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ORCIDHamad Naeem
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2020 – today
- 2023
[j22]Hamad Naeem
, Shi Dong, Olorunjube James Falana, Farhan Ullah:
Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification. Expert Syst. Appl. 223: 119952 (2023)- 2022
- [j21]Ali Abdulqader Bin-Salem, Tat Chee Wan, Hamad Naeem, Mohammed Anbar, Sabri M. Hanshi, Abdellah Redjaimia:
Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks. EURASIP J. Wirel. Commun. Netw. 2022(1): 10 (2022) - [j20]Farhan Ullah, Hamad Naeem, Muhammad Rashid Naeem, Sohail Jabbar, Shehazad Khalid, Fadi Al-Turjman, Abdelrahman Abuarqoub:
Detection of clone scammers in Android markets using IoT-based edge computing. Trans. Emerg. Telecommun. Technol. 33(6) (2022) - [j19]Farhan Ullah, Muhammad Rashid Naeem, Hamad Naeem, Xiaochun Cheng, Mamoun Alazab:
CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model. Int. J. Intell. Syst. 37(9): 5768-5795 (2022) - [j18]Hamad Naeem, Xiaochun Cheng, Farhan Ullah, Sohail Jabbar, Shi Dong:
A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things. J. Circuits Syst. Comput. 31(17): 2250302:1-2250302:21 (2022) - [j17]Farhan Ullah, Amjad Alsirhani, Mohammed Mujib Alshahrani, Abdullah Alomari, Hamad Naeem, Syed Aziz Shah:
Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation. Sensors 22(18): 6766 (2022) - [j16]Farhan Ullah, Jihoon Moon, Hamad Naeem, Sohail Jabbar:
Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. J. Supercomput. 78(17): 19246-19271 (2022) - [j15]Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Hamad Naeem, Tauqeer Ahmed:
CED-OR Based Opportunistic Routing Mechanism for Underwater Wireless Sensor Networks. Wirel. Pers. Commun. 125(1): 487-511 (2022) - 2021
- [j14]Hamad Naeem, Ali Abdulqader Bin-Salem:
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images. Appl. Soft Comput. 113(Part): 107918 (2021) - [j13]Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Tauqeer Ahmed, Asif Raza, Hamad Naeem:
Corrigendum to "USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time". Wirel. Commun. Mob. Comput. 2021: 9693787:1-9693787:1 (2021) - 2020
- [j12]Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Hamad Naeem, Arshad Ahmad, Tauqeer Ahmed:
Underwater Pragmatic Routing Approach Through Packet Reverberation Mechanism. IEEE Access 8: 163091-163114 (2020) - [j11]Hamad Naeem, Farhan Ullah, Muhammad Rashid Naeem, Shehzad Khalid, Danish Vasan, Sohail Jabbar, Saqib Saeed:
Malware detection in industrial internet of things based on hybrid image visualization and deep learning model. Ad Hoc Networks 105: 102154 (2020) - [j10]Danish Vasan, Mamoun Alazab, Sobia Wassan, Hamad Naeem, Babak Safaei, Zheng Qin:
IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture. Comput. Networks 171: 107138 (2020) - [j9]Muhammad Rashid Naeem, Tao Lin, Hamad Naeem, Hailu Liu:
A machine learning approach for classification of equivalent mutants. J. Softw. Evol. Process. 32(5) (2020) - [j8]Shahzad Ashraf, Mingsheng Gao, Zheng Mingchen, Tauqeer Ahmed, Asif Raza, Hamad Naeem:
USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time. Wirel. Commun. Mob. Comput. 2020: 9625974:1-9625974:12 (2020)
2010 – 2019
- 2019
- [j7]Farhan Ullah, Hamad Naeem, Sohail Jabbar, Shehzad Khalid, Muhammad Ahsan Latif, Fadi M. Al-Turjman, Leonardo Mostarda:
Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach. IEEE Access 7: 124379-124389 (2019) - [j6]Muhammad Rashid Naeem, Tao Lin, Hamad Naeem, Farhan Ullah, Saqib Saeed:
Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model. IEEE Access 7: 158264-158283 (2019) - [j5]Hamad Naeem, Bing Guo, Muhammad Rashid Naeem, Farhan Ullah, Hamza Aldabbas, Muhammad Sufyan Javed:
Identification of malicious code variants based on image visualization. Comput. Electr. Eng. 76: 225-237 (2019) - [j4]Hamad Naeem, Bing Guo, Farhan Ullah, Muhammad Rashid Naeem:
A Cross-Platform Malware Variant Classification based on Image Representation. KSII Trans. Internet Inf. Syst. 13(7): 3756-3777 (2019) - [j3]Muhammad Aamir, Yi-Fei Pu, Ziaur Rahman, Muhammad Tahir, Hamad Naeem, Qiang Dai:
A Framework for Automatic Building Detection from Low-Contrast Satellite Images. Symmetry 11(1): 3 (2019) - [j2]Hamad Naeem:
Detection of Malicious Activities in Internet of Things Environment Based on Binary Visualization and Machine Intelligence. Wirel. Pers. Commun. 108(4): 2609-2629 (2019) - 2018
- [j1]Muhammad Aamir, Yi-Fei Pu, Ziaur Rahman, Waheed Ahmed Abro, Hamad Naeem, Farhan Ullah, Aymen Mudheher Badr:
A Hybrid Proposed Framework for Object Detection and Classification. J. Inf. Process. Syst. 14(5): 1176-1194 (2018)
Coauthor Index
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