H. M. U. Ali, Q. Farooq, A. Imran, and K. El Hindi, “A systematic literature review on sentiment analysis techniques, challenges, and future trends,” Knowledge and Information Systems, pp. 1–68, 2025.
M. O. Cheema, Z. M. U. Din, A. Imran, et al., “Electrohysterogram data augmentation using generative adversarial network for pregnancy outcome prediction,” IEEE Access, 2025.
A. Ikram and A. Imran, “Resvit fusionnet model: An explainable ai-driven approach for automated grading of diabetic retinopathy in retinal images,” Computers in Biology and Medicine, vol. 186, p. 109 656, 2025.
A. Imran, J. Li, and A. Alshammari, “Ai-driven educational transformation in ict: Improving adaptability, sentiment, and academic performance with advanced machine learning,” PLoS One, vol. 20, no. 5, e0317519, 2025.
A. Ishtiaq, J. Z. Gul, Z. M. U. Din, A. Imran, and K. El Hindi, “Wearable regionally trained ai-enabled bruxism-detection system,” IEEE Access, 2025.
T. Kanwal, S. U. Rehman, A. Imran, and H. A. Mahmoud, “Energy-efficient internet of things-based wireless sensor network for autonomous data validation for environmental monitoring.,” Computer Systems Science & Engineering, vol. 49, 2025.
M. S. Shahid and A. Imran, “Breast cancer detection using deep learning techniques: Challenges and future directions,” Multimedia Tools and Applications, vol. 84, no. 6, pp. 3257–3304, 2025.
W. Younas, R. Chen, J. Zhao, T. Iqbal, M. Sharaf, and A. Imran, “Spert: Reinforcement learning-enhanced transformer model for agile story point estimation,” International Journal of Software Engineering and Knowledge Engineering, vol. 35, no. 03, pp. 293–325, 2025.
D. S. Bhatti, S. Saleem, A. Imran, H. J. Kim, K.-I. Kim, and K.-C. Lee, “Detection and isolation of wormhole nodes in wireless ad hoc networks based on post-wormhole actions,” Scientific Reports, vol. 14, no. 1, p. 3428, 2024.
A. Bilal, A. Imran, T. I. Baig, X. Liu, E. Abouel Nasr, and H. Long, “Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization,” Scientific Reports, vol. 14, no. 1, p. 10 714, 2024.
A. Bilal, A. Imran, T. I. Baig, et al., “Deepsvdnet: A deep learning-based approach for detecting and classifying vision-threatening diabetic retinopathy in retinal fundus images,” Computer Systems Science and Engineering, vol. 48, no. 2, pp. 511–528, 2024.
A. Bilal, A. Imran, T. I. Baig, et al., “Improved support vector machine based on cnn-svd for vision-threatening diabetic retinopathy detection and classification,” Plos one, vol. 19, no. 1, e0295951, 2024.
A. Bilal, A. Imran, X. Liu, et al., “Bc-qnet: A quantum-infused elm model for breast cancer diagnosis,” Computers in Biology and Medicine, vol. 175, p. 108 483, 2024.
S. T. Haider, W. Ge, J. Li, et al., “An ensemble machine learning framework for cotton crop yield prediction using weather parameters: A case study of pakistan,” IEEE Access, 2024.
M. U. Hashmi, A. Imran, A. Bilal, M. Garayev, H. Fathi, and S. Dhelim, “Resource-limited skew estimation and correction (rlsec) for edge devices in delay non-tolerant networks,” IEEE Access, 2024.
A. Hassan, A. Imran, A. U. Yasin, M. A. Waqas, and R. Fazal, “A multimodal approach for alzheimer’s disease detection and classification using deep learning,” Journal of Computing & Biomedical Informatics, vol. 6, no. 02, pp. 441–450, 2024.
I. Ihsan, A. Imran, T. Sher, M. B. A. Al-Rawi, M. El-Meligy, and M. S. Pathan, “Graph based covid-19 detection using conditional generative adversarial network,” IEEE Access, 2024.
A. Ikram, A. Imran, J. Li, et al., “A systematic review on fundus image-based diabetic retinopathy detection and grading: Current status and future directions,” IEEE Access, 2024.
A. Q. Khan, G. Sun, M. Khalid, et al., “A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification,” Plos one, vol. 19, no. 5, e0303094, 2024.
