 |
Michel Marre | 82 | 444 | 39052 |
Peter Willett | 76 | 479 | 29037 |
Peter F. M. Choong | 72 | 532 | 18185 |
Nidal Hilal | 72 | 395 | 21524 |
Margareta Nordin | 72 | 267 | 19578 |
Teuku Meurah Indra Mahlia | 70 | 339 | 17444 |