Moaiad Ahmad Khder
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Moaiad Ahmad Khder has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Ahmed Ibrahim Taloba
Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia
1 shared publication - Hanan Aljuaid
Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
1 shared publication Latifa Khalid AlNoaimi
1 shared publication- Nadir O. Hamed
Computer Studies Department, Elgraif Sharg Technological College, Sudan Technological University, Khartoum, Sudan
1 shared publication - Rami Ayadi
Department of Computer Science
1 shared publication - Rasha M. Abd El-Aziz
Department of Computer Science, College of Science and Arts in Qurayyat, Jouf University, Sakakah, Saudi Arabia
1 shared publication
Latest Publications
- Open Access
- 11 April 2022
- Published by Hindawi Limited in Wireless Communications and Mobile Computing
- Vol. 2022, 1-10
Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry
Automation in industries offers the benefits of enhancing quality and productivity while minimizing waste and errors, raising safety and adds stability to the production process. Industrial automation offers high profitability, reliability, and safety. It is beneficial to employ machine learning in the field of industrial automation as it helps in monitoring and performing maintenance on industrial machinery. Rational industrial development is closely associated with efforts for automating industrial techniques in all existing ways. Latest improvements in the automation of industrial systems resulted in decrease in cost of energy consumption and hardware. The proposed system is dealt with deep learningbased soft sensors for automation of industrial processes. The eminent benefits of soft sensors are versatility, flexibility, and low cost. With deep learning, many number of features could be processed. Thus, deep learningbased soft sensor encapsulates the above benefits. Soft sensors offer another way for the measurement of process variables, which are measured offline. Deep learning techniques are famous in the design of soft sensors for tough nonlinear systems due to the robustness and accuracy. The work depicted here designs a soft sensor based on deep learning algorithm for automation of industry. In the proposed system, a soft sensor contemplated on deep learning such as the deep neural network (DNN) is presented. The application of deep learningbased soft sensors in the automation of some industrial processes is also discussed here. The proposed system is tested on automatic control on solar power plants and in the measurement of reactive energy in industries. It was found that the proposed system yielded better results with its application in the automated industrial processes.
- 11 April 2022
- Published by Hindawi Limited in Wireless Communications and Mobile Computing
- Vol. 2022, 1-10
Open AccessDeep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry
Automation in industries offers the benefits of enhancing quality and productivity while minimizing waste and errors, raising safety and adds stability to the production process. Industrial automation offers high profitability, reliability, and safety. It is beneficial to employ machine learning in the field of industrial automation as it helps in monitoring and performing maintenance on industrial machinery. Rational industrial development is closely associated with efforts for automating industrial techniques in all existing ways. Latest improvements in the automation of industrial systems resulted in decrease in cost of energy consumption and hardware. The proposed system is dealt with deep learningbased soft sensors for automation of industrial processes. The eminent benefits of soft sensors are versatility, flexibility, and low cost. With deep learning, many number of features could be processed. Thus, deep learningbased soft sensor encapsulates the above benefits. Soft sensors offer another way for the measurement of process variables, which are measured offline. Deep learning techniques are famous in the design of soft sensors for tough nonlinear systems due to the robustness and accuracy. The work depicted here designs a soft sensor based on deep learning algorithm for automation of industry. In the proposed system, a soft sensor contemplated on deep learning such as the deep neural network (DNN) is presented. The application of deep learningbased soft sensors in the automation of some industrial processes is also discussed here. The proposed system is tested on automatic control on solar power plants and in the measurement of reactive energy in industries. It was found that the proposed system yielded better results with its application in the automated industrial processes.