S. Latif, M. S. B. Ilyas, A. Imran, H. A. Abosaq, A. Alzubaidi, and V. Karovic Jr, “Machine learning empowered security and privacy architecture for iot networks with the integration of blockchain,” Intelligent Automation & Soft Computing, vol. 39, no. 2, pp. 353–379, 2024.
H. A. Mahmoud, A. Imran, C. A. U. Hassan, and M. A. El-Meligy, “Optimizing accounting information systems with hybrid capsule network and honey badger particle swarm optimization,” IEEE Access, vol. 12, pp. 153 346–153 359, 2024.
S. Shafiq, S. Latif, J. Ibrahim, et al., “Optimizing video data security: A hybrid maes-ecc encryption technique for efficient internet transmission,” PloS one, vol. 19, no. 11, e0311765, 2024.
K. M. A. Alheeti, A. A. A. Lateef, A. Alzahrani, A. Imran, and D. Al_Dosary, “Cloud intrusion detection system based on svm.,” International Journal of Interactive Mobile Technologies, vol. 17, no. 11, 2023.
R. Asad, S. U. Rehman, A. Imran, J. Li, A. Almuhaimeed, and A. Alzahrani, “Computer-aided early melanoma brain-tumor detection using deep-learning approach,” Biomedicines, vol. 11, no. 1, p. 184, 2023.
D. S. Bhatti, S. Saleem, A. Imran, H. Kim, and K.-I. Kim, “Daiwn: Detection and isolation of wormhole nodes in wireless ad hoc networks,” 2023.
A. Hafeez, T. Ali, A. Nawaz, et al., “Addressing imbalance problem for multi label classification of scholarly articles,” IEEE Access, vol. 11, pp. 74 500–74 516, 2023.
B. Kanwal, S. U. Rehman, A. Imran, et al., “Opinion mining from online travel reviews: An exploratory investigation on pakistan major online travel services using natural language processing,” IEEE Access, vol. 11, pp. 29 934–29 945, 2023.
M. W. Karam, A. Imran, A. H. Khan, and S. Idrees, “Navigating emotions across borders: Deep learning-driven location-informed sentiment analysis of twitter,” Lahore Garrison University Research Journal of Computer Science and Information Technology, vol. 7, no. 3, 2023.
S. Latif, X. W. Fang, K. Arshid, A. Almuhaimeed, A. Imran, and M. Alghamdi, “Analysis of birth data using ensemble modeling techniques,” Applied Artificial Intelligence, vol. 37, no. 1, p. 2 158 273, 2023.
M. R. R. Rana, S. U. Rehman, A. Nawaz, et al., “Aspect-based sentiment analysis for social multimedia: A hybrid computational framework,” Computer Systems Science and Engineering, vol. 46, no. 2, pp. 2415–2428, 2023.
S. Ali, S. U. Rehman, A. Imran, G. Adeem, Z. Iqbal, and K.-I. Kim, “Comparative evaluation of ai-based techniques for zero-day attacks detection,” Electronics, vol. 11, no. 23, p. 3934, 2022.
S. Arooj, S. U. Rehman, A. Imran, A. Almuhaimeed, A. K. Alzahrani, and A. Alzahrani, “A deep convolutional neural network for the early detection of heart disease,” Biomedicines, vol. 10, no. 11, p. 2796, 2022.
M. Z. Arshad, H. Rahman, J. Tariq, et al., “Digital forensics analysis of iot nodes using machine learning,” Journal of Computing & Biomedical Informatics, vol. 4, no. 01, pp. 1–12, 2022.
M. S. Baig, A. Imran, A. U. Yasin, A. H. Butt, and M. I. Khan, “Natural language to sql queries: A review,” International Journal of Innovations in Science Technology, vol. 4, pp. 147–162, 2022.
D. S. Bhatti, S. Saleem, A. Imran, et al., “A survey on wireless wearable body area networks: A perspective of technology and economy,” Sensors, vol. 22, no. 20, p. 7722, 2022.
A. Bilal, G. Sun, S. Mazhar, A. Imran, and J. Latif, “A transfer learning and u-net-based automatic detection of diabetic retinopathy from fundus images,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 10, no. 6, pp. 663–674, 2022.
A. Imran, A. Nasir, M. Bilal, G. Sun, A. Alzahrani, and A. Almuhaimeed, “Skin cancer detection using combined decision of deep learners,” ieee Access, vol. 10, pp. 118 198–118 212, 2022.
