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Titlebook: Emerging Technologies in Computing; Second International Mahdi H. Miraz,Peter S. Excell,Maaruf Ali Conference proceedings 2019 ICST Institu

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https://doi.org/10.1007/978-1-4757-6007-1nto three classes by three different experts. Vector space model, a.k.a bag of word model is applied for feature extraction which are later passed to Support Vector Machines (SVM) for sentiment classification. Experiments are conducted on MATLAB Linux server. The dataset is kept public for future use and experiments.
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A Review and Survey on Smartphones: The Closest Enemy to Privacychnology and Human are the two major vulnerabilities that are exploited to invade users’ privacy. It is the necessity of the moment for the researchers and developers to formulate solutions that could be used to educate and protect smartphone users from potential threats and exploitation of data.
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Smart Airports: Review and Open Research Issues study are to improve the experience of travelers, to make new income streams and to increase operational excellence and enhance security. This research identifies the areas for different sectors supporting the airport management to provide better smart services to the travellers leading to smart world.
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Achieving Fairness by Using Dynamic Fragmentation and Buffer Size in Multihop Wireless Networksodes far from the gateway incur significantly higher throughput. The technique also results in better fairness across all nodes. Furthermore, it enhances the total network throughput while lowering the end to end and MAC delays.
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A Data Science Methodology for Internet-of-Thingstunities and concerns of IoT analytics. Moreover, we propose a generic data science methodology for IoT data analytics named as Plan, Collect and Analytics for Internet-of-Things (PCA-IoT). The proposed methodology could be applied in IoT scenarios to perform data analytics for effective and efficient decision-making.
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Sentiment Analysis in E-commerce Using SVM on Roman Urdu Textnto three classes by three different experts. Vector space model, a.k.a bag of word model is applied for feature extraction which are later passed to Support Vector Machines (SVM) for sentiment classification. Experiments are conducted on MATLAB Linux server. The dataset is kept public for future use and experiments.
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,Pilze, Lebenspartner der Waldbäume,d so forth. An evaluative judgement, comparing amongst various BaaS platforms, has been presented, along with the trajectory of adoption, challenges and risk factors. Finally, the study suggests standardisation of available BaaS platforms.
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https://doi.org/10.1007/978-1-61779-779-8m of Impulsive Statistical Fingerprinting (ISF). We provide important insights into our research in healthcare SCADA data security and the use of ISF. We substantiate the conversion of sensor data through the ISF into HL7 format and define policies of a seamless switch to a non HL7-based non-secure HIS to a secure HIS.
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