( en | de | ru )

 

Disambiguation of "Shuvo, Md Maruf Hossain"

Author of the publication

copydeleteadd this publication to your clipboard
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map.

, , , , , , , , and . ICPR, page 4317-4323. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Md Maruf Hasan

Md Maruf Hasan

Md Munir Hossain

Md Munir Hossain

Md Alam Hossain Mondal

 

Other publications of authors with the same name

Deep Multitask Learning by Stacked Long Short-Term Memory for Predicting Personalized Blood Glucose Concentration., and . IEEE J. Biomed. Health Informatics, 27 (3): 1612-1623 (March 2023)A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA., , , , , , and . MeMeA, page 1-6. IEEE, (2022)Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map., , , , , , , , and . ICPR, page 4317-4323. IEEE, (2020)An Optimized Hardware Implementation of Deep Learning Inference for Diabetes Prediction., , , , and . I2MTC, page 1-6. IEEE, (2021)Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review., , , and . Proc. IEEE, 111 (1): 42-91 (2023)Machine Learning Embedded Smartphone Application for Early-Stage Diabetes Risk Assessment., , , , , , and . MeMeA, page 1-6. IEEE, (2022)Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection., , , , , , , and . J. Signal Process. Syst., 95 (11): 1353 (November 2023)Unraveling the Potential of Heart Rate Variability for Type 1 Diabetes Prediction., , and . BATS, page 57-61. IEEE, (2023)Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection., , , , , , , and . J. Signal Process. Syst., 94 (6): 609-619 (2022)A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network., , , and . AIPR, page 1-5. IEEE, (2020)