Mohammed Alawad

Orcid: 0000-0002-7491-0440

According to our database1, Mohammed Alawad authored at least 24 papers between 2013 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors.
CoRR, 2023

Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Stochastically Pruning Large Language Models Using Sparsity Regularization and Compressive Sensing.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022
Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML.
Comput., 2022

2020
Inter - intra observer variability using deep learning and traditional image processing for breast cancer.
Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020

2019
Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.
IEEE Trans. Medical Imaging, 2019

Survey of Stochastic-Based Computation Paradigms.
IEEE Trans. Emerg. Top. Comput., 2019

Robust and Large-Scale Convolution through Stochastic-Based Processing without Multipliers.
IEEE Trans. Emerg. Top. Comput., 2019

2018
Scalable FPGA Accelerator for Deep Convolutional Neural Networks with Stochastic Streaming.
IEEE Trans. Multi Scale Comput. Syst., 2018

Memory-Efficient Probabilistic 2-D Finite Impulse Response (FIR) Filter.
IEEE Trans. Multi Scale Comput. Syst., 2018

Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Sketching Computation with Stochastic Processing Engines.
ACM J. Emerg. Technol. Comput. Syst., 2017

Stochastic-based multi-stage streaming realization of deep convolutional neural network.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Stochastic-Based Multi-stage Streaming Realization of a Deep Convolutional Neural Network (Abstract Only).
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2016
Stochastic-Based Deep Convolutional Networks with Reconfigurable Logic Fabric.
IEEE Trans. Multi Scale Comput. Syst., 2016

Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric (Abstract Only).
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015
Neural network-based fuzzy control surface implementation.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Energy-Efficient High-Order FIR Filtering through Reconfigurable Stochastic Processing (Abstract Only).
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

FIR Filter Based on Stochastic Computing with Reconfigurable Digital Fabric.
Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2014
Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only).
Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation.
Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

2013
Improving memory performance in reconfigurable computing architecture through hardware-assisted dynamic graph.
Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2013

Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph.
Proceedings of the 21st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2013


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