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The Development And Significance Of Business Intelligence (BI) Platforms In Facilitating The Decision-Making Process In Dubai Government Entities
Published 2022“…Business Intelligence (BI) technologies provide a flexible platform for businesses to properly store, process, analyse and report data and processes. The use of BI technologies in handling critical data and facilitating data-driven decision making (DDD) has been realised by many literature studies. …”
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Published 2022“…Therefore, the proposed work, in this paper, is based on the Least Significant Bit (LSB) substitution method. The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. …”
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A Survey of Data Clustering Techniques
Published 2023“…The situation can become problematic as these vast amounts of data require significant storage capacity, which leads to challenges in executing tasks such as analytical operations, processing operations, and retrieval operations that are time-consuming and arduous. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry
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Sulfur oxidative coupling of methane process development and its modeling via machine learning
Published 2022“…<p dir="ltr">Sulfur oxidative coupling of methane (SOCM) has seen a significant improvement in catalyst design and performances, but there is still a lack of development at process level. …”
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A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…Several fraud detection systems are being used in the procurement and logistics sector, and their challenge is incapability of realizing the burden of the money lost and abnormal behaviors in the procurement process. Another major problem with the current system is that having an ever-growing amount of data requires a proportional growing number of staff members to analyze the data. …”
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Cost and energy aware dynamic splitting of video traffic in heterogeneous networks
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Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink
Published 2023“…Big Data Stream processing engines such as Apache Flink use windowing techniques to handle unbounded streams of events. …”
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Staff Development: A Study Into The Significance of Staff Professional Development Programs for Educators and Students Achievement
Published 2011“…This dissertation attempts to study the significance of staff professional development for educators and how it can affect students’ achievement. …”
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