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Optimization of p-chart for Processes with Multiple Assignable Causes and Random Shift
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doctoralThesis -
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
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masterThesis -
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Industrial Processes Performance Improvement using Six Sigma Principles and Tools
Published 2019“…In this project, TQM and Six Sigma DMAIC methodology were used to improve the process of paper bag making to make sure that the output of the manufacturing process meets the demands of customers. …”
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Additive manufacturing of polymer nanocomposites: Needs and challenges in materials, processes, and applications
Published 2021“…<p dir="ltr">Polymer nanocomposites have attracted increasing interest in research and development with several current and potential industrial applications due to their wide margin of superiority over conventional materials. Polymer composites provide a higher strength-to-weight ratio, easily customizable product properties, flexible manufacturing processes, high resistance to corrosion or erosion, and lower cost. …”
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Mitigating the impact of cultural diversity on the innovation process in the private sector in Dubai
Published 2017“…The main purpose of the present study is to analyse and investigate various methods of mitigating the negative effects that come as a result of cultural diversity on innovation and creativity process in the private-operated business organizations, specifically he construction projects in Dubai. …”
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Decoding silent speech: a machine learning perspective on data, methods, and frameworks
Published 2025“…<p dir="ltr">At the nexus of signal processing and machine learning (ML), silent speech recognition (SSR) has evolved as a game-changing technology that allows for communication without audible voice. …”
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Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI
Published 2024“…This study delves into the interpretability of these models using explainable AI (XAI), such as eigen visualization for localization and heatmap analysis for segmentation. This exploration provides deeper insights into the decision-making processes of the models, thereby enhancing their reliability. …”
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized healthcare. The most important question when using multimodal data is how to fuse them—a field of growing interest among researchers. …”
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
Published 2025“…Based on our numerical results, PRF performed better than traditional RF and other ML methods for FER, providing 98.37% mean absolute accuracy. …”
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Implementation of the almost guaranteed dimensioning strategy in integrated IP networks
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Recovery of rare earth elements from waste streams using membrane processes: An overview
Published 2021“…Compared to conventional methods, membrane processes have higher selectivity for REEs and lower energy requirements; moreover, they offer the possibility of zero liquid discharge. …”
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Applications in Home Improvement Retailer, Koctas
Published 2024“…Another way Koçtaş is innovating is through the implementation of kiosks that use Natural Language Processing (NLP) to interact with customers. These kiosks can understand and respond to questions asked by customers using AI, providing a more personalized and human-like experience. …”
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The Impact of Staff Engagement Towards the Institutional Quality Assurance Processes of Higher Education Institutions in the UAE
Published 2025“…The findings emphasise that engagement, awareness, and support of staff are key to improving quality assurance processes and provide a foundation for future studies to explore strategies for adapting to the CAA transition to the Outcomes-Based Education Framework. …”
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
Published 2018“…Compared to the literature, the proposed model embeds a new feature selection method and offers higher detection accuracy, which helps lenders and financial institutions to better manage their lending activities and loan monitoring processes.…”
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masterThesis -
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Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach
Published 2022“…Among diverse methods, absorbing hydrogen on host metal is applicable at room temperature and pressure, which does not provide any safety concerns. …”
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Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
Published 2022“…In this work, we showed that AI and natural language processing techniques provide good results for analyzing and classifying users’ sentiments’ polarity and that automatic sentiment analysis can help to analyze users’ responses more accurately and quickly. …”
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Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review
Published 2023“…Furthermore, it explores how the ViT-based models augmented the performance of convolutional neural networks for brain cancer imaging.</p><h3>Methods</h3><p dir="ltr">This review performed the study search and study selection following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. …”
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Exploring Ultra-Processed Foods: Impact on Satiety, Eating Patterns, Blood Glucose Levels and Food Addiction
Published 2025“…Introduction: The global rise in ultra-processed foods (UPFs) consumption has significantly altered dietary habits, leading to adverse health outcomes such as obesity and metabolic dysregulation. …”
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masterThesis