Investigating How the Cloud Computing Transforms the Development of Industries
TL;DR: This study applied machine-learning algorithms to analyze educational, logistic, and manufacturing data and yielded results with more than 90% accuracy and AUC, indicating that intelligence and automation are the core issues that drive research on cloud computing.
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Abstract: The Internet of Things (IoT) transforms many fields, including the educational, logistics, and manufacturing industries. The IoT is an internet framework whereby a large number of devices or equipment are connected and synchronized using gateways, third-party technologies, and software in machine-to-machine and cloud computing networks. With the flourishing development of IoT, cloud computing plays an essential role in its application layer. Cloud computing technology has been widely applied in various industries and developed as particular cloud computing types: education as a service (EaaS), logistics as a service (LaaS), and manufacturing as a service (MaaS). The applicability of cloud computing in various industries has attracted significant attention from researchers and professionals. This study investigated the technical trends of emerging cloud computing technologies and surveyed 3,697 cloud computing-related studies from 2010 to 2019. The findings indicate that intelligence and automation are the core issues that drive research on cloud computing. The main types of research are critical review, system design, and systematic analysis. Cloud computing services (e.g., XaaS, EaaS, LaaS, MaaS) are related to big data, analytical technologies, service orientation, and IoT. This study applied machine-learning algorithms to analyze educational, logistic, and manufacturing data and yielded results with more than 90% accuracy and AUC. This study used various devices such as laptops, tablets, and smartphones to configure and review machine-learning models using third-party cloud platforms, which are infinitely scalable and flexible for data analytics, thereby allowing users to make quicker predictions and decisions focused on business needs.
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Citations
The Internet of things.
TL;DR: A ski binding comprises a base and a jaw pivotally mounted on the base for engaging a ski boot and the ski binding is provided with an indicator mechanism to indicate the break away force for which the binding is set.
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Security Threats, Defense Mechanisms, Challenges, and Future Directions in Cloud Computing
TL;DR: An architecture tutorial on cloud computing technology, including their essential characteristics, services models, deployment models, and cloud data center virtualization, and the various attacks in the cloud and privacy challenges is provided.
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TL;DR: The concept of quality in higher education is by no means a new one as discussed by the authors, and it has been widely used in industry and government for many decades, but it has not yet gained much attention in the higher education domain.
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An Ensemble Approach Based on Fuzzy Logic Using Machine Learning Classifiers for Android Malware Detection
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