Rafique, A. A., Al-Rasheed, A., Ksibi, A., Ayadi, M., Jalal, A., Alnowaiser, K., ... & Park, J.
Smart Traffic Monitoring through Pyramid Pooling Vehicle Detection and Filter-based Tracking on Aerial Images
Smart Traffic Monitoring through Pyramid Pooling Vehicle Detection and Filter-based Tracking on Aerial Images. IEEE Access, (2023) |
2023 |
10.1109/ACCESS.2023.3234281 |
Ghadi, Y. Y., Rafique, A. A., Al Shloul, T., Alsuhibany, S. A., Jalal, A., & Park, J.
Robust object categorization and Scene classification over remote sensing images via features fusion and fully convolutional network
Robust Object Categorization and Scene Classification Over Remote Sensing Images via Features Fusion and Fully Convolutional Network. Remote Sensing, 14(7), 1550. |
2022 |
10.3390/rs14071550 |
Kanwal, S., Asghar, S., Hussain, A., & Rafique, A.
Identifying the evidence of speech emotional dialects using artificial intelligence: A cross-cultural study
Identifying the evidence of speech emotional dialects using artificial intelligence: A cross-cultural study (PLoS ONE) |
2022 |
https://doi.org/10.1371/journal.pone.0265199 |
Rafique, A. A., Ghadi, Y. Y., Alsuhibany, S. A., Chelloug, S. A., Jalal, A., & Park, J.
CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition
CNN based Multi-Object Segmentation and Feature Fusion for Scene Recognition (CMC) |
2022 |
https://doi.org/10.32604/cmc.2022.027720 |
Rafique, A. A., Gochoo, M., Jalal, A., & Kim, K.
Maximum entropy scaled super pixels segmentation for multi-object detection and scene recognition via deep belief network
Maximum Entropy Scaled Super Pixels Segmentation
for Multi-object Detection and Scene Recognition via
Deep Belief Network (Multimedia Tools and Applications) |
2022 |
10.1007/s11042-022-13717-y |
Jalal, A., Ahmed, A., Rafique, A. A., & Kim, K.
Scene Semantic recognition based on modified Fuzzy c-mean and maximum entropy using object-to-object relations
Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations. IEEE Access, 9, 27758-27772. |
2021 |
10.1109/ACCESS.2021.3058986 |
Rafique, A. A., Jalal, A., & Kim, K.
Automated sustainable multi-object segmentation and recognition via modified sampling consensus and kernel sliding perceptron
Automated Sustainable Multi-Object Segmentation and Recognition via Modified Sampling Consensus and Kernel Sliding Perceptron (Symmetry), . Symmetry, 12(11), 1928. |
2020 |
10.3390/sym12111928 |
Rafique, A. A., Jalal, A., & Kim, K.
Statistical multi-objects segmentation for indoor/outdoor scene detection and classification via depth images
Multi-Objects Segmentation for Indoor/Outdoor Scene Detection and Classification via Depth Images (IBCAST 2020), In 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 271-276). IEEE. |
2020 |
10.1109/IBCAST47879.2020.9044576 |
Rafique, A. A., Jalal, A., & Ahmed, A.
Scene understanding and recognition: statistical segmented model using geometrical features and Gaussian naïve bayes
Scene Understanding and Recognition: Statistical Segmented Model using Geometrical Features and Gaussian Naïve Bayes (ICAEM), . In IEEE conference on International Conference on Applied and Engineering Mathematics (Vol. 57). |
2019 |
10.1109/ICAEM.2019.8853721 |
Ahmed, A., Jalal, A., & Rafique, A. A.
Salient segmentation based object detection and recognition using hybrid genetic transform
Salient Segmentation based Object Detection and Recognition using Hybrid Genetic Transform (ICAEM 2019), . In 2019 International Conference on Applied and Engineering Mathematics (ICAEM) (pp. 203-208). IEEE. |
2019 |
10.1109/ICAEM.2019.8853834 |
Nazeer, O., Javaid, N., Rafique, A. A., Kiani, S., Javaid, Y., & Khurshid, Z.
Home energy management using hybrid meta-heuristic optimization technique
In Innovative Mobile and Internet Services in Ubiquitous Computing: Proceedings of the 12th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2018) (pp. 599-609). Springer International Publishing. |
2019 |
10.1007/978-3-319-93554-6_58 |