Mohd Usama

Orcid: 0000-0001-6524-7694

According to our database1, Mohd Usama authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers.
CoRR, 2024

DACB-Net: Dual Attention Guided Compact Bilinear Convolution Neural Network for Skin Disease Classification.
CoRR, 2024

Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification.
CoRR, 2024

2022
An ensemble model of convolution and recurrent neural network for skin disease classification.
Int. J. Imaging Syst. Technol., 2022

Corrigendum to self-attention based recurrent convolutional neural network for disease prediction using healthcare data.
Comput. Methods Programs Biomed., 2022

2020
Attention-based sentiment analysis using convolutional and recurrent neural network.
Future Gener. Comput. Syst., 2020

A variant form of 3D-UNet for infant brain segmentation.
Future Gener. Comput. Syst., 2020

Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.
Comput. Methods Programs Biomed., 2020

Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network.
IEEE Access, 2020

2019
Recurrent convolutional neural network based multimodal disease risk prediction.
Future Gener. Comput. Syst., 2019

Removal notice to "Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews" [Comput. Commun. (2019) 98-106].
Comput. Commun., 2019

Deep Learning Based Weighted Feature Fusion Approach for Sentiment Analysis.
IEEE Access, 2019

3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation.
Proceedings of the 4th International Conference on Big Data and Computing, 2019

Deep Convolutional Neural Network Using Triplet Loss to Distinguish the Identical Twins.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data.
IEEE Access, 2018

2017
Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs.
Digit. Commun. Networks, 2017


  Loading...