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Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
Published 2022“…We also provided a large-scale benchmark data set. We believe the presented analysis, data set, and proposed solutions combined with a user-friendly interface can be used as a rapid surveillance tool to analyze and monitor mobile apps deployed in emergency situations leading to rapid changes in the applications without going through an intense participatory design method.…”
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Towards Scalable Process Mining Pipelines
Published 2023“…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. Mostly, these contributions were addressing process mining guidelines from the process mining manifesto. …”
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Recursive Quad-Tree Block Partitioning for Data Embedding in Images
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A Deep Learning Model for Identifying and Analyzing Sarcasm and Emotions in Lebanese Arabizi from Instagram and Twitter Data
Published 2023“…Moreover, microblog platforms often harbor instances of hate speech and cyberbullying, resulting in a massive amount of data available for natural language processing applications. …”
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…The primary tool used in the data supply chain is data batch processing which requires efficient scheduling. …”
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LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Published 2020“…<p>Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. …”
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Modeling and Validating the Clinical Information Systems Policy Using Alloy
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Concurrent bist cost estimation during data path allocation. (c2003)
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Lebanese Colloquial Arabic Speech Recognition
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Mining airline data for CRM strategies. (c2006)
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Published 2024“…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …”
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A Survey of Data Clustering Techniques
Published 2023“…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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Data collection in wireless sensor networks using UAV and compressive data gathering
Published 2019“…Fifth generation wireless networks are expected to provide advanced capabilities and create new markets spanning a wide range of use cases. Among these, massive IoT is standing out with the proliferation of sensors and wearable devices that continuously monitor and transmit data for further processing. …”
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