Get started
Author

Daisy Das

Observed names: DAISY DAS, Das, Daisy
Institution: Gauhati University
ORCID: 0000-0001-8305-1417
Observed ORCID: 0000-0001-8305-1417
OpenAlex ID: A5013723522
AnEEG: leveraging deep learning for effective artifact removal in EEG data
2024 · Bhabesh Kalita, Nabamita Deb, et al. · Scientific Reports · 63
PDF
Credit Card Fraud Detection Technique by Applying Graph Database Model
2021 · Debachudamani Prusti, Daisy Das, et al. · Arabian Journal for Science and Engineering · 45
Analysis of frequency domain features for the classification of evoked emotions using EEG signals
2025 · Samannaya Adhikari, Nitin Choudhury, et al. · Experimental Brain Research · 34
PDF
Classification of childhood medulloblastoma into WHO‐defined multiple subtypes based on textural analysis
2020 · DAISY DAS, LIPI B. MAHANTA, et al. · Journal of Microscopy · 21
Study on Contribution of Biological Interpretable and Computer-Aided Features Towards the Classification of Childhood Medulloblastoma Cells
2018 · Daisy Das, Lipi B. Mahanta, et al. · Journal of Medical Systems · 20
Automated classification of childhood brain tumoursbased on texture feature
2019 · Das, Daisy, Lipi B. Mahanta, et al. · DOAJ (DOAJ: Directory of Open Access Journals) · 19
NeuroFeat: An adaptive neurological EEG feature engineering approach for improved classification of major depressive disorder
2025 · Nitin Choudhury, Daisy Das, et al. · Biomedical Signal Processing and Control · 17
A study on MANOVA as an effective feature reduction technique in classification of childhood medulloblastoma and its subtypes
2020 · Daisy Das, Lipi B. Mahanta, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 13
Classification of Childhood Medulloblastoma and its subtypes using Transfer Learning features - A Comparative Study of Deep Convolutional Neural Networks
2020 · Daisy Das, Lipi B. Mahanta, et al. · International Conference on Computer, Electrical & Communication Engineering (ICCECE) · 13
Tetrahedral feature map for analyzing meditative states in prenatal EEG
2025 · Daisy Das, Nabamita Deb, et al. · Engineering Research Express · 10
A Comparative Assessment of Different Approaches of Segmentation and Classification Methods on Childhood Medulloblastoma Images
2021 · Daisy Das, Lipi B. Mahanta · Journal of Medical and Biological Engineering · 8
Deep Hybrid CNN–BiLSTM–Attention Model for EEG Classification Using Wavelet Features
2026 · Tony Bayan, Daisy Das, et al. · Annals of Neurosciences · 4
A deep learning approach for analyzing brainwave signals during audio meditation in expectant mothers: variational mode decomposition with a CNN-BiLSTM model
2026 · Daisy Das, Nabamita Deb, et al. · Biomedical Physics & Engineering Express · 3
PDF
On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples
2019 · Daisy Das, Lipi B. Mahanta · Lecture notes in computer science · 3
Exploring EEG biomarkers in meditation, yoga, and mantra practices: a review of neural correlates and methodologies
2026 · Daisy Das, Nabamita Deb · Neural Computing and Applications · 2
Automated Classification of Mekhela Sador: Handloom vs Powerloom using Convolutional Neural Networks
2024 · Sroita Ghosh, Abinash Bordoloi, et al. · International Conference on Networks, Multimedia and Information Technology (NMITCON) · 2
Inter-Trial Coherence Reveals Enhanced Synchrony During Mantra Listening
2025 · Daisy Das, Nabamita Deb, et al. · IEEE Signal Processing Letters · 1
Transfer Learning-Enhanced CNN-LSTM Model for Banana Plant Disease Detection
2025 · Aryamitra Kashyap, Ivy Sarma, et al. · International Conference on Networks, Multimedia and Information Technology (NMITCON) · 1
Multi-class Epileptic EEG Classification Using a Compact Convolutional Neural Network for Clinical Brain–Computer Interfaces
2026 · Bikash Bora, Bikash Nath, et al. · IEEE Guwahati Subsection Conference (GCON)
Decreased Beta and Gamma Band Power following Mantra Exposure: An EEG Analysis in Expectant Mothers
2026 · Daisy Das, Nabamita Deb, et al. · IEEE Guwahati Subsection Conference (GCON)
Attention-Deficit/Hyperactivity Disorder and Electroencephalography: A Concise Review
2026 · Debasish Phukan, Daisy Das, et al. · IEEE Guwahati Subsection Conference (GCON)
EEG-Based ADHD Classification Using Machine Learning and Boosting Algorithms
2026 · Debasish Phukan, Daisy Das, et al. · International Conference on Artificial Intelligence and Data Engineering (AIDE)
"PEM-43 Dataset on Meditation"
2026 · Daisy Das, Nabamita Deb · IEEE DataPort
A study on examining prenatal depression with electroencephalography
2026 · Daisy Das, Nabamita Deb, et al. · AIP conference proceedings
AIM in Neurology
2022 · Daisy Das, Lipi B. Mahanta · Springer eBooks
Works count: 29
Citation count: 280
H-index: 10
I10-index: 10
Year
Topic
Type