International Journal of Applied Mathematics and Machine LearningThis new journal is a fully-refereed electronic journal that welcomes
original research articles that report interesting and potentially
important ideas. Longer survey articles are also welcomed if they
provide important referencing materials.
All papers submitted to this journal are evaluated by external
reviewers (anonymous to authors) and refereed within four weeks. Upon
acceptance the papers are published online within one week. (The
accepted papers should be published promptly in order to be relevant
for the urgencies of today in this field. In addition, we should
provide an electronic version paper of author(s) for accepted paper
like many journals.)
Scope: Applied Mathematics; Machine Learning; Pattern Recognition;
Computer Engineering; Electrical Engineering; Software Engineering;
Environmental Engineering; Remote Sensing Image analysis; Water
Resource Engineering.
International Journal of Applied Mathematics and Machine Learning is
the official journal of the Scientific Advances Publishers. The
Scientific Advances Publishers was formed to fill a need for
information exchange among research workers in the applied mathematics
and computer scientific field. Up to now, our journals have been
tagging along in computer science, information theory, optical
processing techniques, and other miscellaneous fields. Because this
work in applied mathematics and computer scientific presently appears
in widely spread articles and as isolated lectures in conferences in
many diverse areas, the purpose of the International Journal of
Applied Mathematic and Machine Learning is to give all of us an
opportunity to get together in one place to publish our work. The
journal will thereby expedite communication among research scientists
interested in applied mathematics and computer scientific field.
We consider applied mathematics and computer scientific in the broad
sense, and we assume that the journal will be read by people with a
common interest in applied mathematic and computer scientific field
but from many diverse backgrounds. These include biometrics, target
recognition, space science, classification methods, character
recognition, image processing, industrial applications, neural
computing, and many others.
