Science Innovation

Special Issue

Innovation Sciences--Managing Technology in Society

  • Submission Deadline: Dec. 20, 2014
  • Status: Submission Closed
  • Lead Guest Editor: santina di salvo
About This Special Issue
While innovation is significant in economic growth, sustainable development and welfare, many inspiring technological ideas never make it into society. This special issue seeks a deeper understanding of why this is the case, and how to improve the situation. It will cover the management of the mechanisms and processes involved in developing and introducing new technological options, the socio-economic implications of technical change, the design and evaluation of public policies, private business strategies and actions of non-governmental organisations. Submissions concerning scientific and technical innovation in a global context will be highly encouraged.
Lead Guest Editor
  • santina di salvo

    department of architecture of university of palermo, palermo, Italy

Guest Editors
  • Ranjini Kottaiyan

    Flaum Eye Institute, University of rochester, Rochester, United States

  • vishwajit barbudhe

    JCOET, India

  • Khyati Dave

    Biodesign Program, Stanford University, Palo Alto, United States

  • Khyati Dave

    Biodesign Program, Stanford University, Palo Alto, United States

  • santina di salvo

    department of architecture of university of palermo, palermo, Italy

  • Hessamoddin Hosseiny

    M.A, Kouhdasht, Iran

  • Niyazi Bilim

    Department of Mining Engineering, Selcuk University, Konya, Turkey

  • Dr. Md. Mamun Habib

    Department of Decision Sciences, Operations Research, School of Quantitative Sciences (SQS), Universiti Utara Malaysia (UUM), Sintok, Malaysia

  • Valasani Usha Shree

    Department of Electronics and Communication Engineering, J. B. Institute of Engineering and Technology (JBIET) (autonomous), Hyderabad, India

  • Valasani Usha Shree

    Department of Electronics and Communication Engineering, J. B. Institute of Engineering and Technology (JBIET) (autonomous), Hyderabad, India

  • Arezu Jahanshir

    Department of Physics, Buein Zahra Technical University, Qazvin, Iran

Published Articles
  • Comparison of two Different Application of Neural Network on Sudan Soil Profile

    Hussien Elarabi , Safa A. Abdelgalil

    Issue: Volume 2, Issue 5-1, September 2014
    Pages: 1-4
    Received: May 08, 2014
    Accepted: Jun. 23, 2014
    Published: Jul. 07, 2014
    DOI: 10.11648/j.si.s.2014020501.11
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    Abstract: The objective of this paper is to compare between two studies that had been carried out using ANNs in prediction of Sudan soil profile. This importance in the design and implementation of all engineering projects which reduce cost and time. Artificial Neural Networks (ANNs) program is applied to realize this aim. The data of 1909 boreholes from 417... Show More