Titlebook: Big Data in Engineering Applications; Sanjiban Sekhar Roy,Pijush Samui,Stavros Ntalampir Book 2018 Springer Nature Singapore Pte Ltd. 2018

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Coordinate-Free Geometric Computingty in terms of the Maximum compressive stresses, Maximum tensile stresses, and Blow per foot. A database of more than four thousand piles is utilized for model development and comparative performance of the predictions between BPNN and MARS.

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Introduction to Geometric Computingtion models are curing time, NaOH concentration, Ca(OH). content, superplasticizer content, types of mold, types of geopolymer and H.O/Na.O molar ratio. The developed AI models were compared in terms of different statistical parameters such as average absolute error, root mean square error correlati

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Big-Data Analysis of Process Performance: A Case Study of Smart Cities,nt of the service delivery process of the Open311 smart services deployed in the city of Chicago. The outcomes of the test show the ability of the systems to generate metrics in nearly real-time for high volumes of data.

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Implementing Scalable Machine Learning Algorithms for Mining Big Data: A State-of-the-Art Survey,ing Machine Learning algorithms, will be cited throughout the review. However, this review is mainly focused on the performance and implementation traits of scalable Machine Learning algorithms, rather than on framework wide-ranging choices and their trade-offs.

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Facing Up to Nomophobia: A Systematic Review of Mobile Phone Apps that Reduce Smartphone Usage, including smartphone apps, are being attempted for use for health behavior change. We discuss methods of sorting through “big data” generated by apps that purport to curb smartphone addiction. Finally, we propose data-driven features, such as social facilitation and gamification, that developers mi

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