S. Iqbal, A. Imran, and M. Adnan, “Breast tumor detection using machine learning boosting classifiers,” Journal of Computing & Biomedical Informatics, vol. 4, no. 01, pp. 118–131, 2022.
Z. Iqbal, A. Imran, A. Yasin, and A. Alvi, “Denial of service (dos) defences against adversarial attacks in iot smart home networks using machine learning methods,” NUST Journal of Engineering Sciences, vol. 15, no. 1, pp. 18–25, 2022.
M. Jubeen, H. Rahman, A. U. Rahman, et al., “An automatic breast cancer diagnostic system based on mammographic images using convolutional neural network classifier,” Journal of Computing & Biomedical Informatics, vol. 4, no. 01, pp. 77–86, 2022.
J. Latif, S. Tu, C. Xiao, S. Ur Rehman, A. Imran, and Y. Latif, “Odgnet: A deep learning model for automated optic disc localization and glaucoma classification using fundus images,” SN Applied Sciences, vol. 4, no. 4, p. 98, 2022.
R. Liu, S. Ali, S. F. Bilal, et al., “An intelligent hybrid scheme for customer churn prediction integrating clustering and classification algorithms,” Applied Sciences, vol. 12, no. 18, p. 9355, 2022.
Z. A. Malik, M. Siddiqui, A. Imran, A. U. Yasin, A. H. Butt, and Z. J. Paracha, “Performance evaluation of classification algorithms for intrusion detection on nsl-kdd using rapid miner,” International Journal of Innovations in Science & Technology, vol. 4, no. 1, pp. 135–146, 2022.
I. Murtza, A. Saadia, R. Basri, A. Imran, A. Almuhaimeed, and A. Alzahrani, “Forex investment optimization using instantaneous stochastic gradient ascent—formulation of an adaptive machine learning approach,” Sustainability, vol. 14, no. 22, p. 15 328, 2022.
H. Rahman, T. F. N. Bukht, A. Imran, J. Tariq, S. Tu, and A. Alzahrani, “A deep learning approach forliver and tumor segmentation in ct images using resunet,” Bioengineering, vol. 9, no. 8, p. 368, 2022.
I. Ullah, A. Imran, A. Ashfaq, and M. Adnan, “Exploiting machine learning models for identification ofheart diseases,” Journal of Computing & Biomedical Informatics, vol. 3, no. 02, pp. 1–20, 2022.
A. Imran, J. Li, Y. Pei, F. Akhtar, T. Mahmood, and L. Zhang, “Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network,” The visual computer, vol. 37, no. 8, pp. 2407–2417, 2021.
I. Khan, M. Z. Siddique, A. U. R. Butt, A. I. Mudassir, M. A. Qadir, and S. Munir, “Towards skin cancer classification using machine learning and deep learning algorithms: A comparison,” International Journal of Innovations in Science & Technology, vol. 3, pp. 110–118, 2021.
M. I. Khan, A. Imran, A. H. Butt, A. U. R. Butt, et al., “Activity detection of elderly people using smartphone accelerometer and machine learning methods,” International Journal of Innovations in Science & Technology, vol. 3, no. 4, pp. 186–197, 2021.
T. Mahmood, J. Li, Y. Pei, F. Akhtar, A. Imran, and M. Yaqub, “An automatic detection and localization of mammographic microcalcifications roi with multi-scale features using the radiomics analysis approach,” Cancers, vol. 13, no. 23, p. 5916, 2021.
F. Akhtar, J. Li, Y. Pei, et al., “Diagnosis of large-for-gestational-age infants using a semi-supervised feature learned from expert and data,” Multimedia Tools and Applications, vol. 79, no. 45, pp. 34 047–34 077, 2020.
A. Imran, J. Li, Y. Pei, F. Akhtar, J.-J. Yang, and Y. Dang, “Automated identification of cataract severity using retinal fundus images,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 8, no. 6, pp. 691–698, 2020.
U. Khan, Z. Y. An, and A. Imran, “A blockchain ethereum technology-enabled digital content: Development of trading and sharing economy data,” IEEE access, vol. 8, pp. 217 045–217 056, 2020.
