S
Sunanda Das Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Graduate Research Assistant
grad_student
14 h-index
77 pubs
1,303 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sunanda Das's research focuses on the application of machine learning and deep learning techniques to address challenges in various domains, including healthcare, cloud computing, intelligent vehicles, and financial markets. Her work has explored the impact of missing value imputation on machine learning model performance and developed hybrid approaches for complex tasks. Das has investigated the prediction of CPU workload in cloud virtual machines using Bi-LSTM based recurrent neural networks and the estimation of road boundaries for intelligent vehicles using DeepLabV3+ architecture. Her publications also include stock price prediction models utilizing Bi-LSTM and GRU, and flood prediction in Bangladesh using the k-Nearest Neighbors algorithm. Additionally, she has examined the association of obesity with hypertension and diabetes in adults in Bangladesh and explored smartphone-based non-invasive hemoglobin level estimation. Das holds a h-index of 14 with 77 total publications and 1,303 total citations.
Metrics
- h-index: 14
- Publications: 77
- Citations: 1,303
Selected Publications
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Applications of waste Tulsa Plant Ash for improved cement properties and environmental conservation (2025)
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Enhanced Brain Tumor Classification Using HyperLSTM and EfficientNetB0 Integration for Accurate Diagnostics (2025)
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Non-invasive Haemoglobin Estimation from Nail Pallor Leveraging Pre-trained Models and Graph Neural Networks (2025)
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Attention enabled precise haemoglobin prediction: A GNN based non-invasive approach (2025)
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MoE-TTA: Enhancing Continual Test-Time Adaptation for Vision-Language Models through Mixture of Experts (2024)
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Next-Gen Heart Disease Prediction: A Gradient Boosting Approach with L1-Regularized Neural Networks (2024)
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Investment Tourism in Global Investment (2024)
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THE USE OF ARTIFICIAL INTELLIGENCE FOR FOLKSTHROUGHINCAPACITY: A CHEERFULTHENTALENTEDUPCOMINGFAST (2024)
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DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network (2024)
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InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning (2024)
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An Ensemble Technique Using Genetic Algorithm and Deep Learning for the Prediction of Rice Diseases (2024)
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Multi-scale Vision Transformer toward improved non-invasive anaemia detection using palm video (2024)
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TREATED WASTE WATER USE IN CONSTRUCTION INDUSTRIES (2024)
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DeepRegYLab: A Dilated Convolution and Network Design Space Based Image Segmentation Model to Segment Healthy GI Tract of Cancer Patients to Automate Radiotherapy (2024)
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Enhancing E-Learning: EEG Signal Classification to Evaluate Students' Understanding of Online Lectures (2024)
Collaboration Network
Top Collaborators
Mamata Dalui
National Institute of Technology Durgapur (IN)
11 shared publications
- Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor
- Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach
- Non-invasive Haemoglobin Estimation by Observing Nail Color: A PCA based Approach
- Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection
- Non-invasive Haemoglobin Prediction Using Nail Color Features: An Approach of Dimensionality Reduction
Showing 5 of 11 shared publications
Dakshina Ranjan Kisku
National Institute of Technology Durgapur (IN)
10 shared publications
- Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor
- Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach
- Non-invasive Haemoglobin Estimation by Observing Nail Color: A PCA based Approach
- Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection
- Non-invasive Haemoglobin Prediction Using Nail Color Features: An Approach of Dimensionality Reduction
Showing 5 of 10 shared publications
Abhishek Kesarwani
National Institute of Technology Durgapur (IN)
9 shared publications
- Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor
- Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach
- Non-invasive Haemoglobin Estimation by Observing Nail Color: A PCA based Approach
- Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection
- Non-invasive Haemoglobin Estimation Using Different Colour and Texture Features of Palm
Showing 5 of 9 shared publications
Md. Akil Raihan Iftee
Khulna University of Engineering and Technology (BD)
4 shared publications
- Unsupervised Binary Classification of Heart Diseases Using an Autoencoder Model with Boosting Algorithm
- VioNet: An Enhanced Violence Detection Approach for Videos Using a Fusion Model of Vision Transformer with Bi-LSTM and 3D Convolutional Neural Networks
- Next-Gen Heart Disease Prediction: A Gradient Boosting Approach with L1-Regularized Neural Networks
- MoE-TTA: Enhancing Continual Test-Time Adaptation for Vision-Language Models through Mixture of Experts
Nazmul Siddique
University of Ulster (GB)
2 shared publications
- Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture
- DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network
M. M. A. Hashem
2 shared publications
- Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture
- InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
Md. Ebtidaul Karim
Khulna University of Engineering and Technology (BD)
2 shared publications
- BHyPreC: A Novel Bi-LSTM Based Hybrid Recurrent Neural Network Model to Predict the CPU Workload of Cloud Virtual Machine
- Stock Price Prediction Using Bi-LSTM and GRU-Based Hybrid Deep Learning Approach
Masum Billah
Khulna University of Engineering and Technology (BD)
2 shared publications
- A Hybrid Approach for Predicting Bitcoin Price Using Bi-LSTM and Bi-RNN Based Neural Network
- Analysis and Prediction of Gold Price using CNN and Bi-GRU based Neural Network Model
Mahmudul Hasan
Khulna University of Engineering and Technology (BD)
2 shared publications
- Estimating Traffic Density on Roads using Convolutional Neural Network with Batch Normalization
- Traffic Density Estimation Using Transfer Learning with Pre-trained InceptionResNetV2 Network
Md. Nafis Tahmid Akhand
Khulna University of Engineering and Technology (BD)
2 shared publications
- Estimating Traffic Density on Roads using Convolutional Neural Network with Batch Normalization
- Traffic Density Estimation Using Transfer Learning with Pre-trained InceptionResNetV2 Network
Abhishek Kesarwani
Manipal University Jaipur
2 shared publications
- Non-invasive Haemoglobin Prediction Using Nail Color Features: An Approach of Dimensionality Reduction
- Non-invasive Haemoglobin Estimation from Nail Pallor Leveraging Pre-trained Models and Graph Neural Networks
Bibhash Sen
National Institute of Technology Durgapur (IN)
2 shared publications
- Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor
- Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach
Suchismita Roy
National Institute of Technology Durgapur (IN)
2 shared publications
- Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor
- Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach
Anupam Basu
National Institute of Technology Durgapur (IN)
2 shared publications
- Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor
- Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach
Hui Wang
Queen's University Belfast (GB)
2 shared publications
- A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier
- DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network
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