Classification technique is important tool in data mining for the classification and grouping of data. The techniques of data mining offer various types of classification technique such as binary classifier, statistical classifier; neural network based classifier and also gives rule based classifier. The applicability of classifier depends on the processing of data domain. Now a day’s rule base...

Remotely sensed imagery has become increasingly important in several applications domains, such as environmental monitoring, change detection, fire risk mapping and land use, to name only a few. Several advanced image classification techniques have been developed to analyze such imagery and in particular to improve the accuracy of classifying images in the context of such applications. However,...

current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. application of the intelligent system for fault direction classification has been suggested in this paper. a new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. the proposed classifier uses ...

Heart failure (ARF) is a health problem that has relatively high mortality and morbidity rates in developed or developing countries, including Indonesia. In 2016, WHO stated 17.5 million people died from cardiovascular disease, while 2008, HF disease represented 31% of patient deaths worldwide. One the new breakthroughs for early diagnosis utilizing data mining techniques. this study, Correlate...

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

AIM To analyse nuclear chromatin texture in non-recurrent and recurrent papillary urothelial neoplasms of low malignant potential (PUNLMPs). MATERIALS Ninety three karyometric features were analysed on haematoxylin and eosin stained sections from 20 PUNLMP cases: 10 from patients with a solitary PUNLMP lesion, who were disease free during at least eight years' follow up, and 10 from patients ...

This paper investigates strategies that defend against adversarial-example attacks on image-classification systems by transforming the inputs before feeding them to the system. Specifically, we study applying image transformations such as bit-depth reduction, JPEG compression, total variance minimization, and image quilting before feeding the image to a convolutional network classifier. Our exp...

This paper investigates strategies that defend against adversarial-example attacks on image-classification systems by transforming the inputs before feeding them to the system. Specifically, we study applying image transformations such as bit-depth reduction, JPEG compression, total variance minimization, and image quilting before feeding the image to a convolutional network classifier. Our exp...