Innovation Sciences--Managing Technology in Society :: Special Issue

Science Innovation

ISSN Online: 2328-787X; ISSN Print: 2328-7861

Frequency: 4 issues per year

DOI: 10.11648/j.si

Website: http://www.science-discovery.org/journal/si

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Time to first decision

1-2 weeks
First decision to acceptance

4-6 weeks
Acceptance to publication

1-2 weeks

Special Issue

Innovation Sciences--Managing Technology in Society

Submission Deadline: 20 December 2014
Status: Submission Closed

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.

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
santina di salvo

department of architecture of university of palermo, palermo, Italy
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: 8 May 2014

Accepted: 23 June 2014

Published: 7 July 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

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