J. Latif, C. Xiao, S. Tu, S. U. Rehman, A. Imran, and A. Bilal, “Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review,” IEEE Access, vol. 8, pp. 150 489–150 513, 2020.
T. Mahmood, F. Akhtar, K. U. Rehman, M. Azeem, A. I. Mudassir, and S. M. Daudpota, “Introducing robustness in dbr routing protocol,” International Journal of Communication Networks and Distributed Systems, vol. 24, no. 3, pp. 316–338, 2020.
T. Mahmood, J. Li, Y. Pei, F. Akhtar, A. Imran, and K. U. Rehman, “A brief survey on breast cancer diagnostic with deep learning schemes using multi-image modalities,” IEEe Access, vol. 8, pp. 165 779–165 809, 2020.
F. Akhtar, J. Li, Y. Pei, et al., “Diagnosis and prediction of large-for-gestational-age fetus using the stacked generalization method,” Applied Sciences, vol. 9, no. 20, p. 4317, 2019.
A. Imran, J. Li, Y. Pei, J.-J. Yang, and Q. Wang, “Comparative analysis of vessel segmentation techniques in retinal images,” IEEE Access, vol. 7, pp. 114 862–114 887, 2019.
F. M. M. Mokbal, W. Dan, A. Imran, L. Jiuchuan, F. Akhtar, and W. Xiaoxi, “Mlpxss: An integrated xss-based attack detection scheme in web applications using multilayer perceptron technique,” IEEE Access, vol. 7, pp. 100 567–100 580, 2019.
Y. Wang, J. Li, S. Hongbo, Y. Li, F. Akhtar, and A. Imran, “A survey on vv&a of large-scale simulations,” International Journal of Crowd Science, vol. 3, no. 1, pp. 63–86, 2019.
A. Imran, M. Faiyaz, and F. Akhtar, “An enhanced approach for quantitative prediction of personality in facebook posts,” International Journal of Education and Management Engineering (IJEME), vol. 8, no. 2, pp. 8–19, 2018.
A. Imran, W. Aslam, and M. Ullah, “Quantitative prediction of offensiveness using text mining of twitter data,” Sindh University Research Journal-SURJ (Science Series), vol. 49, no. 1, 2017.
A. Ikram and A. Imran, “Automated diabetic retinopathy detection with fastdrnet on oct imaging,” in 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC), IEEE, 2025, pp. 1–6.
A. Abbas, A. Alzahrani, A. Imran, A. Almuhaimeed, and A. H. Khan, “A transfer learning based detection and grading of cataract using fundus images,” in 2023 25th International Multitopic Conference (INMIC), IEEE, 2023, pp. 1–6.
A. Ikram and A. Imran, “Review on detection and classification of diabetic retinopathy using fundus images,” in 2023 17th International Conference on Open Source Systems and Technologies (ICOSST), IEEE, 2023, pp. 1–5.
A. Imran, K. M. A. Alheeti, A. Alzahrani, and M. I. Khan, “Sentiment analysis of movie reviews using improved word2vec and cnn,” in 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), IEEE, 2023, pp. 297–302.
A. Imran, M. Fahim, A. Alzahrani, S. Fahim, K. M. A. Alheeti, and S. U. Rehman, “Twitter sentimental analysis using machine learning approaches for semeval dataset,” in 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC), IEEE, 2023, pp. 1–6.
I. U. Khan, Z. A. Khan, M. Ahmad, et al., “Machine learning techniques for permission-based malware detection in android applications,” in 2023 9th International Conference on Information Technology Trends (ITT), IEEE, 2023, pp. 7–13.
A. Abbas, A. Imran, A. A. N. Al-Aloosy, S. Fahim, A. Alzahrani, and S. K. Muzaffar, “Heart failure prediction using machine learning approaches,” in 2022 Mohammad Ali Jinnah University International Conference on Computing (MAJICC), IEEE, 2022, pp. 1–7.
A. Ashfaq, A. Imran, I. Ullah, A. Alzahrani, K. M. A. Alheeti, and A. Yasin, “Multi-model ensemble based approach for heart disease diagnosis,” in 2022 International Conference on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS), IEEE, 2022, pp. 1–8.
S. Fahim, A. Imran, A. Alzahrani, M. Fahim, K. M. A. Alheeti, and M. Alfateh, “Twitter sentiment analysis based public emotion detection using machine learning algorithms,” in 2022 17th International Conference on Emerging Technologies (ICET), IEEE, 2022, pp. 107–112.
