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Ahmed IT

As seen in: PeerJ
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Articles by Ahmed IT

Scaling laws for Haralick texture features of linear gradients

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By Jen T, Ahmed IT, Hernández JL, Ana Oprisan
| PeerJ
Scaling laws for Haralick texture features of linear gradients Physics and Astronomy, College of Charleston, Charleston, SC, United States DOI 10.7717/peerj-cs.2856 Academic Editor Xiangjie Kong Subject Areas Computer Vision, Data Mining and Machine Learning, Data Science, Visual Analytics Keywords Texture classification, Image analysis, Gray Level Co-occurrence Matrix, Haralick features, Scaling laws Copyright © Licence This is an open access article distributed under the terms of the...
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Machine learning techniques for imbalanced multiclass malware classification through adaptive feature selection

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By Ahmed IT, Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy
| PeerJ
The internet has become increasingly prevalent in daily life due to advancements in information and communication technology. People of all ages rely on various applications operating on various computing devices to meet their daily needs, such as transportation, health, banking, and retail. The increasing use of apps poses security risks for devices and applications. Malicious software, also known as malware, poses the greatest threat to the cyberworld.
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An ensemble approach for imbalanced multiclass malware classification using 1D-CNN

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By Lee YS, Ahmed IT, Binayak Panda, Sudhanshu Shekhar Bisoyi
| PeerJ
Information technology has a significant impact on our daily lives in the modern day. People of all ages use e-commerce, e-banking, e-healthcare, and other online services frequently to meet their everyday needs as the internet’s accessibility has increased. Due to the sheer number of people who are exposed to the internet, malicious coders are motivated to explore all avenues for emotionally and financially exploiting victims.
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