A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning D Das, SK Biswas, S Bandyopadhyay Multimedia Tools and Applications 81 (18), 25613-25655, 2022 | 106 | 2022 |
Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC) D Das, SK Biswas, S Bandyopadhyay Multimedia tools and applications 82 (19), 29943-30001, 2023 | 82 | 2023 |
Recent trend in medical imaging modalities and their applications in disease diagnosis: a review B Abhisheka, SK Biswas, B Purkayastha, D Das, A Escargueil Multimedia Tools and Applications 83 (14), 43035-43070, 2024 | 45 | 2024 |
Boston house price prediction using regression models S Sanyal, SK Biswas, D Das, M Chakraborty, B Purkayastha 2022 2nd International Conference on Intelligent Technologies (CONIT), 1-6, 2022 | 35 | 2022 |
Perspective of AI system for COVID-19 detection using chest images: a review D Das, SK Biswas, S Bandyopadhyay Multimedia Tools and Applications 81 (15), 21471-21501, 2022 | 23 | 2022 |
Health insurance cost prediction using regression models S Panda, B Purkayastha, D Das, M Chakraborty, SK Biswas 2022 International conference on machine learning, big data, cloud and …, 2022 | 20 | 2022 |
Realizing digital forensics as a big data challenge D Das, U Shaw, SP Medhi 4th International Conference on Computing for Sustainable Global Development …, 2017 | 12 | 2017 |
General survey on security issues on internet of things D Das, B Sharma International Journal of Computer Applications 139 (2), 23-29, 2016 | 11 | 2016 |
Deep Learning Techniques for Early Detection of Diabetic Retinopathy: Recent Developments and Techniques D Das, SK Biswas, S Bandyopadhyay, RH Laskar 2020 5th International Conference on Computing, Communication and Security …, 2020 | 7 | 2020 |
Heart disease prediction using classification models S Sanyal, D Das, SK Biswas, M Chakraborty, B Purkayastha 2022 3rd International Conference for Emerging Technology (INCET), 1-6, 2022 | 6 | 2022 |
Early detection of diabetic retinopathy using machine learning techniques: a survey on recent trends and techniques D Das, SK Biswas, S Bandyopadhyay, S Sarkar Electronic Systems and Intelligent Computing: Proceedings of ESIC 2020, 673-684, 2020 | 6 | 2020 |
Social network forensics: Survey and challenges U Shaw, D Das, SP Medhi International Journal of Computer Science and Information Security 14 (11), 310, 2016 | 6 | 2016 |
Deep Diabetic Retinopathy Feature eXtraction and Random Forest based ensemble Classification System (DDRFXRFCS) D Das, S Das, SK Biswas, B Purkayastha 2021 Asian Conference on Innovation in Technology (ASIANCON), 1-7, 2021 | 4 | 2021 |
Case-based expert system for early detection of diabetic retinopathy R Barman, SK Biswas, D Das, B Purkayastha, MD Borah Intelligent Computing and Communication Systems, 259-267, 2021 | 4 | 2021 |
Deep Diabetic Retinopathy Detection System (DDRDS) using Convolutional Neural Network: A Comparative Study S Das, D Das, SK Biswas, B Purkayastha 2021 International Conference on Intelligent Technologies (CONIT), 1-5, 2021 | 2 | 2021 |
Comparative analysis of intelligent systems using support vector machine for the detection of diabetic retinopathy G Sri Venkateswara Reddy, D Das, SK Biswas, B Sai Prashanth, ... Intelligent Computing and Communication Systems, 245-257, 2021 | 2 | 2021 |
An Intelligent System for Diagnosis of Diabetic Retinopathy SK Biswas, R Upadhya, N Das, D Das, M Chakraborty, B Purkayastha Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume …, 2020 | 2 | 2020 |
Static and dynamic analysis of android applications for detection of android packet misbehaviour D Das, B Sharma International Journal of Computer Science and Information Security 14 (11), 379, 2016 | 1 | 2016 |
Mixed attention and regularized COVID‐19 network: An approach to detection of COVID‐19 with chest x‐ray images D Das, SK Biswas, S Bandyopadhyay International Journal of Imaging Systems and Technology 33 (4), 1194-1222, 2023 | | 2023 |