Gender Classification Based on FeedForward Backpropagation Neural Network. - Mostafa Rahimi Azghadi; Mohammad Reza Bonyadi; Hamed Shah-Hosseini (AIAI, 2007)

Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm. - Mohammad Reza Bonyadi; Mostafa Rahimi Azghadi; Hamed Shah-Hosseini (AIAI, 2007)

Performance evaluation of In-Circuit Testing on QCA based circuits. - Nasim Kazemifard; Maryam Ebrahimpour; Mostafa Rahimi Azghadi; Mohammad A. Tehrani; Keivan Navi (EWDTS, 2008)

Design of Robust and High-Performance 1-Bit CMOS Full Adder for Nanometer Design. - Omid Kavehei; Mostafa Rahimi Azghadi; Keivan Navi; Amir-Pasha Mirbaha (ISVLSI, 2008)

A hybrid multiprocessor task scheduling method based on immune genetic algorithm. - Mostafa Rahimi Azghadi; Mohammad Reza Bonyadi; Sara Hashemi; Mohsen Ebrahimi Moghaddam (QSHINE, 2008)

A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter. - Keivan Navi; Vahid Foroutan; Mostafa Rahimi Azghadi; Mehrdad Maeen; Maryam Ebrahimpour; M. Kaveh; Omid Kavehei (Microelectron. J., 2009)

A new quantum-dot cellular automata full-adder. - Keivan Navi; Razieh Farazkish; Samira Sayedsalehi; Mostafa Rahimi Azghadi (Microelectron. J., 2010)

Design and implementation of BCM rule based on spike-timing dependent plasticity. - Mostafa Rahimi Azghadi; Said F. Al-Sarawi; Nicolangelo Iannella; Derek Abbott (IJCNN, 2012)

Efficient design of triplet based Spike-Timing Dependent Plasticity. - Mostafa Rahimi Azghadi; Said F. Al-Sarawi; Nicolangelo Iannella; Derek Abbott (IJCNN, 2012)

A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders - Mostafa Rahimi Azghadi; Omid Kavehei; Keivan Navi (CoRR, 2012)

Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit. - Mostafa Rahimi Azghadi; Said F. Al-Sarawi; Derek Abbott; Nicolangelo Iannella (ICECS, 2013)

Programmable neuromorphic circuits for spike-based neural dynamics. - Mostafa Rahimi Azghadi; Saber Moradi; Giacomo Indiveri (NEWCAS, 2013)

A new compact analog VLSI model for Spike Timing Dependent Plasticity. - Mostafa Rahimi Azghadi; Said F. Al-Sarawi; Nicolangelo Iannella; Derek Abbott (VLSI-SoC, 2013)

A neuromorphic VLSI design for spike timing and rate based synaptic plasticity. - Mostafa Rahimi Azghadi; Said F. Al-Sarawi; Derek Abbott; Nicolangelo Iannella (Neural Networks, 2013)

Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges. - Mostafa Rahimi Azghadi; Nicolangelo Iannella; Said F. Al-Sarawi; Giacomo Indiveri; Derek Abbott (Proc. IEEE, 2014)

Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata. - Samira Sayedsalehi; Mostafa Rahimi Azghadi; Shaahin Angizi; Keivan Navi (Inf. Sci., 2015)

Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures. - Mostafa Rahimi Azghadi; Saber Moradi; Daniel Bernhard Fasnacht; Mehmet Sirin Ozdas; Giacomo Indiveri (ACM J. Emerg. Technol. Comput. Syst., 2015)

An enhanced MOSFET threshold voltage model for the 6-300 K temperature range. - Cong Nguyen Dao; Abdallah El Kass; Mostafa Rahimi Azghadi; Craig T. Jin; Jonathan Scott; Philip Heng Wai Leong (Microelectron. Reliab., 2017)

A Hybrid CMOS-Memristor Neuromorphic Synapse. - Mostafa Rahimi Azghadi; Bernabé Linares-Barranco; Derek Abbott; Philip Heng Wai Leong (IEEE Trans. Biomed. Circuits Syst., 2017)

Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System. - Corey Lammie; Tara Julia Hamilton; Mostafa Rahimi Azghadi (ISCAS, 2018)

Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System. - Corey Lammie; Tara Julia Hamilton; Mostafa Rahimi Azghadi (ISCAS, 2018)

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning. - Alex Olsen; Dmitry A. Konovalov; Bronson Philippa; Peter Ridd; Jake C. Wood; Jamie Johns; Wesley Banks; Benjamin Girgenti; Owen Kenny; James Whinney; Brendan Calvert; Mostafa Rahimi Azghadi; et al. (CoRR, 2018)

Variation-aware Binarized Memristive Networks. - Corey Lammie; Olga Krestinskaya; Alex Pappachen James; Mostafa Rahimi Azghadi (ICECS, 2019)

Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA. - Corey Lammie; Mostafa Rahimi Azghadi (ISCAS, 2019)

Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. - Corey Lammie; Wei Xiang 001; Mostafa Rahimi Azghadi (MWSCAS, 2019)

Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. - Corey Lammie; Alex Olsen; Tony Carrick; Mostafa Rahimi Azghadi (IEEE Access, 2019)

CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons. - Moslem Heidarpur; Arash Ahmadi; Majid Ahmadi; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures. - Corey Lammie; Tara Julia Hamilton; André van Schaik; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Design and analysis of efficient QCA reversible adders. - Sara Hashemi; Mostafa Rahimi Azghadi; Keivan Navi (J. Supercomput., 2019)

Biologically Plausible Contrast Detection using a Memristor Array. - Jason Eshraghian; Corey Lammie; Mostafa Rahimi Azghadi (ISCAS, 2020)

Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. - Corey Lammie; Mostafa Rahimi Azghadi (ISCAS, 2020)

MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures. - Corey Lammie; Mostafa Rahimi Azghadi (ISCAS, 2020)

Training Progressively Binarizing Deep Networks using FPGAs. - Corey Lammie; Wei Xiang 001; Mostafa Rahimi Azghadi (ISCAS, 2020)

Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. - Mostafa Rahimi Azghadi; Ying-Chen Chen; Jason Kamran Eshraghian; Jia Chen; Chih-Yang Lin; Amirali Amirsoleimani; Adnan Mehonic; Anthony J. Kenyon; Burt Fowler; Jack C. Lee; Yao-Feng Chang (Adv. Intell. Syst., 2020)

Affinity LCFCN: Learning to Segment Fish with Weak Supervision. - Issam H. Laradji; Alzayat Saleh; Pau Rodríguez; Derek Nowrouzezahrai; Mostafa Rahimi Azghadi; David Vázquez 001 (CoRR, 2020)

New analogue stop-learning control module using astrocyte for neuromorphic learning. - Milad Almasi; Gholamreza Karimi; Mahnaz Ranjbar; Mostafa Rahimi Azghadi (IET Circuits Devices Syst., 2020)

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. - Mostafa Rahimi Azghadi; Corey Lammie; Jason Kamran Eshraghian; Melika Payvand; Elisa Donati; Bernabé Linares-Barranco; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2020)

Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA. - Hajar Asgari; Babak Mazloom-Nezhad Maybodi; Melika Payvand; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst., 2020)

Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction. - Corey Lammie; Wei Xiang 001; Mostafa Rahimi Azghadi (ISCAS, 2021)

Automated Machine Learning for Healthcare and Clinical Notes Analysis. - Akram Mustafa; Mostafa Rahimi Azghadi (Comput., 2021)

Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey. - Mohammad Jahanbakht; Wei Xiang 001; Lajos Hanzo; Mostafa Rahimi Azghadi (IEEE Commun. Surv. Tutorials, 2021)

