International Journal of Machine Learning and Computing (IJMLC) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning and computing. The focus is to publish papers on state-of-the-art machine learning and computing. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers.
All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.
|On the Detection of Possible Landslides in Post-Event Satellite Images: A Probability Map Approach|
|Mohammad Faizal Ahmad Fauzi, Agustinus Deddy Arief Wibowo, Sin Liang Lim, and Wooi Nee Tan|
|Volume 5, Number 4, pp. 325-328|
|Landslides are a significant hazard to property and livelihoods, causing millions of dollars worth of damage annually throughout the world, but especially in tropical regions such as Malaysia. Automated or semi-automated detection of ...[Read More]|