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ORCIDHammad Afzal
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2020 – today
- 2024
[j35]Taher Al-Shehari
, Domenico Rosaci, Muna S. Al-Razgan, Taha Alfakih, Mohammed Kadrie, Hammad Afzal, Raheel Nawaz:
Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm. IEEE Access 12: 34820-34834 (2024)- [j34]Zeeshan Anwar, Hammad Afzal, Taher Al-Shehari, Muna S. Al-Razgan, Taha Alfakih, Raheel Nawaz:
Mining the Opinions of Software Developers for Improved Project Insights: Harnessing the Power of Transfer Learning. IEEE Access 12: 65942-65955 (2024) - [j33]Zeeshan Anwar, Hammad Afzal:
Mining crowd sourcing repositories for open innovation in software engineering. Autom. Softw. Eng. 31(1): 11 (2024) - [j32]Muneeba Daud, Hammad Afzal, Khawir Mahmood:
Underwater image enhancement using lightweight vision transformer. Multim. Tools Appl. 83(31): 75603-75625 (2024) - [c19]Sadaf Abdul Rauf, Huda Sarfraz, Saadia Nauman, Arooj Fatima, SadafZiafat SadafZiafat, Momina Ishfaq, Alishba Suboor, Hammad Afzal, Seemab Latif:
NLPColab at FigNews 2024 Shared Task: Challenges in Bias and Propaganda Annotation for News Media. ArabicNLP 2024: 573-579 - [i4]Khawir Mahmood, Jehandad Khan, Hammad Afzal:
Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models. CoRR abs/2404.10162 (2024) - 2023
- [j31]Naureen Zainab, Hammad Afzal, Taher Al-Shehari, Muna S. Al-Razgan, Naima Iltaf, Muhammad Zakria, Muhammad Javed Hyder, Raheel Nawaz:
Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning. IEEE Access 11: 127637-127650 (2023) - [j30]Zeeshan Anwar, Hammad Afzal, Ali Ahsan, Naima Iltaf, Ayesha Maqbool:
A novel hybrid CNN-LSTM approach for assessing StackOverflow post quality. J. Intell. Syst. 32(1) (2023) - [j29]Ramsha Saeed, Hammad Afzal, Sadaf Abdul-Rauf, Naima Iltaf:
Detection of Offensive Language and ITS Severity for Low Resource Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 156:1-156:27 (2023) - [i3]Mubashir Munaf, Hammad Afzal, Naima Iltaf, Khawir Mahmood:
Low Resource Summarization using Pre-trained Language Models. CoRR abs/2310.02790 (2023) - [i2]Haider Kamal, Muaz A. Niazi, Hammad Afzal:
Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem. CoRR abs/2310.05430 (2023) - 2022
- [j28]Bilal Rauf, Haider Abbas, Muhammad Usman, Tanveer A. Zia, Waseem Iqbal, Yawar Abbas Bangash, Hammad Afzal:
Application Threats to Exploit Northbound Interface Vulnerabilities in Software Defined Networks. ACM Comput. Surv. 54(6): 121:1-121:36 (2022) - [j27]Noor Ul Ain Ali, Waseem Iqbal, Hammad Afzal:
Carving of the OOXML document from volatile memory using unsupervised learning techniques. J. Inf. Secur. Appl. 65: 103096 (2022) - [j26]Waleed Bin Shahid, Baber Aslam, Haider Abbas, Hammad Afzal, Saad Bin Khalid:
A deep learning assisted personalized deception system for countering web application attacks. J. Inf. Secur. Appl. 67: 103169 (2022) - [j25]Waleed Bin Shahid, Baber Aslam, Haider Abbas, Saad Bin Khalid, Hammad Afzal:
An enhanced deep learning based framework for web attacks detection, mitigation and attacker profiling. J. Netw. Comput. Appl. 198: 103270 (2022) - [j24]Aleena Nadeem, Muhammad Naveed, Muhammad Islam Satti, Hammad Afzal, Tanveer Ahmad, Ki-Il Kim:
Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data. Sensors 22(24): 9775 (2022) - [j23]Ramsha Saeed, Hammad Afzal, Haider Abbas, Maheen Fatima:
Enriching Conventional Ensemble Learner with Deep Contextual Semantics to Detect Fake News in Urdu. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(1): 6:1-6:19 (2022) - [c18]Joveria Rubab, Hammad Afzal, Waleed Bin Shahid:
A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks. ACIIDS (2) 2022: 77-88 - [c17]Waleed Bin Shahid, Baber Aslam, Haider Abbas, Hammad Afzal, Imran Rashid:
An Ensemble Based Deep Learning Framework to Detect and Deceive XSS and SQL Injection Attacks. ACIIDS (1) 2022: 183-195 - 2021
