Mostafa Rahimi Azghadi

Orcid: 0000-0001-7975-3985

According to our database1, Mostafa Rahimi Azghadi authored at least 105 papers between 2007 and 2024.

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Bibliography

2024
A Novel Hardware Solution for Efficient Approximate Fuzzy Image Edge Detection.
IEEE Trans. Fuzzy Syst., May, 2024

How to track and segment fish without human annotations: a self-supervised deep learning approach.
Pattern Anal. Appl., March, 2024

Applications of deep learning in fish habitat monitoring: A tutorial and survey.
Expert Syst. Appl., March, 2024

NADOL: Neuromorphic Architecture for Spike-Driven Online Learning by Dendrites.
IEEE Trans. Biomed. Circuits Syst., February, 2024

Unsupervised character recognition with graphene memristive synapses.
Neural Comput. Appl., February, 2024

WALLAX: A memristor-based Gaussian random number generator.
Neurocomputing, January, 2024

Efficient sparse spiking auto-encoder for reconstruction, denoising and classification.
Neuromorph. Comput. Eng., 2024

SITU: Stochastic input encoding and weight update thresholding for efficient memristive neural network in-situ training.
Neurocomputing, 2024

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models.
CoRR, 2024

Machine Learning for Asymptomatic Ratoon Stunting Disease Detection With Freely Available Satellite Based Multispectral Imaging.
CoRR, 2024

Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation.
CoRR, 2024

Evolution and challenges of computer vision and deep learning technologies for analysing mixed construction and demolition waste.
CoRR, 2024

Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency.
CoRR, 2024

Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review.
CoRR, 2024

ShadowRemovalNet: Efficient Real-Time Shadow Removal.
CoRR, 2024

Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review.
CoRR, 2024

Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes - A Real-World Case Study.
CoRR, 2024

WeedCLR: Weed contrastive learning through visual representations with class-optimized loss in long-tailed datasets.
Comput. Electron. Agric., 2024

Manhattan Rule for Robust In-Situ Training of Memristive Deep Neural Network Accelerators.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

POD: PCM-Based Computing Platform for Object Detection in Biomedical Imaging Application.
Proceedings of the 15th IEEE Latin America Symposium on Circuits and Systems, 2024

SAR-MemPipe: A Hybrid Pipeline-SAR Memristive ADC for Analog Resistive Arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Spiking Auto-Encoder Using Error Modulated Spike Timing Dependant Plasticity.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

BITLITE: Light Bit-wise Operative Vector Matrix Multiplication for Low-Resolution Platforms.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

NURODE: In-Memory Crossbar Core for Hodgkin-Huxley Model ODE-Based Computations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

In-Memory Transformer Self-Attention Mechanism Using Passive Memristor Crossbar.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Toward Accurate Analysis of Channel Charge Injection in SAR ADCs' Capacitive DACs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

SOMeL: Multi-Granular Optimized Framework for Digital Neuromorphic Meta-Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
J. Biomed. Informatics, December, 2023

Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos.
Ecol. Informatics, December, 2023

Security and privacy problems in voice assistant applications: A survey.
Comput. Secur., November, 2023

A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits.
Adv. Intell. Syst., October, 2023

Efficient Memristive Stochastic Differential Equation Solver.
Adv. Intell. Syst., August, 2023

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review.
Int. J. Medical Informatics, May, 2023

Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks.
Softw. Impacts, March, 2023

V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges.
CoRR, 2023

Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization.
CoRR, 2023

High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology.
IEEE Access, 2023

SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.
IEEE Trans. Biomed. Circuits Syst., 2022

Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis.
Neural Networks, 2022

Sea Surface Temperature Forecasting With Ensemble of Stacked Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2022

MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems.
Neurocomputing, 2022

Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks.
Environ. Model. Softw., 2022

Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement.
CoRR, 2022

Machine Learning for Stress Monitoring from Wearable Devices: A Systematic Literature Review.
CoRR, 2022

A lightweight Transformer-based model for fish landmark detection.
CoRR, 2022

Unsupervised Fish Trajectory Tracking and Segmentation.
CoRR, 2022

Transformer-based Self-Supervised Fish Segmentation in Underwater Videos.
CoRR, 2022

Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey.
CoRR, 2022

Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts.
Array, 2022

Distributed Deep Learning and Energy-Efficient Real-Time Image Processing at the Edge for Fish Segmentation in Underwater Videos.
IEEE Access, 2022

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation.
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

In-Memory Memristive Transformation Stage of Gaussian Random Number Generator.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Navigating Local Minima in Quantized Spiking Neural Networks.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2021

Memristive Stochastic Computing for Deep Learning Parameter Optimization.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2021

Automated Machine Learning for Healthcare and Clinical Notes Analysis.
Comput., 2021

Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA.
IEEE Trans. Circuits Syst., 2020

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst., 2020

New analogue stop-learning control module using astrocyte for neuromorphic learning.
IET Circuits Devices Syst., 2020

Affinity LCFCN: Learning to Segment Fish with Weak Supervision.
CoRR, 2020

Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing.
Adv. Intell. Syst., 2020

Training Progressively Binarizing Deep Networks using FPGAs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Biologically Plausible Contrast Detection using a Memristor Array.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Design and analysis of efficient QCA reversible adders.
J. Supercomput., 2019

Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
IEEE Access, 2019

Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Variation-aware Binarized Memristive Networks.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning.
CoRR, 2018

Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017
A Hybrid CMOS-Memristor Neuromorphic Synapse.
IEEE Trans. Biomed. Circuits Syst., 2017

An enhanced MOSFET threshold voltage model for the 6-300 K temperature range.
Microelectron. Reliab., 2017

2015
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures.
ACM J. Emerg. Technol. Comput. Syst., 2015

Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata.
Inf. Sci., 2015

2014
Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges.
Proc. IEEE, 2014

2013
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity.
Neural Networks, 2013

A new compact analog VLSI model for Spike Timing Dependent Plasticity.
Proceedings of the 21st IEEE/IFIP International Conference on VLSI and System-on-Chip, 2013

Programmable neuromorphic circuits for spike-based neural dynamics.
Proceedings of the IEEE 11th International New Circuits and Systems Conference, 2013

Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

2012
A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders
CoRR, 2012

Efficient design of triplet based Spike-Timing Dependent Plasticity.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Design and implementation of BCM rule based on spike-timing dependent plasticity.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010
A new quantum-dot cellular automata full-adder.
Microelectron. J., 2010

2009
A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter.
Microelectron. J., 2009

2008
A hybrid multiprocessor task scheduling method based on immune genetic algorithm.
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, 2008

Design of Robust and High-Performance 1-Bit CMOS Full Adder for Nanometer Design.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2008

Performance evaluation of In-Circuit Testing on QCA based circuits.
Proceedings of the 2008 East-West Design & Test Symposium, 2008

2007
Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

Gender Classification Based on FeedForward Backpropagation Neural Network.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007


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