M. A. Hafeez, A. Imran, M. I. Khan, A. H. Khan, A. Nawaz, and S. Ahmed, “Diagnosis of liver disease induced by hepatitis virus using machine learning methods,” in 2022 8th International Conference on Information Technology Trends (ITT), IEEE, 2022, pp. 154–159.
M. W. Karam, A. Imran, A. Alzahrani, K. M. A. Alheeti, A. Abbas, and A. A. N. Al-Aloosy, “Dramatic increase in fear-related discussion on twitter during covid-19: Analysis, topic modeling and tweets classification,” in 2022 International Conference on Electrical Engineering and Sustainable Technologies (ICEEST), IEEE, 2022, pp. 1–8.
M. I. Khan, Z. A. Khan, A. Imran, A. H. Khan, and S. Ahmed, “Student performance prediction in secondary school education using machine learning,” in 2022 8th International Conference on Information Technology Trends (ITT), IEEE, 2022, pp. 94–101.
F. Akhtar, J. Li, P. Yan, A. Imran, G. M. Shaikh, and C. Xu, “Exploiting ensemble classification schemes to improve prognosis process for large for gestational age fetus classification,” in 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), IEEE, 2020, pp. 1455–1459.
M. Z. Azeem, A. Imran, F. Akhtar, A. Wajahat, J. Latif, and S. A. Memon, “Effects of code cloning in mobile applications,” in 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), IEEE, 2020, pp. 1–6.
M. Sohail, A. Imran, H. U. Rehman, and M. Salman, “Anti-social behavior detection in urdu language posts of social media,” in 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), IEEE, 2020, pp. 1–7.
T. Zhang, X. Zhu, Y. Liu, K. Zhang, and A. Imran, “Deep learning based classification for tomato diseases recognition,” in IOP Conference Series: Earth and Environmental Science, IOP Publishing, vol. 474, 2020, p. 032 014.
A. Imran, J. Li, Y. Pei, F. Akhtar, J.-J. Yang, and Q. Wang, “Cataract detection and grading with retinal images using som-rbf neural network,” in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2019, pp. 2626–2632.
A. Imran, J. Li, Y. Pei, F. M. Mokbal, J.-J. Yang, and Q. Wang, “Enhanced intelligence using collective data augmentation for cnn based cataract detection,” in International Conference on Frontier Computing, Springer Singapore Singapore, 2019, pp. 148–160.
J. Latif, C. Xiao, A. Imran, and S. Tu, “Medical imaging using machine learning and deep learning algorithms: A review,” in 2019 2nd International conference on computing, mathematics and engineering technologies (iCoMET), IEEE, 2019, pp. 1–5.
A. Wajahat, A. Imran, J. Latif, A. Nazir, and A. Bilal, “A novel approach of unprivileged keylogger detection,” in 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), IEEE, 2019, pp. 1–6.
F. Akhtar, J. Li, Y. Guan, A. Imran, and M. Azeem, “Monitoring bio-chemical indicators using machine learning techniques for an effective large for gestational age prediction model with reduced computational overhead,” in International Conference on Frontier Computing, Springer Singapore Singapore, 2018, pp. 130–137.
J. Li, Q. Hu, A. Imran, L. Zhang, J.-j. Yang, and Q. Wang, “Vessel recognition of retinal fundus images based on fully convolutional network,” in 2018 IEEE 42nd annual computer software and applications conference (COMPSAC), IEEE, vol. 2, 2018, pp. 413–418.
J. Li, X. Xu, Y. Guan, et al., “Automatic cataract diagnosis by image-based interpretability,” in 2018 IEEE international conference on systems, man, and cybernetics (SMC), IEEE, 2018, pp. 3964–3969.
S. Ijaz, M. I. Lali, B. Shahzad, A. Imran, and S. Tiwana, “Biasness identification of talk show’s host by using twitter data,” in 2017 13th International Conference on Emerging Technologies (ICET), IEEE, 2017, pp. 1–6.
A. Bilal, G. Sun, S. Mazhar, and A. Imran, “Improved grey wolf optimization-based feature selection and classification using CNN for diabetic retinopathy detection,” in Evolutionary computing and mobile sustainable networks: proceedings of ICECMSN 2021, Springer Singapore Singapore, 2022, pp. 1–14.