Publications

International Journal Publications

Total Impact Factor (According to JCR 2022):  65.543

1. Irfan, M., Ayub, N., el al. (2023). AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm. Electronics, 12(6), 1298.

2. Almazroi, A. A., & Ayub, N. (2023). Multi-task Learning for Electricity Price Forecasting and Resource Management in Cloud based Industrial IoT Systems. IEEE Access.

3. Khalid, A., Badshah, G., Ayub, N., el al. (2023). Software Defect Prediction Analysis Using Machine Learning Techniques. Sustainability, 15(6), 5517.

4. Ayub, N., el al. (2022). Predictive Data Analytics for Electricity Fraud Detection Using Tuned CNN Ensembler in Smart Grid. Forecasting, 4(4), 936-948.

5. Irfan, M., Ul Hassan, C. A., Althobiani, F., Ayub, N., el al. (2023). Power Scheduling with Max User Comfort in Smart Home: Performance Analysis and Tradeoffs. Computer Systems Science & Engineering, 46(2).

6. Hassan, C. A. U., Iqbal, J., Ayub, N., el al. (2022). Smart grid energy optimization and scheduling appliances priority for residential buildings through meta-heuristic hybrid approaches. Energies, 15(5), 1752.

7. Irfan, M., Ayub, N., el al. (2022). Energy theft identification using AdaBoost Ensembler in the Smart Grids. CMC-Computers, Materials & Continua, 1(72), 2141-2158.

8. Irfan, M., Raza, A., Althobiani, F., Ayub, N., el al. (2022). Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method. Computers, Materials & Continua, 72(3).

9. Aurangzeb, K., Ayub, N., el al. (2021). Aspect based multi-labeling using SVM based ensembler. IEEE Access, 9, 26026-26040.

10. Tahirkheli, A. I., Shiraz, M., Hayat, B., Idrees, M., Sajid, A., Ullah, Ayub, N. el al. (2021). A survey on modern cloud computing security over smart city networks: Threats, vulnerabilities, consequences, countermeasures, and challenges. Electronics, 10(15), 1811.

11. Ali, A., Ayub, N., Shiraz, M., el al. (2021). Traffic efficiency models for urban traffic management using mobile crowd sensing: A survey. Sustainability, 13(23), 13068.

12. Almazroi, A. A., & Ayub, N. (2021). A novel method CNN-LSTM ensembler based on Black Widow and Blue Monkey Optimizer for electricity theft detection. IEEE Access, 9, 141154-141166.

13. Aslam, S., Ayub, N., el al. (2021). Towards electric price and load forecasting using cnn-based ensembler in smart grid. Sustainability, 13(22), 12653.

14. Akram, R., Ayub, N., el al. (2021). Towards big data electricity theft detection based on improved rusboost classifiers in smart grid. Energies, 14(23), 8029.

15. Albahli, S., Ayub, N., & Shiraz, M. (2021). Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet. Applied Soft Computing, 110, 107645.

16. Ahmad, W., Ayub, N., el al. (2020). Towards short term electricity load forecasting using improved support vector machine and extreme learning machine. Energies, 13(11), 2907.

17. Ayub, N., el al. (2020). Big data analytics for short and medium-term electricity load forecasting using an AI techniques ensembler. Energies, 13(19), 5193.

18. Albahli, S., Shiraz, M., & Ayub, N. (2020). Electricity price forecasting for cloud computing using an enhanced machine learning model. IEEE Access, 8, 200971-200981.

Conference Publications

1. Raza, A., Ali, U., Ali, Z., Saeed, M. H., Khan, R. J. U. H., & Ayub, N. (2023, January). Residential Electricity Power Forecasting using GRU-based CNN and SAE Ensembler. In 2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T) (pp. 1-6). IEEE.

2. Ayub, N., Aurangzeb, K., Awais, M., & Ali, U. (2020, November). Electricity theft detection using CNN-GRU and manta ray foraging optimization algorithm. In 2020 IEEE 23Rd international multitopic conference (INMIC) (pp. 1-6). IEEE.

3. Aslam, S., Herodotou, H., Ayub, N., & Mohsin, S. M. (2019, December). Deep learning based techniques to enhance the performance of microgrids: A review. In 2019 International Conference on Frontiers of Information Technology (FIT) (pp. 116-1165). IEEE.

4. Ali, M., Khan, Z. A., Mujeeb, S., Abbas, S., Ayub, N., Javaid, N. (2019, November). Short-term electricity price and load forecasting using enhanced support vector machine and K-nearest neighbor. In 2019 Sixth HCT Information Technology Trends (ITT) (pp. 79-83). IEEE.

5. Ayub, N., Javaid, N., Mujeeb, S., Zahid, M., Khan, W. Z., & Khattak, M. U. (2020). Electricity load forecasting in smart grids using support vector machine. In Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019) 33 (pp. 1-13). Springer International Publishing.

6. Aimal, S., Javaid, N., Rehman, A., Ayub, N., Sultana, T., & Tahir, A. (2019). Data analytics for electricity load and price forecasting in the smart grid. In Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019) 33 (pp. 582-591). Springer International Publishing.

7. Ayub, N., Javaid, N., Abbas, A., Ishaq, A., Yousaf, A., & Ishtiaq, M. A. (2019). Demand Side Management scheduling of appliances using Meta heuristic algorithms. In Advances on Broadband and Wireless Computing, Communication and Applications: Proceedings of the 13th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2018) (pp. 405-417). Springer International Publishing.

8. Ayub, N., Ishaq, A., Ali, M., Sarwar, M. A., Amin, B., & Javaid, N. (2018). An efficient scheduling of power and appliances using metaheuristic optimization technique. In Advances in Intelligent Networking and Collaborative Systems: The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017) (pp. 178-190). Springer International Publishing.

9. Ishaq, A., Ayub, N., Saba, A., Ghafar, A., Amin, B., & Javaid, N. (2018). An efficient scheduling using meta heuristic algorithms for home demand-side management in smart grid. In Advances in Intelligent Networking and Collaborative Systems: The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017) (pp. 214-227). Springer International Publishing.

10. Ali, M., Abid, S., Ghafar, A., Ayub, N., Arshad, H., Khan, S., & Javaid, N. (2018). Earth worm optimization for home energy management system in smart grid. In Advances on Broad-Band Wireless Computing, Communication and Applications: Proceedings of the 12th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2017) (pp. 583-596). Springer International Publishing.

11. Sarwar, M. A., Amin, B., Ayub, N., Faraz, S. H., Khan, S. U. R., & Javaid, N. (2018). Scheduling of appliances in home energy management system using elephant herding optimization and enhanced differential evolution. In Advances in Intelligent Networking and Collaborative Systems: The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017) (pp. 132-142). Springer International Publishing.

12. Amin, B., Khalid, A., Sarwar, M. A., Ghaffar, A., Satti, A., Ayub, N., & Javaid, N. (2018). Real time pricing based appliance scheduling in home energy management using optimization techniques. In Advances on Broad-Band Wireless Computing, Communication and Applications: Proceedings of the 12th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2017) (pp. 3-13). Springer International Publishing.