Md Maruf Hossain Shuvo
Orcid: 0000-0002-3498-4947
According to our database1,
Md Maruf Hossain Shuvo
authored at least 17 papers
between 2020 and 2024.
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Bibliography
2024
Sensors, September, 2024
Enhancing Personalized Blood Glucose Prediction: Deep Learning Insights From Ablation Study on Wearable Sensor Data.
IEEE Access, 2024
Hill Climbing for Efficient Spiking Neural Network Acceleration on Neuromorphic Chips.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024
Enhancing Personalization and Mitigating Inter-Patient Variability in Continuous Blood Glucose Prediction Using Multi-Task Deep LSTMs.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
Design of a Power-Efficient Digital Classifier for Neural Network-Based Sleep Apnea Detection System.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Long-Term Predictive Analytics of Continuous Glucose Sensing for Enhanced Glycemic Control.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
2023
Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection.
J. Signal Process. Syst., November, 2023
Deep Multitask Learning by Stacked Long Short-Term Memory for Predicting Personalized Blood Glucose Concentration.
IEEE J. Biomed. Health Informatics, March, 2023
Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review.
Proc. IEEE, 2023
Proceedings of the International Workshop on Biomedical Applications, 2023
2022
J. Signal Process. Syst., 2022
Machine Learning Embedded Smartphone Application for Early-Stage Diabetes Risk Assessment.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
2021
An Optimized Hardware Implementation of Deep Learning Inference for Diabetes Prediction.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020