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| 194 | -- | 213 | Nameirakpam Dhanachandra, Yambem Jina Chanu, Kh. Manglem Singh. A new hybrid image segmentation approach using clustering and black hole algorithm |
| 214 | -- | 224 | Manikandan R. P. S., A. M. Kalpana. Big data feature selection using fish and frog optimization |
| 225 | -- | 257 | Ahmed Shihab Albahri, Aws Alaa Zaidan, Hassan A. Alsattar, Rula A. Hamid, Osamah Shihab Albahri, Sarah Qahtan, Abdullah Hussein Alamoodi. Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T-spherical fuzzy-weighted zero-inconsistency method |
| 258 | -- | 282 | Arul Antran Vijay Subramanian, Jothi Prakash Venugopal. A deep ensemble network model for classifying and predicting breast cancer |
| 283 | -- | 314 | Sulin Wang, Chengqiang Zhao, Lingling Huang, Yuanwei Li, Ruochen Li. Current status, application, and challenges of the interpretability of generative adversarial network models |
| 315 | -- | 343 | Ayokunle Olalekan Ige, Mohd Halim Mohd Noor. A lightweight deep learning with feature weighting for activity recognition |
| 344 | -- | 368 | Qi Dai, Jian-Wei Liu, Jiapeng Yang. Multi-armed bandit heterogeneous ensemble learning for imbalanced data |
| 369 | -- | 400 | Sanjib Roy, Ayan Kumar Das. Deep-CoV: An integrated deep learning model to detect COVID-19 using chest X-ray and CT images |