Institution
Universiti Teknologi Petronas
Education•Ipoh, Malaysia•
About: Universiti Teknologi Petronas is a education organization based out in Ipoh, Malaysia. It is known for research contribution in the topics: Adsorption & Ionic liquid. The organization has 6127 authors who have published 11284 publications receiving 119400 citations.
Topics: Adsorption, Ionic liquid, Catalysis, Membrane, Biomass
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the effect of ionic liquid loading, extraction temperature, and extraction time in the removal of dibenzothiophene from dodecane were investigated, which showed that π-π interaction between aromatic rings of sulfur compound and ionic liquids was not the main extraction mechanism.
106 citations
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TL;DR: Electro EEG-derived synchronization likelihood features could be a promising method for diagnosing depression and could be generalized to develop a robust CAD-based tool that may help for clinical purposes.
Abstract: Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning framework involving EEG-derived synchronization likelihood (SL) features as input data for automatic diagnosis of MDD. It was hypothesized that EEG-based SL features could discriminate MDD patients and healthy controls with an acceptable accuracy better than measures such as interhemispheric coherence and mutual information. In this work, classification models such as support vector machine (SVM), logistic regression (LR) and Naive Bayesian (NB) were employed to model relationship between the EEG features and the study groups (MDD patient and healthy controls) and ultimately achieved discrimination of study participants. The results indicated that the classification rates were better than chance. More specifically, the study resulted into SVM classification accuracy = 98%, sensitivity = 99.9%, specificity = 95% and f-measure = 0.97; LR classification accuracy = 91.7%, sensitivity = 86.66%, specificity = 96.6% and f-measure = 0.90; NB classification accuracy = 93.6%, sensitivity = 100%, specificity = 87.9% and f-measure = 0.95. In conclusion, SL could be a promising method for diagnosing depression. The findings could be generalized to develop a robust CAD-based tool that may help for clinical purposes.
106 citations
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TL;DR: In this paper, the authors investigated the effect of the NaOH solution molarity and Na 2 SiO 3 /NaOH ratio on the physical and mechanical properties of high calcium fly ash based geopolymers.
106 citations
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TL;DR: The results showed that the catalytic pyrolysis of RH had resulted in a lower EA as compared to non-catalytic pyrotechnics of RH and other biomass in literature, and the high Gibb's free energy obtained in RH implied that it has the potential to serve as a source of bioenergy production.
106 citations
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TL;DR: In this article, the influence of silicon dioxide (SiO2) and aluminum oxide (Al2O3) nanoparticles on SDS adsorption on kaolinite and SDS-foam stability at static and dynamic conditions was investigated.
105 citations
Authors
Showing all 6203 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muhammad Imran | 94 | 3053 | 51728 |
Muhammad Shahbaz | 92 | 1001 | 34170 |
Muhammad Farooq | 92 | 1341 | 37533 |
Markus P. Schlaich | 74 | 472 | 25674 |
Abdul Basit | 74 | 570 | 20078 |
Keat Teong Lee | 71 | 276 | 16745 |
Abdul Latif Ahmad | 68 | 490 | 22012 |
Cor J. Peters | 52 | 262 | 9472 |
Suzana Yusup | 52 | 437 | 8997 |
Muhammad Nadeem | 52 | 409 | 9649 |
Umer Rashid | 51 | 381 | 10081 |
Hamidi Abdul Aziz | 49 | 345 | 9083 |
Serge Palacin | 45 | 201 | 8376 |
Muhammad Awais | 43 | 272 | 6704 |
Zakaria Man | 43 | 245 | 5301 |