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A methodology for controlling grain size in friction stir processes
Published 2014“…Introduced in this work is a methodology for controlling grain size through the manipulation of process parameters in friction stir processes. …”
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A Six Sigma Define Phase Methodology for Service-Level Compliance Processes
Published 2007Get full text
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A Decision Support Model for Pre-qualifying Construction Contractors using 2S-ECI
Published 2023Get full text
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Toward an affordable automation scheme of friction stir processing
Published 2017“…Friction stir processing (FSP), an offshoot from friction stir welding (FSW), is an intricate operation that involves refining the material by a rotating tool. …”
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The Influence of Stakeholder Management on the Successful Implementation of Agile Project Management Methodology in Mega-Events Projects
Published 2019“…The data gathered were processed via specialised software packages and thoroughly analysed against statistical standards. …”
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Investigating the Impact of Negotiated Task-Based Syllabus on Adult Learners' Oral Fluency
Published 2019“…The study involved eight hours of observations identically to the same group of participants who were homogeneous in their English proficiency. …”
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Hate speech detection with ADHAR: a multi-dialectal hate speech corpus in Arabic
Published 2024“…We describe the systematic data collection methodology, followed by a rigorous annotation process involving multiple annotators per dialect. …”
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…This mobile app uses the Individualized Education Program (IEP) as the foundation for coordinating the efforts and supporting the decision-making process of the different personnel who are involved in the IEP of a child with special needs. …”
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Select Immigrants
Published 2023“…The quantitative methodology involves conducting an anonymous questionnaire for the applicants about their experience with the immigration application process. …”
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Gas Turbine Failure Classification using Acoustic Emissions with Wavelet Analysis and Deep Learning
Published 2023“…In this study, we aim to develop such an understanding using a small-scale turbine whose operational conditions can be modified safely to reflect both normal and faulty conditions. Our signal processing approach involves first extracting a time-series envelope using an averaging time selected to enhance major features and eliminate irrelevant noise. …”
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Published 2024“…Compared to state-of-the-art methods, the proposed method achieves the lowest perplexity (14.28), the highest accuracy (93.72%), and an 8 × speedup in the central processing unit. The integration of the preceding two components involves the simultaneous training of multiple versions of the compressed GPT. …”