Mohammad S. Islam

Orcid: 0000-0001-6264-3886

According to our database1, Mohammad S. Islam authored at least 18 papers between 2000 and 2023.

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Bibliography

2023
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification.
Neural Networks, April, 2023

2022
Hybrid intelligence modeling for estimating shear strength of FRP reinforced concrete members.
Neural Comput. Appl., 2022

A Novel Machine Learning Prediction Model for Aerosol Transport in Upper 17-Generations of the Human Respiratory Tract.
Future Internet, 2022

2020
Targeted Drug Delivery of Magnetic Nano-Particle in the Specific Lung Region.
Comput., 2020

Soft computing approaches for comparative prediction of the mechanical properties of jute fiber reinforced concrete.
Adv. Eng. Softw., 2020

2019
A Digitally Programmable CMOS Feedback ASIC for Highly Stable MEMS-Referenced Oscillators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

A Programmable Sustaining Amplifier for Flexible Multimode MEMS-Referenced Oscillators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Toward Efficient Land Cover Mapping: An Overview of the National Land Representation System and Land Cover Map 2015 of Bangladesh.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2017
Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.
Comput. Intell. Neurosci., 2017

A programmable sustaining amplifier for reconfigurable MEMS-referenced oscillators.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

2016
A Neuron Model Based Ultralow Current Sensor System for Bioapplications.
J. Sensors, 2016

2015
Graph-matching-based simulation-region selection for multiple binaries.
Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software, 2015

2014
Design of a Reconfigurable RFID Sensing Tag as a Generic Sensing Platform Toward the Future Internet of Things.
IEEE Internet Things J., 2014

A Probabilistic Neural Network Approach for Prediction of Movement and Its Laterality from Deep Brain Local Field Potential.
Proceedings of the Modern Trends and Techniques in Computer Science, 2014

Decoding Movements from Human Deep Brain Local Field Potentials Using Radial Basis Function Neural Network.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2003
Design and performance analysis of sliding-mode observers for sensorless operation of switched reluctance motors.
IEEE Trans. Control. Syst. Technol., 2003

2001
Observers for position and speed estimations in switched reluctance motors.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Torque-ripple minimization with indirect position and speed sensing for switched reluctance motors.
IEEE Trans. Ind. Electron., 2000


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