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DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.

, , , , , , , and . Comput. Biol. Medicine, (2022)

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DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins., , , , , , , and . Comput. Biol. Medicine, (2022)Performance Improvement of PAPR Reduction for OFDM Signal In LTE System., and . CoRR, (2014)PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques., , , , , , and . Briefings Bioinform., (2021)Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach., , , , and . ICCA, page 316-322. ACM, (2022)ICAS: Two-factor identity-concealed authentication scheme for remote-servers., , , , , and . J. Syst. Archit., (2021)Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction., , , and . ICCCNT, page 1-6. IEEE, (2019)Receiving & Processing of High-Speed Data in Digital Storage Oscilloscope (DSO)., , , , and . ICCA, page 478-484. ACM, (2022)PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors., , , , , and . MIET (1), volume 490 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 109-121. Springer, (2022)StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images., , , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (8): 101647 (September 2023)Machine Learning Based Unified Framework for Diabetes Prediction., , , , and . BDET, page 46-50. ACM, (2018)