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Muhammad Adnan Aziz on Muck Rack

Muhammad Adnan Aziz

As seen in: MDPI, Taylor & Francis Online, netralnews.com
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Articles

Dari Botol Bekas Menjadi Roket, KKN-T Undip Ajak Siswa Belajar Sains

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By Muhammad Adnan Aziz
| netralnews.com
Apakah Anda yakin ingin melanjutkan proses ini? Perlu Diperhatikan • Dengan menekan tombol "Nanti Saja", Anda hanya dapat membaca dan membagikan berita netralnews • Akun Anda dapat kembali digunakan untuk berinteraksi setelah menyetujui Ketentuan dan Kebijakan Privasi yang berlaku di netralnews
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Adversarial collapse to robust recovery: assessing the impact of robustness and adversarial retraining on Android malware detection

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By Muhammad Qasim, Muhammad Adnan Aziz, Muhammad Umair
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract Machine learning (ML) and deep learning (DL) models are widely used for Android malware detection because they can learn discriminative patterns from static features such as permissions, API calls, and manifest attributes.
Open in Who Shared Issue with article?

Optimal Demand Response Using Battery Storage Systems and Electric Vehicles in Community Home Energy Management System-Based Microgrids

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By Ayesha Abbasi, Kiran Sultan, Sufyan Afsar, Muhammad Adnan Aziz
| MDPI
Abstract : Demand response (DR) strategies are recieving much attention recently for their applications in the residential sector. Electric vehicles (EVs), which are considered to be a fairly new consumer load in the power sector, have opened up new opportunities by providing the active utilization of EVs as a storage unit.
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