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Priyadarshini Adyasha Pattanaik
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2020 – today
- 2023
- [j9]Waseem Abbass
, Riaz Hussain
Channel Allocation to GAA Users Using Double Deep Recurrent Q-Learning Based on Double Auction Method. IEEE Access 11: 117321-117340 (2023) - 2022
- [j8]Priyadarshini Adyasha Pattanaik
Malaria detection using deep residual networks with mobile microscopy. J. King Saud Univ. Comput. Inf. Sci. 34(5): 1700-1705 (2022) - [j7]Dimple Nagpal
A review of diabetic retinopathy: Datasets, approaches, evaluation metrics and future trends. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7138-7152 (2022) - 2021
- [j6]Priyadarshini Adyasha Pattanaik
Deep filter bridge for malaria identification and classification in microscopic blood smear images. Int. J. Adv. Intell. Paradigms 20(1/2): 126-137 (2021) - [j5]Abdulfattah Noorwali
A Novel QoS-Oriented Intrusion Detection Mechanism for IoT Applications. Wirel. Commun. Mob. Comput. 2021: 9962697:1-9962697:10 (2021) - 2020
- [j4]Priyadarshini Adyasha Pattanaik
Unsupervised Deep Learning CAD Scheme for the Detection of Malaria in Blood Smear Microscopic Images. IEEE Access 8: 94936-94946 (2020) - [j3]Chiranji Lal Chowdhary
An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm. Sensors 20(14): 3903 (2020)
2010 – 2019
- 2019
- [j2]Priyadarshini Adyasha Pattanaik
Vision-based malaria parasite image analysis: a systematic review. Int. J. Bioinform. Res. Appl. 15(1): 1-32 (2019) - [i1]Priyadarshini Adyasha Pattanaik, Zelong Wang, Patrick Horain
Deep CNN frameworks comparison for malaria diagnosis. CoRR abs/1909.02829 (2019) - 2018
- [j1]Priyadarshini Adyasha Pattanaik
Comparative Analysis of Morphological Techniques for Malaria Detection. Int. J. Heal. Inf. Syst. Informatics 13(4): 49-65 (2018) - 2017
- [c2]Priyadarshini Adyasha Pattanaik
Object detection technique for malaria parasite in thin blood smear images. BIBM 2017: 2120-2123 - [c1]Subhalaxmi Panda, Priyadarshini Adyasha Pattanaik, Tripti Swarnkar:
A Higher Education Predictive Model Using Data Mining Techniques. DIAS/EDUDM@ISEC 2017
Coauthor Index
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