- Open Access
- 1 December 2019
- Published by Taylor & Francis in Transplant Research and Risk Management
- Vol. ume 11, 59-68
Organ Donation In Bahrain
Introduction: Organ-donation research is vital to save human lives and to give people in need hope and longer lives. There are three ways to donate an organ: in the event of brain-stem or circulatory death, and living donation. Organ donation can be done for two reasons: medical research and transplantation into another person in need of that organ. Transplantated organs include kidneys, lungs, hearts, pancreas, bone marrow, bones, skin, corneas, and intestines. There are some organs that can be donated while the donor is still alive, such as part of the liver, kidney, part of the pancreas, part of the lung, and part of the intestine, with the rest occurring after the donor is dead. Objective: The purpose of this research was to present the history of organ donation in Bahrain, how people in Bahrain are aware of organ donation, and who decides to donate their organs, do not accept donation of their organs, and those who are still thinking about it. Moreover, interviewing specialists and studying the record of transplant surgery will give us knowledge of organs available in Bahrain, the number of the transplants that have taken place, and surgery that has not taken place yet. It is hoped that this research will encourage people to donate their organs, help patients to have a completely normal life again, and motivate more researchers to explore this area. Methods: The technique used in this study was based on data collected from different and various resources and studies about organ donation and transplantation in general and Bahrain in particular. In order to enrich this research, an interview with an expert in the field is held. In addition to that, a deep questionnaire was used to assess the number of participants in the organ-donor registry and those waiting for an organ transplant, in addition to getting a look into their history to see if they had ever gone under transplant surgery, whether as a donor, recipient, or neither, and to know their position regarding different organ-donation aspects. Results: Quantitative parameters were extracted from responses and participants’ views. The results showed that Bahrain has few people on the organ-donor register, few waiting for transplant surgery, and few who had undergone transplant surgery, in addition to very different responses regarding willingness to donate organs: many were not willing to donate their organs or not sure. Few knew about laws and regulations in Bahrain, which might have been the reason for the low numbers on the organ-donor register. Also, those willing to donate their organs were aged 18–24 years, but despite that, most would donate an organ for their loved ones, while on the other hand most would not donate family member’s organs. The results also showed that most would not donate for money. Conclusion: The data extracted from this study can be used in a quantitative description of organ donation in Bahrain in many aspects. Overall results show how to prevent the problem of organ failure by lessening prevalence its main factors and to spread awareness of donating organs.
- 1 December 2019
- Published by Taylor & Francis in Transplant Research and Risk Management
- Vol. ume 11, 59-68
Open AccessOrgan Donation In Bahrain
Introduction: Organ-donation research is vital to save human lives and to give people in need hope and longer lives. There are three ways to donate an organ: in the event of brain-stem or circulatory death, and living donation. Organ donation can be done for two reasons: medical research and transplantation into another person in need of that organ. Transplantated organs include kidneys, lungs, hearts, pancreas, bone marrow, bones, skin, corneas, and intestines. There are some organs that can be donated while the donor is still alive, such as part of the liver, kidney, part of the pancreas, part of the lung, and part of the intestine, with the rest occurring after the donor is dead. Objective: The purpose of this research was to present the history of organ donation in Bahrain, how people in Bahrain are aware of organ donation, and who decides to donate their organs, do not accept donation of their organs, and those who are still thinking about it. Moreover, interviewing specialists and studying the record of transplant surgery will give us knowledge of organs available in Bahrain, the number of the transplants that have taken place, and surgery that has not taken place yet. It is hoped that this research will encourage people to donate their organs, help patients to have a completely normal life again, and motivate more researchers to explore this area. Methods: The technique used in this study was based on data collected from different and various resources and studies about organ donation and transplantation in general and Bahrain in particular. In order to enrich this research, an interview with an expert in the field is held. In addition to that, a deep questionnaire was used to assess the number of participants in the organ-donor registry and those waiting for an organ transplant, in addition to getting a look into their history to see if they had ever gone under transplant surgery, whether as a donor, recipient, or neither, and to know their position regarding different organ-donation aspects. Results: Quantitative parameters were extracted from responses and participants’ views. The results showed that Bahrain has few people on the organ-donor register, few waiting for transplant surgery, and few who had undergone transplant surgery, in addition to very different responses regarding willingness to donate organs: many were not willing to donate their organs or not sure. Few knew about laws and regulations in Bahrain, which might have been the reason for the low numbers on the organ-donor register. Also, those willing to donate their organs were aged 18–24 years, but despite that, most would donate an organ for their loved ones, while on the other hand most would not donate family member’s organs. The results also showed that most would not donate for money. Conclusion: The data extracted from this study can be used in a quantitative description of organ donation in Bahrain in many aspects. Overall results show how to prevent the problem of organ failure by lessening prevalence its main factors and to spread awareness of donating organs.