- [j22]Muhammad Faisal Amjad, Hammad Afzal, Haider Abbas, Abdul B. Subhani:
AdS: An adaptive spectrum sensing technique for survivability under jamming attack in Cognitive Radio Networks. Comput. Commun. 172: 25-34 (2021) - [j21]Marvi Waheed, Hammad Afzal, Khawir Mahmood:
NT-FDS - A Noise Tolerant Fall Detection System Using Deep Learning on Wearable Devices. Sensors 21(6): 2006 (2021) - [c16]Waleed Bin Shahid, Haider Abbas, Baber Aslam, Hammad Afzal, Saad Bin Khalid:
A Framework to Optimize Deep Learning based Web Attack Detection Using Attacker Categorization. EUC 2021: 95-101 - 2020
- [j20]Zafran Khan, Naima Iltaf, Hammad Afzal, Haider Abbas:
DST-HRS: A topic driven hybrid recommender system based on deep semantics. Comput. Commun. 156: 183-191 (2020) - [j19]Kaleem Ullah, Imran Rashid, Hammad Afzal, Mian Muhammad Waseem Iqbal, Yawar Abbas Bangash, Haider Abbas:
SS7 Vulnerabilities - A Survey and Implementation of Machine Learning vs Rule Based Filtering for Detection of SS7 Network Attacks. IEEE Commun. Surv. Tutorials 22(2): 1337-1371 (2020) - [j18]Zafran Khan, Naima Iltaf, Hammad Afzal, Haider Abbas:
Enriching Non-negative Matrix Factorization with Contextual Embeddings for Recommender Systems. Neurocomputing 380: 246-258 (2020) - [j17]Anam Mehtab, Waleed Bin Shahid, Tahreem Yaqoob, Muhammad Faisal Amjad, Haider Abbas, Hammad Afzal, Malik Najmus Saqib:
AdDroid: Rule-Based Machine Learning Framework for Android Malware Analysis. Mob. Networks Appl. 25(1): 180-192 (2020) - [j16]Maham Jahangir, Hammad Afzal, Mehreen Ahmed, Khawar Khurshid, Muhammad Faisal Amjad, Raheel Nawaz, Haider Abbas:
Auto-MeDiSine: an auto-tunable medical decision support engine using an automated class outlier detection method and AutoMLP. Neural Comput. Appl. 32(7): 2621-2633 (2020) - [j15]Mahreen Ahmed, Hammad Afzal, Imran Siddiqi, Muhammad Faisal Amjad, Khawar Khurshid:
Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry. Neural Comput. Appl. 32(8): 3237-3251 (2020) - [j14]Yawar Abbas Bangash, Haider Abbas, Mian Muhammad Waseem Iqbal, Malik Muhammad Zaki Murtaza Khan, Bilal Rauf, Hammad Afzal:
Delay Reduction Through Optimal Controller Placement to Boost Scalability in an SDDC. IEEE Syst. J. 14(3): 4489-4499 (2020)
2010 – 2019
- 2019
- [j13]Raza Yunus, Omar Arif, Hammad Afzal, Muhammad Faisal Amjad, Haider Abbas, Hira Noor Bokhari, Syeda Tazeen Haider, Nauman Zafar, Raheel Nawaz:
A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques. IEEE Access 7: 2643-2652 (2019) - [j12]Sabeen Javaid, Hammad Afzal, Muhammad Babar, Fahim Arif, Zhiyuan Tan, Mian Ahmad Jan:
ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System. IEEE Access 7: 19616-19630 (2019) - [j11]Muhammad Asim Rehmat, Muhammad Faisal Amjad, Mian Muhammad Waseem Iqbal, Hammad Afzal, Haider Abbas, Yin Zhang:
AndroKit: A toolkit for forensics analysis of web browsers on android platform. Future Gener. Comput. Syst. 94: 781-794 (2019) - [j10]Omar Arif, Hammad Afzal, Haider Abbas, Muhammad Faisal Amjad, Jiafu Wan, Raheel Nawaz:
Accelerated Dynamic MRI Using Kernel-Based Low Rank Constraint. J. Medical Syst. 43(8): 271:1-271:11 (2019) - [j9]Zeeshan Anwar, Hammad Afzal, Nazia Bibi, Haider Abbas, Athar Mohsin, Omar Arif:
A hybrid-adaptive neuro-fuzzy inference system for multi-objective regression test suites optimization. Neural Comput. Appl. 31(11): 7287-7301 (2019) - [j8]Rida Zojaj Naeem, Saman Bashir, Muhammad Faisal Amjad, Haider Abbas, Hammad Afzal:
Fog computing in internet of things: Practical applications and future directions. Peer-to-Peer Netw. Appl. 12(5): 1236-1262 (2019) - [j7]Sabeen Javaid, Hammad Afzal, Fahim Arif, Naima Iltaf, Haider Abbas, Mian Muhammad Waseem Iqbal:
CATSWoTS: Context Aware Trustworthy Social Web of Things System. Sensors 19(14): 3076 (2019) - [j6]Saim Bin Abdul Khaliq, Muhammad Faisal Amjad, Haider Abbas, Narmeen Shafqat, Hammad Afzal:
