Nii Attoh-Okine, Ph D, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.
7 Ebooks by Nii O. Attoh-Okine
Nii O. Attoh-Okine: Big Data and Differential Privacy
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for ra …
PDF
Inggeris
DRM
€118.99
Nii O. Attoh-Okine: Big Data and Differential Privacy
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for ra …
EPUB
Inggeris
DRM
€118.99
Kasthurirangan Gopalakrishnan & Bjorn Birgisson: Nanotechnology in Civil Infrastructure
Nanotechnology in Civil Infrastructure is a state-of-the art reference source describing the latest developments in nano-engineering and nano-modification of construction materials to improve the bul …
PDF
Inggeris
€96.29
Nii O. (University of Delaware, Newark, USA) Attoh-Okine & Norden E. (NASA Goddard Space Flight Center, Greenbelt, Maryland, USA) Huang: The Hilbert-Huang Transform in Engineering
Data used to develop and confirm models suffer from several shortcomings: the total data is too limited, the data are non-stationary, and the data represent nonlinear processes. The Hilbert-Huang tra …
PDF
DRM
€170.12
Nii O. Attoh-Okine & Halil Ceylan: Intelligent and Soft Computing in Infrastructure Systems Engineering
The term "soft computing" applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although …
PDF
Inggeris
DRM
€166.18