Special Issue Call for Papers

Journal of Computer Sciences and Applications

Special Issue Call for Papers

Special Issue on Computer, Brain and Consciousness

Penrose and Hameroff have proposed an idea that the brain can attain high efficient quantum computation by functioning of microtubular structure of neurons in the cytoskelton of biological cells, including neurons of the brain. They have considered that the human brain is superior to conventional silicon processors. From the standpoint of quantum physics, the latest researches have presented many theories which show the extraordinary capability of brain functions, that lead to the possibility to realize the hyper computational system beyond the Turing machine, the mind-brain interface and nano-size robots with nano-brain architecture. In this sense, the true understanding of brain function, from both a theoretical and experimental point of view, is a very important theme of computer science which might lead to the true understanding of the problems of human consciousness and long-range biological coherence between living systems observed in a natural world. Recent researches also show the fundamental role that quantum vacuum plays in the physiology of living organisms and transmission of information, in particular as regards as brain functions and consciousness. The aim of this special issue it to explore and discuss the most novel and recent theoretical and experimental development about the subject of hyper computation, brain mechanism and the problem of consciousness; to review, comparing and contrasting different points of view; to propose and develop new approaches of scientific research, rapidly and effectively exchanging perspectives and to encourage new lines of research, possibility stimulating the interest of the new generation of researchers in this field.

About the issue

The scope of topics covered in the this issue include:

  • Quantum computation in the brain
  • Possibility to achieve nano-brain architecture and brain-like computers
  • Possibility of hyper computational system
  • Superluminal motion and the speed of spooky action at distance
  • The origin of consciousness from the standpoint of quantum physics and the role of quantum vacuum
  • Coherence between living systems via ZPF field and quantum vacuum dynamics
  • Other related topics.

Important dates

Submission Deadline: November 30, 2014
Notification of Acceptance: February 28, 2015
Final Version Due: March 30, 2015
Special Issue Publishing Date: May 30, 2015

Chief Guest Editor

Takaaki Musha
Advanced Science-Technology Research Organization
Email: takaaki.mushya@gmail.com

Guest Editor

Luigi M. Caligiuri
Foundation of Physics Research Center and University of Calabria
Email: max.caligiuri@gmail.com

A. Bandyopadhyay
Institute of Medical and Engineering Science, MIT
Email: anirban.bandyo@gmail.com

Submit your article now

Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Takaaki Musha at the address: <takaaki.mushya@gmail.com>

Special Issue on Application of Computational Intelligence in Education Systems

This special issue aims to build up bridges for analysis and evaluation of naturally inspired computational intelligence models across observed educational/learning phenomena which performed via main brain functions (Learning & Memory). In other words, this issue proposes on one hand, the theoretical analogous connectivity between cognitive neuroscience science, and swarm intelligence paradigm such as (Ant Colony System).On the other hand it aims theoretically to justify qualified educational decision as well as optimality of learning performance evaluation. The scope of this issue, addresses more specifically the comparative study of computational intelligence concepts observed by learning, autonomous inferences, and perceptions mimicking the brain’s mechanisms while considering behavioral response and / or learning of non-human, and human. In particular, qualified scientists are herein encouraged to submit their distinct interdisciplinary research articles in their diverse expertise areas. Anticipated innovative manuscripts based upon theoretical research topics would be capable of optimal evaluation of learning performance tasks, in addition to complex qualified educational decisions. Objectively, submitted scientists’ papers have to cover adopted interdisciplinary computational intelligence research frame belonging to recently proposed research direction. Accordingly, those research topics are performed via realistically dynamical modeling of proposed educational / learning phenomena. They associated with main brain functions (Learning & memory) using artificial neural networks and ant colony systems. Briefly some of topics of presented issue are given in below.

About the issue

The topics of this special issue include, but are not limited to:

Modeling of Behavioral Learning Performance Evaluation Using Computational Intelligence, Analysis of Individual Differences Using Models of Artificial Neural Networks, Learning Creativity and Computational Intelligence. Assessment of Learning Processes Using o Artificial Neural Networks Models.

Important dates

Submission Deadline: October 1, 2014
Notification of Acceptance: December 15, 2014
Final Version Due: January 10, 2015
Special Issue Publishing Date: Marth 1, 2015

Chief Guest Editor

Hassan MH Mustafa
Staff member with Computer Eng. Dpt.-Al-Baha University
Email: hasssan.mustafa@yahoo.com

Submit your article now

Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Hassan MH Mustafa at the address: <hasssan.mustafa@yahoo.com>

Special Issue on Knowledge Extraction and Visualization

This special issue will focus on extracting and visualizing knowledge from structured , unstructured data, big data, texts and documents. The special issue aims to address methods, techniques, approaches, tools and technologies in knowledge extraction and visualization, underlying the challenging issues governing their designs and the major directions for future developments in these fields. The aim of this special issue is to present original work on knowledge extraction and visualization. Researchers, scholars and practitioners in these fields are encouraged to submit their contribution. Submissions are solicited on, but not limited to, the following topics in knowledge extraction and visualization.

About the issue

The topics of this special issue include, but are not limited to:

  • Natural language processing
  • Natural language understanding
  • Ambiguity in text understanding
  • Text mining
  • Data mining
  • Opinion mining
  • Information extraction
  • Information retrievals
  • Question and answering systems
  • Sentiment analysis
  • Knowledge visualization
  • Knowledge discovering
  • Text summarization
  • Text classification
  • Text categorization
  • Semantic Web
  • Semantic Extraction
  • Semantic Visualization
  • Ontology
  • Knowledge representation
  • Semantic annotation
  • Semantic technology
  • Information visualization
  • Ontology methodology
  • Logical reasoning methodology

Important dates

Submission Deadline: February 01, 2014
Notification of Acceptance: March 01, 2014
Final Version Due: May 01, 2014
Special Issue Publishing Date: August 01, 2014

Chief Guest Editor

Dr. Shaidah Jusoh
Associate Professor, College of Computer Science & Information System, Najran University, Najran, Saudi Arabia
Email: Sbjusoh@nu.edu.sa or shaidah.jusoh@gmail.com

Guest Editor

Dr. Hejab M. Alfawareh
Assistant Professor, College of Computer Science & Information System, Najran University, Najran, Saudi Arabia
Email: hmalfawareh@nu.edu.sa or alfawareh@gmail.com

Dr. Rabiah A. Kadir
Senior lecturer, Dept of Computer Science, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Malaysia
Email: rabiah@upm.edu.my or rabiah.akadir@gmail.com

Submit your article now

If you would like to submit an article to this special issue, please send your submissions via email directly to our guest editor, Dr. Shaidah Jusoh <shaidah.jusoh@gmail.com> or <Sbjusoh@nu.edu.sa>