Titlebook: Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability; Second International Abdalmuttaleb M. A. Musleh

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HAIL

od to ensure that proposed model renders the smallest rate of violations and close to the expected level. This paper highly recommends using the proposed model to reduce the statistical efficiency loss of the classical/score-driven parametric volatility models and that could help investors and asset

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Global Economic Revolutions: Big Data Governance and Business Analytics for SustainabilitySecond International

Horizon

Occlusion

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Indigenous Sustainable Development,is why they are so useful. We use Machine Learning (ML) to find network anomalies and build different models that are driven by data to find DDoS attacks. The main goal of this article is to reduce the number of times that DDoS detection is wrongly labeled. In this paper, we describe a method for se

Rotator-Cuff

,A “Revolution within a Revolution”,on 13 to serve as a mobile communications feature. When compared to previous cellular technologies, NB-expanded IOT‘s coverage, data rate, latency, and battery lifetime are its key characteristics. These NB-IOT capabilities make it extremely useful for IOT manufacturing and enable the upcoming techn