These are scholarly, peer reviewed Computer Science journals that are "open access" and therefore freely available on the web.
Industrial & Production Engineering Open Access Journals
Access to several journals that publish research articles, reviews, and letters in all areas of international industrial and manufacturing engineering.
Publishes articles describing recent fundamental contributions and innovative applications in the field of intelligent control and systems; covers topics such as robotics, automation, manufacturing, intelligent machines, design methodologies & specs, modeling, simulation, system architectures, behavior programming, fuzzy logic, and evolutionary computation.
"Serving education and industry, The Technology Interface Journal has been developed to provide professionals in the Engineering Technology profession and related fields the opportunity to share ideas concerning teaching, teaching improvements, projects, industrial activities, research and much more."
"a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of robotics."
Click on the books below to read these eBooks and/or peer reviewed articles online.
NOTE: Off-campus users will need to login to the Science & Technology Collection or Pro-Quest eBooks Central for full access.
Collection of selected, peer reviewed papers from the World Virtual Conference on Advanced Research in Materials and Engineering Applications, September 22-26, 2014. Assessment Keyword: Material Science; Thermo, Fluid and Flow Research; Applied Mechanics, Mathematical Modelling, Algorithms, Numerical Methods and Simulation; Power and Energy Applications, Electrical Research; Detection, Measurement, Instrumentation, Assessment About 200 papers cover materials science; heat and fluid flow research; applied mechanics, mathematical modeling, algorithms, numerical methods, and simulation; power and energy applications, and electrical research; and detection, measurement, instrumentation, and assessment.
This paper recommends how authors of statistical studies can communicate to general audiences fully, clearly, and comfortably. The studies may use statistical methods to explore issues in science, engineering, and society or they may address issues in statistics specifically. In either case, readers without explicit statistical training should have no problem understanding the issues, the methods, or the results at a non-technical level.