Current Issue: Vol. 3, Issue 3, September 2018
Frequency:  Quarterly
ISSN Print:  2637-5672
ISSN Online:  2637-5680
Latest Articles
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Htun Myint
Pages: 60-68   Published Online: Oct. 12, 2018
DOI: 10.11648/j.mlr.20180303.12
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Wint Wah Myint, Khin Sandar Tun, Hla Myo Tun
Pages: 49-59   Published Online: Oct. 10, 2018
DOI: 10.11648/j.mlr.20180303.11
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Thae Nu Wah, Hla Myo Tun
Pages: 33-48   Published Online: Sep. 25, 2018
DOI: 10.11648/j.mlr.20180302.14
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Abdulazeez Idris, Bashir Ismail, Mustapha Usman Jama’are, Dahiru Zaharaddeen
Pages: 28-32   Published Online: Sep. 19, 2018
DOI: 10.11648/j.mlr.20180302.13
View  327          Downloads  7
Raad Muzahem Fenjan
Pages: 18-27   Published Online: Sep. 13, 2018
DOI: 10.11648/j.mlr.20180302.12
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Mahbina Akter Mim, K. M. Shawkat Zamil
Pages: 11-17   Published Online: Sep. 3, 2018
DOI: 10.11648/j.mlr.20180302.11
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Henry Erialuode Amhenrior, Joy Omoavowere Emagbetere
Pages: 1-10   Published Online: Sep. 1, 2018
DOI: 10.11648/j.mlr.20180301.11
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Vincent A. Akpan, Joshua B. Agbogun, Michael T. Babalola, Bamidele A. Oluwade
Pages: 152-168   Published Online: Dec. 28, 2017
DOI: 10.11648/j.mlr.20170204.16
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Research Topics
Research Topic is an innovative academic concept focusing on the hottest areas in academia, here gathered a variety of current research active areas and issues. You can browse the topics you are interested in and offer new topics for others.
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Research Topic #1
Learning modalities
Learning modalities refer to a range of competing and contested theories that aim to account for differences in individuals' learning. These theories propose that all people can be classified according to their ' modalities ' of learning, although the various theories present differing views on how the styles should be defined and categorised. A common concept is that individuals differ in how they learn.
Research Topic #2
Machine learning
Machine learning is closely related to (and often overlaps with) computational statistics, which focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining and data analysis and is known as unsupervised learning. Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.
Research Topic #3
Linear control theory
Linear control systems use linear negative feedback to produce a control signal mathematically based on other variables, with a view to maintain the controlled process within an acceptable operating range. The output from a linear control system into the controlled process may be in the form of a directly variable signal, such as a valve that may be 0 or 100% open or anywhere in between. Sometimes this is not feasible and so, after calculating the current required corrective signal, a linear control system may repeatedly switch an actuator, such as a pump, motor or heater, fully on and then fully off again, regulating the duty cycle using pulse-width modulation.
Research Topic #4
Intelligent control
Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms. Intelligent control can be divided into the following major sub-domains: Neural network control; Bayesian control; Fuzzy control; Neuro-fuzzy control; Expert Systems; Genetic control; Intelligent agents (Cognitive/Conscious control).
Special Issues
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Editorial Board
Department of Computer Science and Systems Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, Andhra Pradesh, India
Heba Elgazzar
Department of Computer Science and Information Systems, Morehead State University, Morehead, Kentucky, USA
Jayanthi Jagnnanthan
Department of Computer Science and Engineering, Sona College of Technology, Salem, Tamil Nadu, India
Long Cheng
Department of Research and Development, Kiwii Power Technology Corporation, Troy, New York, USA
Ahmed Anter
Faculty of Computer Science and Information, Beni-suef University, Benisuef, Egypt
Peer Reviewer
Srujana Gattupalli
Computer Science and Engineering, University of Texas at Arlington, Hillsboro, Oregon, USA
Chandan Karadagur Ananda Reddy
Microsoft Corp., Redmond, Washington, USA
Neda Nourshamsi
Electrical and Computer Engineering Department, Oklahoma State University, Fairfax, Virginia, USA
Qian Wu
School of Artifical Intelligience, Xidian University, Xi'an, Shannxi, China
Shahnawaz Qureshi
Department of Computer Science, Prince of Songkla University, Hatyai, Songkhla, Thailand
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