{"id":158488,"date":"2015-10-09T08:43:32","date_gmt":"2015-10-09T08:43:32","guid":{"rendered":"http:\/\/4cd.e16.myftpupload.com\/?p=158488"},"modified":"2015-10-09T08:43:32","modified_gmt":"2015-10-09T08:43:32","slug":"us-based-ghanaian-scientist-gets-best-application-paper-award-2","status":"publish","type":"post","link":"https:\/\/citifmonline.com\/2015\/10\/us-based-ghanaian-scientist-gets-best-application-paper-award-2\/","title":{"rendered":"US-based Ghanaian scientist gets best application paper award"},"content":{"rendered":"
A paper published by a Ghanaian, Dr. Ayuba Fasasi in the journal of chemometrics -J. Chemom., 2014, volume 28, pages 385-394- led to his selection as the winner of the 2015 Kowalski prize for the \u201cBest Application Paper\u201d in 2015.<\/p>\n
The paper is entitled \u201cSearch prefilters for mid-infrared absorbance spectra of clear coat automotive paint smears using stacked and linear classifiers\u201d. \nThe selection committee selects from a pool of publications in chemometrics all over the world.<\/p>\n
In the award letter, the managing editor of the journal of chemometrics, Professor Paul Trevorrow wrote …..”The selection committee commented that the application covered in the paper, i.e., classifying clear-coat automotive paint smears by mid-infrared spectroscopy, was a difficult, useful and interesting problem.<\/p>\n
The paper provides an effective method for differentiating paint samples by assembly plant and subsequent classification of individual samples with a high level of accuracy. The paper provided a useful assessment of various search pre-filter methods for solving difficult classification problems.<\/p>\n