S. M. Taslim Uddin Raju
Orcid: 0000-0001-6866-0222
According to our database1,
S. M. Taslim Uddin Raju authored at least 16 papers
between 2020 and 2025.
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Bibliography
2025
FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition.
CoRR, August, 2025
CoRR, June, 2025
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning.
Proceedings of the International Joint Conference on Neural Networks, 2025
FusionEnsembleNet: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
2024
DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model.
Medical Biol. Eng. Comput., December, 2024
TransUAAE-CapGen: Caption Generation from Histopathological Patches through Transformer and UNet-Based Adversarial Autoencoder.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
2022
Complex., 2022
2021
SN Comput. Sci., 2021
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders.
Biomed. Signal Process. Control., 2021
Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model.
Biomed. Signal Process. Control., 2021
Corrections to "A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models".
IEEE Access, 2021
A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models.
IEEE Access, 2021
2020
SN Comput. Sci., 2020