Sujit Kumar Das

22 papers Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A lightweight shallow convolution neural network for automatic identification of Diabetic Foot Ulcers.
Image Vis. Comput.
Sujit Kumar Das, Parag Bhuyan, Nageswara Rao Moparthi, Suyel Namasudra
2026 J jnl
Leveraging Squeeze Aggregation Excitation and Positional Encoding in ResNet-50 for Rice Leaf Disease Classification.
Concurr. Comput. Pract. Exp.
Parag Bhuyan, Sujit Kumar Das, Pranav Kumar Singh
2025 J jnl
A Smart Healthcare System Using Consumer Electronics and Federated Learning to Automatically Diagnose Diabetic Foot Ulcers.
Int. J. Interact. Multim. Artif. Intell.
Sujit Kumar Das, Nageswara Rao Moparthi, Suyel Namasudra, Rubén González Crespo, David Taniar
2024 J jnl
HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds.
Multim. Syst.
Sujit Kumar Das, Suyel Namasudra, Arun Kumar Sangaiah
2024 J jnl
Res4net-CBAM: a deep cnn with convolution block attention module for tea leaf disease diagnosis.
Multim. Tools Appl.
Parag Bhuyan, Pranav Kumar Singh, Sujit Kumar Das
2023 J jnl
A new image encryption method using Bezier curve.
Multim. Tools Appl.
Sujit Kumar Das, Bibhas Chandra Dhara
2023 J jnl
AESPNet: Attention Enhanced Stacked Parallel Network to improve automatic Diabetic Foot Ulcer identification.
Image Vis. Comput.
Sujit Kumar Das, Suyel Namasudra, Awnish Kumar, Nageswara Rao Moparthi
2023 J jnl
SE_SPnet: Rice leaf disease prediction using stacked parallel convolutional neural network with squeeze-and-excitation.
Expert Syst. J. Knowl. Eng.
Parag Bhuyan, Pranav Kumar Singh, Sujit Kumar Das, Anshuman Kalla
2022 J jnl
A multi-task learning based approach for efficient breast cancer detection and classification.
Expert Syst. J. Knowl. Eng.
Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das
2022 J jnl
CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation.
Int. J. Imaging Syst. Technol.
Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das
2022 J jnl
DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification.
ICT Express
Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra
2022 J jnl
Feature fusion based machine learning pipeline to improve breast cancer prediction.
Multim. Tools Appl.
Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das
2022 J jnl
Fusion of handcrafted and deep convolutional neural network features for effective identification of diabetic foot ulcer.
Concurr. Comput. Pract. Exp.
Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra
2022 J jnl
Oversample-select-tune: A machine learning pipeline for improving diabetes identification.
Concurr. Comput. Pract. Exp.
Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra
2022 J jnl
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach.
Int. J. Imaging Syst. Technol.
Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra
2021 — conf
ADASemSeg: An Active Learning Based Data Adaptation Strategy for Improving Cross Dataset Breast Tumor Segmentation.
MIND
Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das
2021 — conf
An Image Encryption Method Using Chaos and DNA Encoding.
CICBA
Mukul Biswas, Sujit Kumar Das, Bibhas Chandra Dhara
2021 J jnl
Breast ultrasound tumour classification: A Machine Learning - Radiomics based approach.
Expert Syst. J. Knowl. Eng.
Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das
2021 — ch.
Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study.
Health Informatics
Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra
2018 — conf
A Critical Survey of Mathematical Search Engines.
CICBA (2)
Sourish Dhar, Sudipta Roy, Sujit Kumar Das
2018 J jnl
An LSB based novel data hiding method using extended LBP.
Multim. Tools Appl.
Sujit Kumar Das, Bibhas Chandra Dhara
2017 — conf
An Image Encryption Technique using Sine Curve.
ICAPR
Sujit Kumar Das, Bibhas Chandra Dhara