Hammad Afzal
Orcid: 0000-0001-9583-5585
According to our database1,
Hammad Afzal
authored at least 53 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Autom. Softw. Eng., June, 2024
Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm.
IEEE Access, 2024
2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023
CoRR, 2023
Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning.
IEEE Access, 2023
2022
Enriching Conventional Ensemble Learner with Deep Contextual Semantics to Detect Fake News in Urdu.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data.
Sensors, 2022
An enhanced deep learning based framework for web attacks detection, mitigation and attacker profiling.
J. Netw. Comput. Appl., 2022
A deep learning assisted personalized deception system for countering web application attacks.
J. Inf. Secur. Appl., 2022
Carving of the OOXML document from volatile memory using unsupervised learning techniques.
J. Inf. Secur. Appl., 2022
Application Threats to Exploit Northbound Interface Vulnerabilities in Software Defined Networks.
ACM Comput. Surv., 2022
An Ensemble Based Deep Learning Framework to Detect and Deceive XSS and SQL Injection Attacks.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022
A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022
2021
NT-FDS - A Noise Tolerant Fall Detection System Using Deep Learning on Wearable Devices.
Sensors, 2021
AdS: An adaptive spectrum sensing technique for survivability under jamming attack in Cognitive Radio Networks.
Comput. Commun., 2021
A Framework to Optimize Deep Learning based Web Attack Detection Using Attacker Categorization.
Proceedings of the 19th IEEE International Conference on Embedded and Ubiquitous Computing, 2021
2020
Delay Reduction Through Optimal Controller Placement to Boost Scalability in an SDDC.
IEEE Syst. J., 2020
Auto-MeDiSine: an auto-tunable medical decision support engine using an automated class outlier detection method and AutoMLP.
Neural Comput. Appl., 2020
Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry.
Neural Comput. Appl., 2020
Mob. Networks Appl., 2020
Enriching Non-negative Matrix Factorization with Contextual Embeddings for Recommender Systems.
Neurocomputing, 2020
SS7 Vulnerabilities - A Survey and Implementation of Machine Learning vs Rule Based Filtering for Detection of SS7 Network Attacks.
IEEE Commun. Surv. Tutorials, 2020
Comput. Commun., 2020
2019
Defence against PUE attacks in ad hoc cognitive radio networks: a mean field game approach.
Telecommun. Syst., 2019
Peer-to-Peer Netw. Appl., 2019
A hybrid-adaptive neuro-fuzzy inference system for multi-objective regression test suites optimization.
Neural Comput. Appl., 2019
J. Medical Syst., 2019
Future Gener. Comput. Syst., 2019
A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques.
IEEE Access, 2019
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019
2018
J. Supercomput., 2018
HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items.
J. Comput. Sci., 2018
Proceedings of the 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2018
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018
Proceedings of the 20th International Conference on Advanced Communication Technology, 2018
2017
Expert Syst. Appl., 2017
ECO-AMLP: A Decision Support System using an Enhanced Class Outlier with Automatic Multilayer Perceptron for Diabetes Prediction.
CoRR, 2017
Adv. Data Sci. Adapt. Anal., 2017
Extension of Semantic Based Urdu Linguistic Resources Using Natural Language Processing.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
2016
Analyzing Socio-economic and Geographical factors for Crime Incidents using Heat maps and Hotspots.
Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2016
Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2016
2015
Using Crowd-Source Based Features from Social Media and Conventional Features to Predict the Movies Popularity.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015
Proceedings of the 2nd International Conference on Information and Communication Technologies for Disaster Management, 2015
2014
Towards Creation of Linguistic Resources for Bilingual Sentiment Analysis of Twitter Data.
Proceedings of the Natural Language Processing and Information Systems, 2014
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014
2013
Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013
2011
J. Biomed. Semant., 2011
2009
PhD thesis, 2009
Proceedings of the Semantic Web: Research and Applications, 2009