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

QUAIL

Coordinate-Free Geometric Computingpact of the piling hammer induces compression and tension stresses in the piles. Hence, an important design consideration is to check that the strength of the pile is sufficient to resist the stresses caused by the impact of the pile hammer. Due to its complexity, pile drivability lacks a precise an

Highbrow

Introduction to Geometric Computingbtractive clustering (ANFIS-SC) and fuzzy C-Means clustering (ANFIS-FCM) for forecasting long period daily streamflow magnitudes. Long-period data (between 1936 and 2016) from two hydrometric stations in USA were used for training, evaluating and testing the approaches. Five different input combinat

Orchiectomy

Introduction to Geometric Computing cement. The strength of the geopolymer depends upon different factors such as chemical constituents, curing temperature, curing time, super plasticizer etc. In this paper, prediction models for compressive strength of geopolymer is presented using recently developed artificial intelligence techniqu

AVANT

Introduction to Geometric Computingbjectives of power networks. Power companies can attain high indexes of efficiency, reliability and sustainability of the smart grid by appropriate management of such data. Therefore, the smart grids can be assumed as a big data challenge, which needs advanced information techniques to meet massive

Esophagus

Irrepressible

https://doi.org/10.1007/978-981-10-8476-8Deep Learning; Machine Learning; Deep Neutral Network; Data Analytics; Predictive Modeling; Predictive An

Vertical

978-981-13-4162-5Springer Nature Singapore Pte Ltd. 2018

aspersion

chiropractor

Ophthalmologist

Big Data in Engineering Applications978-981-10-8476-8Series ISSN 2197-6503 Series E-ISSN 2197-6511