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Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B
Published 2014“…An experimental test matrix was used to validate the proposed correlations. The correlation equations were found to be able to predict the experimentally measured forces during friction stir processing with good statistical significance with average estimate errors of 6.2% and 5.4% for the thrust force and torque, respectively. …”
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An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique
Published 2022“…Thus, studying TC photocatalytic degradation by MOFs would help scientists and engineers optimize the process in terms of effective parameters. Nevertheless, the costly and time-consuming experimental methods, having instrumental errors, encouraged the authors to use the computational method for a more comprehensive assessment. …”
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Experimental Validation of Numerical Model for Thermomechanical Performance of Material Extrusion Additive Manufacturing Process: Effect of Process Parameters
Published 2022“…The numerical models and simulation tools can predict the thermomechanical performance of the MEAM process under given input parameters (material, design, and process variables) and reduce the research and development costs significantly. …”
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Arabic Hotel Reviews Sentiment Analysis Using Deep Learning
Published 2023“…Arabic Hotel Feedback sentiment analysis plays a significant role in understanding the opinions and sentiments expressed by customers in their reviews. …”
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Model predictive control of shell benchmark process
Published 2003“…MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. …”
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Curricular integration of the pharmacists' patient care process
Published 2021“…Pearson's and McNemar chi-square tests were used for statistical analyses. Results The findings indicate that the PPCP-based laboratory significantly improved students' perception of their preparedness to apply a standardized pharmacist care process to verify prescriptions, to collect relevant patient information, and to develop an individual patient-centered care plan. …”
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An evaluation of recruitment and selection processes in three organizations in the UAE
Published 2011“…Recruitment and selection activities play an important role in all organizations. The use of formal and informal recruitment and selection procedures for Human Resource Management has increased dramatically in United Arab Emirates (UAE) organizations. …”
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The Impact of Artificial Intelligence on Institutional Recruitment and Selection Processes
Published 2024“…The research participants’ responses to using technology to enhance recruitment and selection processes were at a high level of significance (p ≤ 0.05). …”
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A guide to the design of fuzzy control systems for manufacturing processes
Published 1990“…While classical control theory has been demonstrated to be highly successful in many manufacturing technology applications, there are shortcomings when applied to processes that require the intuitive skills of a human operator. …”
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Modification and Glycation Microalgae Proteins by Non-Thermal Assisted Process
Published 2024“…Additionally, two main approaches can be used for microalgae protein modification: (i) modification of algae biomass followed by protein isolation or direct use/consumption of biomass, and (ii) isolation of protein from biomass followed by subsequent modification processes. …”
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Framework for a Decision Matrix in Green Project Management Processes
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Adsorption as a Process for Produced Water Treatment: A Review
Published 2020“…The treatment of produced water is a significantly growing challenge for the oil and gas industry that requires serious attention. …”
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…The proposed work presents four significant contributions, namely identifying the key design principles to inform the design of a coordination mobile app for special education, developing and implementing the IEP-Connect mobile app, modelling the selection of a motivator as a Markov Decision Process (MDP), and proposing a Reinforcement Learning (RL) framework to recommend a motivator to be used with students with SEND in a given learning setting. …”
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