Enhanced Network Anomaly Detection Based on Deep Neural Networks von Naseer, Sheraz, Saleem, Yasir, Khalid, Shehzad, Bashir, Muhammad Khawar, Han, Jihun, Iqbal, Muhammad Munwar, Han, Kijun

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Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning von Naseer, Sheraz, Ali, Rao Faizan, Fati, Suliman Mohamed, Muneer, Amgad

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Enhanced Network Intrusion Detection using Deep Convolutional Neural Networks von Naseer, Sheraz, Saleem, Yasir

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iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou's PseAAC von Khan, Yaser Daanial, Khan, Nabeel Sabir, Naseer, Sheraz, Butt, Ahmad Hassan

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Employing automatic content recognition for teaching methodology analysis in classroom videos von Rafique, Muhammad Aasim, Khaskheli, Faheem, Hassan, Malik Tahir, Naseer, Sheraz, Jeon, Moongu

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iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions von Naseer, Sheraz, Ali, Rao Faizan, Muneer, Amgad, Fati, Suliman Mohamed

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iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning von Naseer, Sheraz, Ali, Rao Faizan, Fati, Suliman Mohamed, Muneer, Amgad

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Learning Representations of Network Traffic Using Deep Neural Networks for Network Anomaly Detection: A Perspective towards Oil and Gas IT Infrastructures von Naseer, Sheraz, Faizan Ali, Rao, Dominic, P. D. D., Saleem, Yasir

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iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations von Naseer, Sheraz, Fati, Suliman Mohamed, Muneer, Amgad, Ali, Rao Faizan

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ICT Enabled TVET Education: A Systematic Literature Review von Hassan, Rana Hammad, Hassan, Malik Tahir, Naseer, Sheraz, Khan, Zafran, Jeon, Moongu

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Deep Reinforcement Learning for Anomaly Detection: A Systematic Review von Arshad, Kinza, Ali, Rao Faizan, Muneer, Amgad, Aziz, Izzatdin Abdul, Naseer, Sheraz, Khan, Nabeel Sabir, Taib, Shakirah Mohd

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Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations von Naseer, Sheraz, Hussain, Waqar, Khan, Yaser Daanial, Rasool, Nouman

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iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions von Naseer, Sheraz, Hussain, Waqar, Khan, Yaser Daanial, Rasool, Nouman

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Data-Driven Deep Learning-Based Attention Mechanism for Remaining Useful Life Prediction: Case Study Application to Turbofan Engine Analysis von Muneer, Amgad, Taib, Shakirah Mohd, Naseer, Sheraz, Ali, Rao Faizan, Aziz, Izzatdin Abdul

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Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees von Faizan Ali, Rao, Dominic, P. D. D., Hina, Sadaf, Naseer, Sheraz

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Employing automatic content recognition for teaching methodology analysis in classroom videos von Muhammad Aasim Rafique, Faheem Khaskheli, Malik Tahir Hassan, Sheraz Naseer, Moongu Jeon

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Vulnerabilities Exposing IEEE 802.16e Networks to DoS Attacks: A Survey von Naseer, S., Younus, M., Ahmed, A.

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Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning von Bajwa, Muhammad Naseer, Malik, Muhammad Imran, Siddiqui, Shoaib Ahmed, Dengel, Andreas, Shafait, Faisal, Neumeier, Wolfgang, Ahmed, Sheraz

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Facile synthesis of a novel photocatalyst with integrated features for industrial effluents treatment von Bashir, Sheraz, Iqbal, Naseer, Jamil, Akmal, Alazmi, Amira, Shahid, Muhammad

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ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions von Lucieri, Adriano, Bajwa, Muhammad Naseer, Braun, Stephan Alexander, Malik, Muhammad Imran, Dengel, Andreas, Ahmed, Sheraz

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