Sajid Anwar
Orcid: 0000-0003-3393-1656Affiliations:
- Institute of Management Sciences, Department of Computer Science, Center for Excellence in Information Technology, Peshawar, Pakistan
- University of NUCES-FAST, Department of software engineering, Pakistan (PhD 2011)
According to our database1,
Sajid Anwar authored at least 52 papers
between 2010 and 2026.
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Bibliography
2026
Secure Over the Air and Logging in Smart Devices via Blockchain Evaluation: Blockchain Protocols for Intelligent Consumer Electronics Security.
IEEE Consumer Electron. Mag., July, 2026
Empowering Trust in Digital Platforms: Sentiment Analysis and Emotion AI for Fake Reviews Detection.
IEEE Trans. Comput. Soc. Syst., June, 2026
ACM Trans. Web, February, 2026
Multi-sensor data fusion for smart healthcare: optimizing specialty-based classification of imbalanced EMRs.
Inf. Fusion, 2026
2025
Deepvoc: a linked open vocabulary for reproducible and reliable deep learning experiments.
Int. J. Mach. Learn. Cybern., November, 2025
Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency.
Ann. Oper. Res., October, 2025
AI-Enhanced Differential Privacy Architecture for Securing Consumer Internet of Things (CIoT) Data.
IEEE Trans. Consumer Electron., May, 2025
Graph attention-based neural collaborative filtering for item-specific recommendation system using knowledge graph.
Expert Syst. Appl., 2025
Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques.
Complex Intell. Syst., 2025
2024
ACM Trans. Multim. Comput. Commun. Appl., November, 2024
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation.
ACM Trans. Intell. Syst. Technol., August, 2024
Discovering the Correlation Between Phishing Susceptibility Causing Data Biases and Big Five Personality Traits Using C-GAN.
IEEE Trans. Comput. Soc. Syst., August, 2024
Knowledge Graph-Based Convolutional Network Coupled With Sentiment Analysis Towards Enhanced Drug Recommendation.
IEEE Trans. Comput. Biol. Bioinform., 2024
2023
Cyber security and beyond: Detecting malware and concept drift in AI-based sensor data streams using statistical techniques.
Comput. Electr. Eng., May, 2023
Special issue on towards advancements in machine learning for exploiting large-scale and heterogeneous repositories.
Neural Comput. Appl., April, 2023
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023
2022
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
On finding optimum commuting path in a road network: A computational approach for smart city traveling.
Trans. Emerg. Telecommun. Technol., 2022
Trans. Emerg. Telecommun. Technol., 2022
2021
Integrity verification and behavioral classification of a large dataset applications pertaining smart OS via blockchain and generative models.
Expert Syst. J. Knowl. Eng., 2021
2020
J. Supercomput., 2020
Countering Malicious URLs in Internet of Things Using a Knowledge-Based Approach and a Simulated Expert.
IEEE Internet Things J., 2020
Power maximisation technique for generating secret keys by exploiting physical layer security in wireless communication.
IET Commun., 2020
J. Grid Comput., 2020
Static malware detection and attribution in android byte-code through an end-to-end deep system.
Future Gener. Comput. Syst., 2020
Conceptualization of smartphone usage and feature preferences among various demographics.
Clust. Comput., 2020
2019
Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods.
Int. J. Inf. Manag., 2019
Compromised user credentials detection in a digital enterprise using behavioral analytics.
Future Gener. Comput. Syst., 2019
The journal of knowledge engineering special issue on WorldCist'17 - fifth world conference on information systems and technologies.
Expert Syst. J. Knowl. Eng., 2019
IEEE Access, 2019
Proceedings of the New Knowledge in Information Systems and Technologies, 2019
Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019
2018
Clust. Comput., 2018
Beyond Beall's Blacklist: Automatic Detection of Open Access Predatory Research Journals.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Customer churn prediction in the telecommunication sector using a rough set approach.
Neurocomputing, 2017
Compromised User Credentials Detection Using Temporal Features: A Prudent Based Approach.
Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017
2016
Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study.
IEEE Access, 2016
2015
Proceedings of the New Trends in Computational Collective Intelligence, 2015
J. Intell. Fuzzy Syst., 2015
A Comparison of Two Oversampling Techniques (SMOTE vs MTDF) for Handling Class Imbalance Problem: A Case Study of Customer Churn Prediction.
Proceedings of the New Contributions in Information Systems and Technologies, 2015
Proceedings of the Beyond Databases, Architectures and Structures, 2015
2014
Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example.
Proceedings of the 2014 European Network Intelligence Conference, 2014
2013
Multim. Tools Appl., 2013
2012
Project scheduling conflict identification and resolution using genetic algorithms (GA).
Telecommun. Syst., 2012
2010
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010
Proceedings of the Contemporary Computing - Third International Conference, 2010