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Modeling the compressive strength of high-strength concrete: An extreme learning approach
Al-Shamiri, Abobakr Khalil,Kim, Joong Hoon,Yuan, Tian-Feng,Yoon, Young Soo Elsevier 2019 Construction and Building Materials Vol.208 No.-
<P><B>Abstract</B></P> <P>Compressive strength is a major and significant mechanical property of concrete which is considered as one of the important parameters in many design codes and standards. Early and accurate estimation of it can save in time and cost. In this study, extreme learning machine (ELM) was used to predict the compressive strength of high-strength concrete (HSC). ELM is a relatively new method for training artificial neural networks (ANN), showing good generalization performance and fast learning speed in many regression applications. ELM model was developed using 324 data records obtained from laboratory experiments. The compressive strength was modeled as a function of five input variables: water, cement, fine aggregate, coarse aggregate, and superplasticizer. The performance of the developed ELM model was compared with that of ANN model trained by using back propagation (BP) algorithm. The simulation results show that the proposed ELM model has a strong potential for predicting the compressive strength of HSC.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Extreme learning machine (ELM) was used to predict the compressive strength of High strength concrete. </LI> <LI> The developed ELM model is compared with BP model. </LI> <LI> The ELM model has good prediction accuracy and fast learning speed. </LI> <LI> The results show the potential use of ELM for predicting the compressive strength. </LI> </UL> </P>
Artificial Intelligence and Pattern Recognition Using Data Mining Algorithms
Al-Shamiri, Abdulkawi Yahya Radman International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.7
In recent years, with the existence of huge amounts of data stored in huge databases, the need for developing accurate tools for analyzing data and extracting information and knowledge from the huge and multi-source databases have been increased. Hence, new and modern techniques have emerged that will contribute to the development of all other sciences. Knowledge discovery techniques are among these technologies, one popular technique of knowledge discovery techniques is data mining which aims to knowledge discovery from huge amounts of data. Such modern technologies of knowledge discovery will contribute to the development of all other fields. Data mining is important, interesting technique, and has many different and varied algorithms; Therefore, this paper aims to present overview of data mining, and clarify the most important of those algorithms and their uses.
Physical properties of aqueous mixtures of N-methyldiethanolamine (MDEA) and ionic liquids
R. Yusoff,A. Shamiri,M.K. Aroua,A. Ahmady,M.S. Shafeeyan,W.S. Lee,S.L. Lim,S.N.M. Burhanuddin 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
In the present study, experiments have been conducted to measure the surface tension and heat capacity of aqueous mixtures of N-methyldiethanolamine (MDEA) and ionic liquids (ILs) at atmospheric pressure. Two types of ILs, 1-butyl-3-methylimidazolium tetrafluoroborate ([bmim][BF4] and 1-butyl-3-methyl-imidazolium dicyanamide [bmim][DCA]) were used in these experiments. The surface tension was found to decrease with increasing temperature and ionic liquid concentration. Furthermore, the heat capacity of the mixtures increases with decreasing ionic-liquid concentration and increasing temperature. Linear equations were used to correlate the measured surface tension values, quadratic equations were applied to correlate the heat capacity at different compositions and temperatures.
Public Awareness and Knowledge of Oral Cancer in Yemen
Al-Maweri, Sadeq Ali,Addas, Abdallah,Tarakji, Bassel,Abbas, Alkasem,Al-Shamiri, Hashem M.,Alaizari, Nader Ahmed,Shugaa-Addin, Bassam Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24
Background: Oral cancer is in increasing in incidence in Yemen and indeed worldwide. Knowledge regarding risk factors and early signs in the general population can help in prevention and early detection of the disease. Purpose: The aim of this study was to assess the level of awareness and knowledge of oral cancer in the general population in Yemen. Materials and Methods: A cross-sectional survey using a self-administered questionnaire was conducted on Yemeni adults aged ${\geq}15$ years old. A total of 543 persons participated, the collected data being analyzed using SPSS software. The significance level was set at p<0.05. Results: Two thirds (71.5%) of the participants had heard about oral cancer. Smoking and smokeless tobacco usage were identified as the major risk factors by 71.5% and 73.7% of the participants, respectively. Only 24.1% and 21.4%, respectively, were able to correctly identify red and white lesions as early signs of oral cancer. Knowledge of oral cancer was significantly associated with age (p<0.01), gender (p<0.05) and education level (p<0.001). Conclusions: The findings suggest that the knowledge regarding oral cancer in this population is low. Therefore, educational programs are highly needed to improve such knowledge.
Oral Cancer Awareness of the General Public in Saudi Arabia
Al-Maweri, Sadeq Ali,Tarakji, Bassel,Alsalhani, Anas B,Al-Shamiri, Hashem M,Alaizari, Nader Ahmed,Altamimi, Mohammad Al Sakran,Darwish, Shourouk Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8
Background: The aim of this study was to assess the level of awareness and knowledge about signs and risk factors of oral cancer in the general population in Saudi Arabia. Materials and Methods: A self-administered questionnaire was used to collect information from Saudi adults aged 15 years and older. A total of 679 persons participated in the survey. Descriptive statistics were calculated and chi-square tests, t-tests, and one-way analysis of variance (ANOVA) were used to examine differences between groups. The significance level was set at p<0.05. Results: Only 53.6% of the participants had heard of oral cancer. Smoking and alcohol consumption were identified as the major risk factors by 81.7% and 56.3% of the participants, respectively. Only 22.2% and 18.2%, respectively, were able to correctly identify red and white lesions as early signs of oral cancer. Participants with less than high school education were significantly less aware, and had much less knowledge, of the signs and risk factors of oral cancer (p<0.05). Conclusions: This survey demonstrates a general lack of awareness among the public about oral cancer and a lack of knowledge about its signs and risk factors. There is a clear need to inform and educate the public in matters relating to the known risk factors associated with oral cancer. A media campaign informing the public about oral cancer is clearly required.
Knowledge and Opinions Regarding Oral Cancer among Yemeni Dental Students
Al-Maweri, Sadeq Ali,Abbas, Alkasem,Tarakji, Bassel,Al-Jamaei, Aisha Saleh,Alaizari, Nader Ahmed,Al-Shamiri, Hashem M Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.5
Background: Oral cancer presents with high mortality rates, and the likelihood of survival is remarkably superior when detected early. Health care providers, particularly dentists, play a critical role in early detection of oral cancers and should be knowledgeable and skillful in oral cancer diagnosis. Purpose: The aim of the present study was to assess the current knowledge of future Yemeni dentists and their opinions on oral cancer. Materials and Methods: A pretested self-administered questionnaire was distributed to fourth and fifth year dental students. Questions relating to knowledge of oral cancer, risk factors, and opinions on oral cancer prevention and practices were posed. Results: The response rate was 80%. The vast majority of students identified smoking and smokeless tobacco as the major risk factors for oral cancer. Most of the students (92.6%) knew that squamous cell carcinoma is the most common form of oral cancer, and 85.3% were aware that tongue and floor of the mouth are the most likely sites. While the majority showed willingness to advise their patients on risk factors, only 40% felt adequately trained to provide such advice. More than 85% of students admitted that they need further information regarding oral cancer. As expected, students of the final year appeared slightly more knowledgeable regarding risk factors and clinical features of the disease. Conclusions: The findings of the present study suggest that here is a need to reinforce the undergraduate dental curriculum with regards to oral cancer education, particularly in its prevention and early detection.