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 & Control theory. The organization has 21644 authors who have published 39500 publications receiving 520635 citations.
Topics: Membrane, Control theory, Adsorption, Antenna (radio), Population
Papers published on a yearly basis
Papers
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TL;DR: It was generally discovered that, existing prioritization techniques suffer from a number of limitations which includes: lack of scalability, methods of dealing with rank updates during requirements evolution, coordination among stakeholders and requirements dependency issues.
Abstract: Context: During requirements engineering, prioritization is performed to grade or rank requirements in their order of importance and subsequent implementation releases It is a major step taken in making crucial decisions so as to increase the economic value of a system Objective: The purpose of this study is to identify and analyze existing prioritization techniques in the context of the formulated research questions Method: Search terms with relevant keywords were used to identify primary studies that relate requirements prioritization classified under journal articles, conference papers, workshops, symposiums, book chapters and IEEE bulletins Results: 73 Primary studies were selected from the search processes Out of these studies; 13 were journal articles, 35 were conference papers and 8 were workshop papers Furthermore, contributions from symposiums as well as IEEE bulletins were 2 each while the total number of book chapters amounted to 13 Conclusion: Prioritization has been significantly discussed in the requirements engineering domain However, it was generally discovered that, existing prioritization techniques suffer from a number of limitations which includes: lack of scalability, methods of dealing with rank updates during requirements evolution, coordination among stakeholders and requirements dependency issues Also, the applicability of existing techniques in complex and real setting has not been reported yet
331 citations
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TL;DR: In this article, the performance of asymmetric polyethersulfone ultrafiltration flat sheet membranes with polyethylene glycol (PEG) of different molecular weight as additives was reported.
331 citations
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TL;DR: Wang et al. as mentioned in this paper investigated and compared the use of current state-of-the-art ensemble techniques, such as AdaBoost, Bagging, and Rotation Forest, for landslide susceptibility assessment with the base classifier of J48 Decision Tree (JDT).
Abstract: Landslides are a manifestation of slope instability causing different kinds of damage affecting life and property. Therefore, high-performance-based landslide prediction models are useful to government institutions for developing strategies for landslide hazard prevention and mitigation. Development of data mining based algorithms shows that high-performance models can be obtained using ensemble frameworks. The primary objective of this study is to investigate and compare the use of current state-of-the-art ensemble techniques, such as AdaBoost, Bagging, and Rotation Forest, for landslide susceptibility assessment with the base classifier of J48 Decision Tree (JDT). The Guangchang district (Jiangxi province, China) was selected as the case study. Firstly, a landslide inventory map with 237 landslide locations was constructed; the landslide locations were then randomly divided into a ratio of 70/30 for the training and validating models. Secondly, fifteen landslide conditioning factors were prepared, such as slope, aspect, altitude, topographic wetness index (TWI), stream power index (SPI), sediment transport index (STI), plan curvature, profile curvature, lithology, distance to faults, distance to rivers, distance to roads, land use, normalized difference vegetation index (NDVI), and rainfall. Relief-F with the 10-fold cross-validation method was applied to quantify the predictive ability of the conditioning factors and for feature selection. Using the JDT and its three ensemble techniques, a total of four landslide susceptibility models were constructed. Finally, the overall performance of the resulting models was assessed and compared using area under the receiver operating characteristic (ROC) curve (AUC) and statistical indexes. The result showed that all landslide models have high performance (AUC > 0.8). However, the JDT with the Rotation Forest model presents the highest prediction capability (AUC = 0.855), followed by the JDT with the AdaBoost (0.850), the Bagging (0.839), and the JDT (0.814), respectively. Therefore, the result demonstrates that the JDT with Rotation Forest is the best optimized model in this study and it can be considered as a promising method for landslide susceptibility mapping in similar cases for better accuracy.
330 citations
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TL;DR: This research presents an intuitionistic fuzzy TOPSIS method to select the right sustainable supplier that concerns nine criteria and thirty sub-criteria for an automotive spare parts manufacturer and provides an accurate sustainable ranking of suppliers and a reliable solution for sustainable sourcing decisions that is validated through a real-world case study.
329 citations
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TL;DR: The results of this paper demonstrated that the nexus between CO2 emissions and economic growth gives reasons for policy options that have to reduce emissions by imposing limiting factors on economic growth as well.
326 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 |