Institution
Universiti Teknologi Malaysia
Education•Johor Bahru, Malaysia•
About: Universiti Teknologi Malaysia is a education organization based out in Johor Bahru, Malaysia. It is known for research contribution in the topics: Membrane & Adsorption. The organization has 21644 authors who have published 39500 publications receiving 520635 citations.
Topics: Membrane, Adsorption, Control theory, Catalysis, Antenna (radio)
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the results showed that the mobile carrier Cyanex 302 is selective towards silver compared to the other metals in the photographic waste, and the highest silver extraction was obtained by using 0.05M Cyanex302, 3% (w/v) Span 80, 4.166Hz (250rpm) stirring speed, 1.0M thiourea in 1. 0M H 2SO 4 stripping agent, 1:5 of treat ratio, and kerosene as a diluent.
159 citations
TL;DR: The study finds that compatibility, information capture, IT/IS knowledge of employee, top management support, information sharing, competitive pressure, cost, relative advantage, and customer pressure are the most important factors influencing social CRM adoption.
159 citations
TL;DR: In this article, a review of membrane technology is classified into different processes and, for each process, progress made since the onset of this millennium in the radioactive decontamination of water is shown.
159 citations
TL;DR: In this paper, a frequency reconfigurable microstrip patch switchable to slot antenna is proposed, which is capable of frequency switching at nine different frequency bands between 1.98 and 3.59 GHz.
Abstract: A frequency-reconfigurable microstrip patch switchable to slot antenna is proposed. The antenna is capable of frequency switching at nine different frequency bands between 1.98 and 3.59 GHz. The patch is resonating at 3.59 GHz, while the slot produces eight different operating frequencies between 1.98 and 3.41 GHz. Five RF p-i-n diode switches are positioned in the slot to achieve frequency reconfigurability. Simulated and measured results are used to demonstrate the performance of the antenna. The simulated and measured return losses, together with the radiation patterns, are presented.
159 citations
TL;DR: An extensive literature on EEG-based MI brain connectivity analysis of healthy subjects is reviewed, and the brain connectomes during left and right hand, feet, and tongue MI movements are discussed.
Abstract: Recent research has reached a consensus on the feasibility of motor imagery brain-computer interface MI-BCI for different applications, especially in stroke rehabilitation. Most MI-BCI systems rely on temporal, spectral, and spatial features of single channels to distinguish different MI patterns. However, no successful communication has been established for a completely locked-in subject. To provide more useful and informative features, it has been recommended to take into account the relationships among electroencephalographic EEG sensor/source signals in the form of brain connectivity as an efficient tool of neuroscience. In this review, we briefly report the challenges and limitations of conventional MI-BCIs. Brain connectivity analysis, particularly functional and effective, has been described as one of the most promising approaches for improving MI-BCI performance. An extensive literature on EEG-based MI brain connectivity analysis of healthy subjects is reviewed. We subsequently discuss the brain connectomes during left and right hand, feet, and tongue MI movements. Moreover, key components involved in brain connectivity analysis that considerably affect the results are explained. Finally, possible technical shortcomings that may have influenced the results in previous research are addressed and suggestions are provided.
159 citations
Authors
Showing all 21852 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Xin Li | 114 | 2778 | 71389 |
| Muhammad Imran | 94 | 3053 | 51728 |
| Ahmad Fauzi Ismail | 93 | 1357 | 40853 |
| Bin Tean Teh | 92 | 471 | 33359 |
| Muhammad Farooq | 92 | 1341 | 37533 |
| M. A. Shah | 92 | 583 | 37099 |
| Takeshi Matsuura | 85 | 540 | 26188 |
| Peter Willett | 76 | 479 | 29037 |
| Peter C. Searson | 74 | 374 | 21806 |
| Ozgur Kisi | 73 | 478 | 19433 |
| Imran Ali | 72 | 300 | 19878 |
| S.M. Sapuan | 70 | 713 | 19175 |
| Peter J. Fleming | 66 | 529 | 24395 |
| Mohammad Jawaid | 65 | 503 | 19471 |
| Muhammad Tahir | 65 | 1636 | 23892 |