Defence against PUE attacks in ad hoc cognitive radio networks: a mean field game approach. Telecommun. Syst. 70(1): 123-140 (2019) - [c15]Farah Saleem, Naima Iltaf, Hammad Afzal, Mobeena Shahzad:
Using Trust in Collaborative Filtering for Recommendations. WETICE 2019: 214-222 - [c14]Fahad Anwar, Naima Iltaf, Hammad Afzal, Haider Abbas:
A Deep Learning Framework to Predict Rating for Cold Start Item Using Item Metadata. WETICE 2019: 313-319 - 2018
- [j5]Fahad Anwar, Naima Iltaf, Hammad Afzal, Raheel Nawaz:
HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items. J. Comput. Sci. 29: 9-18 (2018) - [j4]Rashid Masood Khan, Mian Muhammad Waseem Iqbal, Muhammad Faisal Amjad, Haider Abbas, Hammad Afzal, Abdul Rauf, Maruf Pasha:
Forensic investigation to detect forgeries in ASF files of contemporary IP cameras. J. Supercomput. 74(10): 5060-5081 (2018) - [c13]Sabeen Javaid, Hammad Afzal, Fahim Arif, Naima Iltaf:
Trust management for SOA based social WoT system. ICACT 2018: 387-392 - [c12]Maryam Jameela, Hammad Afzal, Khawar Khurshid, Asad Waqar Malik:
Crowdsourced System to Report Traffic Violations - RoadCop: Bi-Modular System. VEHITS 2018: 315-322 - [c11]Naeem Amjad, Hammad Afzal, Muhammad Faisal Amjad, Farrukh Aslam Khan:
A Multi-Classifier Framework for Open Source Malware Forensics. WETICE 2018: 106-111 - 2017
- [j3]Mehreen Ahmed, Hammad Afzal, Awais Majeed, Behram Khan:
A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn. Adv. Data Sci. Adapt. Anal. 9(3): 1750007:1-1750007:35 (2017) - [j2]Mahreen Ahmed, Asma Ghulam Rasool, Hammad Afzal, Imran Siddiqi:
Improving handwriting based gender classification using ensemble classifiers. Expert Syst. Appl. 85: 158-168 (2017) - [c10]Komal Khalid, Hammad Afzal, Faiza Moqaddas, Naima Iltaf, Ahmed Muqeem Sheri, Raheel Nawaz:
Extension of Semantic Based Urdu Linguistic Resources Using Natural Language Processing. DASC/PiCom/DataCom/CyberSciTech 2017: 1322-1325 - [i1]Maham Jahangir, Hammad Afzal, Mehreen Ahmed, Khawar Khurshid, Raheel Nawaz:
ECO-AMLP: A Decision Support System using an Enhanced Class Outlier with Automatic Multilayer Perceptron for Diabetes Prediction. CoRR abs/1706.07679 (2017) - 2016
- [c9]Uzair Kamal, Imran Siddiqi, Hammad Afzal, Arif Ur Rahman:
Pashto Sentiment Analysis Using Lexical Features. MedPRAI 2016: 121-124 - [c8]Sunia Malik, Hammad Afzal, Imran Siddiqi, Awais Majeed:
Analyzing Socio-economic and Geographical factors for Crime Incidents using Heat maps and Hotspots. MedPRAI 2016: 144-151 - 2015
- [c7]Anum Kaleem, Awais Majeed, Tamim Ahmed Khan, Hammad Afzal, Faisal Bashir:
Volunteer Reputation evaluation for emergency response operations. ICT-DM 2015: 138-144 - [c6]Mehreen Ahmed, Maham Jahangir, Hammad Afzal, Awais Majeed, Imran Siddiqi:
Using Crowd-Source Based Features from Social Media and Conventional Features to Predict the Movies Popularity. SmartCity 2015: 273-278 - 2014
- [c5]Iqra Javed, Hammad Afzal:
Creation of Bi-lingual Social Network Dataset Using Classifiers. MLDM 2014: 523-533 - [c4]Iqra Javed, Hammad Afzal, Awais Majeed, Behram Khan:
Towards Creation of Linguistic Resources for Bilingual Sentiment Analysis of Twitter Data. NLDB 2014: 232-236 - 2013
- [c3]Iqra Javed, Hammad Afzal:
Opinion analysis of Bi-lingual Event Data from Social Networks. ESSEM@AI*IA 2013: 164-172 - 2011
- [j1]Hammad Afzal, James M. Eales, Robert Stevens, Goran Nenadic:
Mining semantic networks of bioinformatics e-resources from the literature. J. Biomed. Semant. 2(S-1): S4 (2011)
2000 – 2009
- 2009
- [b1]Hammad Afzal:
A Literature-Based Framework for semantic descriptions of E-Science Resources. University of Manchester, UK, 2009 - [c2]Hammad Afzal, Robert Stevens, Goran Nenadic:
Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature. ESWC 2009: 535-549 - [c1]Hammad Afzal, James M. Eales, Robert Stevens, Goran Nenadic:
Mining Semantic Networks of Bioinformatics e-Resources from the Literature. SWAT4LS 2009
Coauthor Index
aka: Muhammad Faisal Amjad
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