Yaser Mohammadi Banadaki

Orcid: 0000-0001-7339-810X

According to our database1, Yaser Mohammadi Banadaki authored at least 19 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Modified FedHome.
Dataset, June, 2024

On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise.
CoRR, 2024

A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework.
CoRR, 2024

Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous.
CoRR, 2024

A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules.
CoRR, 2024

Modeling Melt Pool Geometry in Metal Additive Manufacturing Using Goldak's Semi-Ellipsoidal Heat Source: A Data-driven Computational Approach.
CoRR, 2024

A Comparative Analysis of Neuromorphic Neuron Circuits for Enhanced Power Efficiency and Spiking Frequency in 22nm CMOS Technology.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Computational Model of Ta2O5/TaOx Memristors: Predicting Resistive Switching Behavior and Filament Growth Dynamics for Enhanced Device Control and Optimization.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Hardware Implementation of Memristor-Based in-Memory Computing for Classification Tasks.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

2023
Neuromorphic Robust Framework for Concurrent Estimation and Control in Dynamical Systems using Spiking Neural Networks.
CoRR, 2023

Enhancing Energy Efficiency and Reliability in Autonomous Systems Estimation using Neuromorphic Approach.
CoRR, 2023

Improving Image Classification using Triple-GAN: A Fusion of Generative Adversarial Networks and Transfer Learning.
Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2020
Toward Enabling a Reliable Quality Monitoring System for Additive Manufacturing Process using Deep Convolutional Neural Networks.
CoRR, 2020

2019
Identifying Laguerre-Gaussian Modes using Convolutional Neural Network.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2016
Width-Dependent Characteristics of Graphene Nanoribbon Field Effect Transistor for High Frequency Applications.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016

2015
Scaling Effects on Static Metrics and Switching Attributes of Graphene Nanoribbon FET for Emerging Technology.
IEEE Trans. Emerg. Top. Comput., 2015

Clocked Adiabatic XOR and XNOR CMOS Gates Design Based on Graphene Nanoribbon Complementary Field Effect Transistors.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2015

2013
A novel graphene nanoribbon field effect transistor for integrated circuit design.
Proceedings of the IEEE 56th International Midwest Symposium on Circuits and Systems, 2013

2010
General SPICE Models for Memristor and Application to Circuit Simulation of Memristor-Based Synapses and Memory Cells.
J. Circuits Syst. Comput., 2010


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