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2020 – today
- 2025
[j13]Md Najib Hasan
, Md Ehashan Rabbi Pial, Sunanda Das, Nazmul H. Siddique, Hui Wang:
DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network. Biomed. Signal Process. Control. 100: 106907 (2025)- 2024
- [j12]Abhishek Kesarwani, Sunanda Das, Dakshina Ranjan Kisku, Mamata Dalui:
Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection. Biomed. Signal Process. Control. 88(Part A): 105592 (2024) - [j11]Abhishek Kesarwani, Sunanda Das, Dakshina Ranjan Kisku, Mamata Dalui:
Multi-scale Vision Transformer toward improved non-invasive anaemia detection using palm video. Multim. Tools Appl. 83(38): 85825-85848 (2024) - [j10]Sunanda Das, Sk. Md. Masudul Ahsan, Mahfujur Rahman, Md. Shahriar Karim:
A Voting Approach for Heart Sounds Classification Using Discrete Wavelet Transform and CNN Architecture. SN Comput. Sci. 5(2): 251 (2024) - [i1]Md. Asiful Islam Miah, Shourin Paul, Sunanda Das, M. M. A. Hashem:
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning. CoRR abs/2408.06459 (2024) - 2023
- [j9]Abhishek Kesarwani, Sunanda Das, Mamata Dalui, Dakshina Ranjan Kisku, Bibhash Sen, Suchismita Roy, Anupam Basu:
Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach. Biomed. Signal Process. Control. 79(Part): 104045 (2023) - [j8]Sunanda Das, Abhishek Kesarwani, Mamata Dalui, Dakshina Ranjan Kisku, Bibhash Sen, Suchismita Roy, Anupam Basu:
Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor. Biomed. Signal Process. Control. 85: 104959 (2023) - [j7]Sunanda Das, Md. Samir Imtiaz, Nieb Neom, Nazmul H. Siddique, Hui Wang:
A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier. Expert Syst. Appl. 213(Part): 118914 (2023) - [c13]Sunanda Das, R. Chinnaiyan, G. Sabarmathi, A. Maskey, M. Swarnamugi, S. Balachandar, R. Divya:
Crowd Monitoring System Using Facial Recognition. FICTA (2) 2023: 567-577 - [c12]Md. Akil Raihan Iftee, Sunanda Das:
Unsupervised Binary Classification of Heart Diseases Using an Autoencoder Model with Boosting Algorithm. ICCCNT 2023: 1-7 - 2022
- [c11]Abhishek Kesarwani, Sunanda Das, Mamata Dalui, Dakshina Ranjan Kisku:
Non-invasive Haemoglobin Estimation Using Different Colour and Texture Features of Palm. CVIP (2) 2022: 176-189 - [c10]Sunanda Das, S. Karthikeyan:
Two Dimensional Cellular Automata Encryption Method for Security. IC3I 2022: 722-727 - [c9]T. Karthikeyan, S. Revathi, B. R. Supreeth, J. Sasidevi, Mohammed Ahmed, Sunanda Das:
Artificial Intelligence and Mixed Reality Technology for Interactive Display of Images in Smart Area. IC3I 2022: 2049-2053 - [c8]M. Saseekala, J. T. Arun Raghesh, B. Madhavidevi, J. Sasidevi, Venkateshan Ramalingam, Sunanda Das:
Blurred Image Processing and IoT Action Recognition in Academy Training Sport. IC3I 2022: 2075-2080 - [c7]Sunanda Das, Abhishek Kesarwani, Dakshina Ranjan Kisku, Mamata Dalui:
Non-invasive Haemoglobin Prediction Using Nail Color Features: An Approach of Dimensionality Reduction. ICIC (1) 2022: 811-824 - 2021
- [j6]Sunanda Das, Awal Ahmed Fime, Nazmul H. Siddique, M. M. A. Hashem:
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture. IEEE Access 9: 121060-121075 (2021) - [j5]Md. Ebtidaul Karim, Mirza Mohd Shahriar Maswood, Sunanda Das, Abdullah G. Alharbi:
BHyPreC: A Novel Bi-LSTM Based Hybrid Recurrent Neural Network Model to Predict the CPU Workload of Cloud Virtual Machine. IEEE Access 9: 131476-131495 (2021) - [j4]Ahan Chatterjee, Swagatam Roy, Sunanda Das:
A Bi-fold Approach to Detect and Classify COVID-19 X-Ray Images and Symptom Auditor. SN Comput. Sci. 2(4): 304 (2021) - [c6]Sunanda Das, Masum Billah, Suraiya Akter Mumu:
A Hybrid Approach for Predicting Bitcoin Price Using Bi-LSTM and Bi-RNN Based Neural Network. IDEAL 2021: 223-233
2010 – 2019
- 2018
- [j3]Sunanda Das, Asit Kumar Das:
Probability Based Most Informative Gene Selection From Microarray Data. Int. J. Rough Sets Data Anal. 5(1): 1-12 (2018) - [p1]Asit Kumar Das, Sunanda Das:
A Comparative Study on Different Versions of Multi-Objective Genetic Algorithm for Simultaneous Gene Selection and Sample Categorization. Multi-Objective Optimization 2018: 243-267 - 2017
- [j2]Sunanda Das, Chi-Chang Chang, Asit Kumar Das, Arka Ghosh:
Feature Selection Based on Bi-objective Differential Evolution. J. Comput. Sci. Eng. 11(4): 130-141 (2017) - [j1]Asit Kumar Das, Sunanda Das, Arka Ghosh:
Ensemble feature selection using bi-objective genetic algorithm. Knowl. Based Syst. 123: 116-127 (2017) - [c5]Sunanda Das, Shreya Chaudhuri, Asit Kumar Das:
Optimal Set of Overlapping Clusters Using Multi-objective Genetic Algorithm. ICMLC 2017: 232-237 - 2016
- [c4]Sunanda Das, Shreya Chaudhuri, Sujata Ghatak, Asit Kumar Das:
Simultaneous Feature Selection and Cluster Analysis Using Genetic Algorithm. ICIT 2016: 288-293 - [c3]Sunanda Das, Sourav De:
A Modified Genetic Algorithm Based FCM Clustering Algorithm for Magnetic Resonance Image Segmentation. FICTA (1) 2016: 435-443 - 2014
- [c2]Sunanda Das, Suvra Jyoti Choudhury, Asit Kumar Das, Jaya Sil:
Selection of Graph-Based Features for Character Recognition Using Similarity Based Feature Dependency and Rough Set Theory. RAIT 2014: 57-64 - [c1]Sunanda Das, Arka Ghosh, Asit Kumar Das:
A Neighbourhood Based Hybrid Genetic Search Model for Feature Selection. SEMCCO 2014: 421-431
Coauthor Index
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