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Jyotismita Chaki
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2020 – today
- 2024
- [j22]Jyotismita Chaki, Aysegül Uçar:
An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection. IEEE Access 12: 32894-32910 (2024) - [j21]Jyotismita Chaki, Marcin Wozniak:
Deep Learning and Artificial Intelligence in Action (2019-2023): A Review on Brain Stroke Detection, Diagnosis, and Intelligent Post-Stroke Rehabilitation Management. IEEE Access 12: 52161-52181 (2024) - [j20]Jyotismita Chaki, Dibyajyoti Ghosh:
Deep Learning in Leaf Disease Detection (2014-2024): A Visualization-Based Bibliometric Analysis. IEEE Access 12: 95291-95308 (2024) - 2023
- [j19]Jyotismita Chaki, Marcin Wozniak:
Brain Tumor Categorization and Retrieval Using Deep Brain Incep Res Architecture Based Reinforcement Learning Network. IEEE Access 11: 130584-130600 (2023) - [j18]Zubair Atha, Jyotismita Chaki:
SSBTCNet: Semi-Supervised Brain Tumor Classification Network. IEEE Access 11: 141485-141499 (2023) - [j17]Jyotismita Chaki, Marcin Wozniak:
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review. Biomed. Signal Process. Control. 80(Part): 104223 (2023) - [j16]Jyotismita Chaki, Marcin Wozniak:
A deep learning based four-fold approach to classify brain MRI: BTSCNet. Biomed. Signal Process. Control. 85: 104902 (2023) - [j15]Shubh Almal, Apoorva Reddy Bagepalli, Prajjwal Dutta, Jyotismita Chaki:
Healthy-unhealthy animal detection using semi-supervised generative adversarial network. PeerJ Comput. Sci. 9: e1250 (2023) - [j14]Jyotismita Chaki:
An automatic system for extracting figure-caption pair from medical documents: a six-fold approach. PeerJ Comput. Sci. 9: e1452 (2023) - 2022
- [j13]Jyotismita Chaki, S. Thillai Ganesh, S. K. Cidham, S. Ananda Theertan:
Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3204-3225 (2022) - [j12]Jyotismita Chaki:
Two-fold brain tumor segmentation using fuzzy image enhancement and DeepBrainet2.0. Multim. Tools Appl. 81(21): 30705-30731 (2022) - 2021
- [j11]Jyotismita Chaki:
Shadow detection from images using fuzzy logic and PCPerturNet. IET Image Process. 15(10): 2384-2397 (2021) - [j10]Jyotismita Chaki, Nilanjan Dey:
Palmprint Recognition Using Hessian Matrix and Two-Component Partition Method. Int. J. Digit. Crime Forensics 13(1): 26-47 (2021) - [j9]Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey:
Fundamentals, present and future perspectives of speech enhancement. Int. J. Speech Technol. 24(4): 883-901 (2021) - [j8]Jyotismita Chaki:
Pattern analysis based acoustic signal processing: a survey of the state-of-art. Int. J. Speech Technol. 24(4): 913-955 (2021) - [j7]Md. Nawab Yousuf Ali, Md. Lizur Rahman, Jyotismita Chaki, Nilanjan Dey, KC Santosh:
Machine translation using deep learning for universal networking language based on their structure. Int. J. Mach. Learn. Cybern. 12(8): 2365-2376 (2021) - 2020
- [j6]Jyotismita Chaki, Nilanjan Dey, Bijaya K. Panigrahi, Fuqian Shi, Simon James Fong, R. Simon Sherratt:
Pattern Mining Approaches Used in Social Media Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(Supplement-2): 123-152 (2020) - [j5]Jyotismita Chaki, Ranjan Parekh, Samar Bhattacharya:
Plant leaf classification using multiple descriptors: A hierarchical approach. J. King Saud Univ. Comput. Inf. Sci. 32(10): 1158-1172 (2020) - [j4]Jyotismita Chaki, Nilanjan Dey:
Pattern analysis of genetics and genomics: a survey of the state-of-art. Multim. Tools Appl. 79(15-16): 11163-11194 (2020) - [j3]Gitanjali Rahul Shinde, Asmita B. Kalamkar, Parikshit N. Mahalle, Nilanjan Dey, Jyotismita Chaki, Aboul Ella Hassanien:
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art. SN Comput. Sci. 1(4): 197 (2020) - [p1]Nabanita Das, Atreyee Mondal, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey:
Machine Learning Models for Bird Species Recognition Based on Vocalization: A Succinct Review. Information Technology and Intelligent Transportation Systems 2020: 117-124
2010 – 2019
- 2019
- [j2]Md. Nawab Yousuf Ali, Md. Golam Sarowar, Md. Lizur Rahman, Jyotismita Chaki, Nilanjan Dey, João Manuel R. S. Tavares:
Adam Deep Learning With SOM for Human Sentiment Classification. Int. J. Ambient Comput. Intell. 10(3): 92-116 (2019) - 2018
- [c3]Jyotismita Chaki, Nilanjan Dey, V. Rajinikanth, Amira S. Ashour, Fuqian Shi:
Recognition of Skin Diseases Using Curvelet Transforms and Law's Texture Energy Measures. SOFA (2) 2018: 51-61 - 2017
- [c2]Jyotismita Chaki, Ranjan Parekh, Samar Bhattacharya:
An Efficient Fragmented Plant Leaf Classification Using Color Edge Directivity Descriptor. CICBA (2) 2017: 197-211 - 2015
- [j1]Jyotismita Chaki, Ranjan Parekh, Samar Bhattacharya:
Plant leaf recognition using texture and shape features with neural classifiers. Pattern Recognit. Lett. 58: 61-68 (2015) - [c1]Jyotismita Chaki, Ranjan Parekh, Samar Bhattacharya:
Recognition of whole and deformed plant leaves using statistical shape features and neuro-fuzzy classifier. ReTIS 2015: 189-194 - 2013
- [r1]Jyotismita Chaki, Ranjan Parekh:
Automated Classification of Echo-Cardiography Images Using Texture Analysis Methods. Handbook of Medical and Healthcare Technologies 2013: 121-143
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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