Mostafa Rahimi Azghadi
Orcid: 0000-0001-7975-3985
According to our database1,
Mostafa Rahimi Azghadi
authored at least 105 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
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
Expert Syst. Appl., March, 2024
IEEE Trans. Biomed. Circuits Syst., February, 2024
Neural Comput. Appl., February, 2024
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
CoRR, 2024
Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review.
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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
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
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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
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
Comput. Secur., November, 2023
Adv. Intell. Syst., October, 2023
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
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
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
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
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
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
IEEE Geosci. Remote. Sens. Lett., 2022
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
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
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022
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
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
Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
2020
IEEE Trans. Circuits Syst., 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst., 2020
IET Circuits Devices Syst., 2020
Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing.
Adv. Intell. Syst., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
2019
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
2018
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
IEEE Trans. Biomed. Circuits Syst., 2017
Microelectron. Reliab., 2017
2015
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures.
ACM J. Emerg. Technol. Comput. Syst., 2015
Inf. Sci., 2015
2014
Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges.
Proc. IEEE, 2014
2013
Neural Networks, 2013
Proceedings of the 21st IEEE/IFIP International Conference on VLSI and System-on-Chip, 2013
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
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
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
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, 2008
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2008
Proceedings of the 2008 East-West Design & Test Symposium, 2008
2007
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007