Memristive Stochastic Computing for Deep Learning Parameter Optimization. - Corey Lammie; Jason Kamran Eshraghian; Wei D. Lu; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. - Alzayat Saleh; Issam H. Laradji; Corey Lammie; David Vázquez 001; Carol A. Flavell; Mostafa Rahimi Azghadi (IEEE J. Biomed. Health Informatics, 2021)

Navigating Local Minima in Quantized Spiking Neural Networks. - Jason Kamran Eshraghian; Corey Lammie; Mostafa Rahimi Azghadi; Wei D. Lu (AICAS, 2022)

In-Memory Memristive Transformation Stage of Gaussian Random Number Generator. - Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (COINS, 2022)

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. - Corey Lammie; Jason Kamran Eshraghian; Chenqi Li; Amirali Amirsoleimani; Roman Genov; Wei D. Lu; Mostafa Rahimi Azghadi (ISCAS, 2022)

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. - Tim Zhang; Corey Lammie; Mostafa Rahimi Azghadi; Amirali Amirsoleimani; Majid Ahmadi; Roman Genov (MWSCAS, 2022)

Distributed Deep Learning and Energy-Efficient Real-Time Image Processing at the Edge for Fish Segmentation in Underwater Videos. - Mohammad Jahanbakht; Wei Xiang 001; Nathan J. Waltham; Mostafa Rahimi Azghadi (IEEE Access, 2022)

Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts. - Corey Lammie; Wei Xiang 001; Mostafa Rahimi Azghadi (Array, 2022)

Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey. - Alzayat Saleh; Marcus Sheaves; Mostafa Rahimi Azghadi (CoRR, 2022)

Transformer-based Self-Supervised Fish Segmentation in Underwater Videos. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (CoRR, 2022)

Unsupervised Fish Trajectory Tracking and Segmentation. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (CoRR, 2022)

A lightweight Transformer-based model for fish landmark detection. - Alzayat Saleh; David Jones; Dean R. Jerry; Mostafa Rahimi Azghadi (CoRR, 2022)

Machine Learning for Stress Monitoring from Wearable Devices: A Systematic Literature Review. - Gideon Vos; Kelly Trinh; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2022)

Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (CoRR, 2022)

Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks. - Mohammad Jahanbakht; Wei Xiang 001; Barbara J. Robson; Mostafa Rahimi Azghadi (Environ. Model. Softw., 2022)

MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. - Corey Lammie; Wei Xiang 001; Bernabé Linares-Barranco; Mostafa Rahimi Azghadi (Neurocomputing, 2022)

Sea Surface Temperature Forecasting With Ensemble of Stacked Deep Neural Networks. - Mohammad Jahanbakht; Wei Xiang 001; Mostafa Rahimi Azghadi (IEEE Geosci. Remote. Sens. Lett., 2022)

Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis. - Mohammad Jahanbakht; Wei Xiang 001; Mostafa Rahimi Azghadi (Neural Networks, 2022)

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. - Chenqi Li; Corey Lammie; Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (IEEE Trans. Biomed. Circuits Syst., 2022)

Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing. - Shuangming Yang; Jiang Wang 002; Bin Deng 001; Mostafa Rahimi Azghadi; Bernabé Linares-Barranco (IEEE Trans. Neural Networks Learn. Syst., 2022)

CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning. - Shuangming Yang; Jiang Wang 002; Nan Zhang; Bin Deng 001; Yanwei Pang; Mostafa Rahimi Azghadi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Synthetic Simulations Of Extracellular Recordings (SSOER) Dataset. - Timothy Zhang; Corey Lammie; Amirali Amirsoleimani; Majid Ahmadi; Mostafa Rahimi Azghadi; Roman Genov (Zenodo, 2022)

STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality. - Zhengyu Cai; Hamid Rahimian Kalatehbali; Ben Walters; Mostafa Rahimi Azghadi; Amirali Amirsoleimani; Roman Genov (BioCAS, 2023)

MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals. - Hao You; Jianxiong Xu; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (BioCAS, 2023)

Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems. - Shuangming Yang; Haowen Wang; Mostafa Rahimi Azghadi (I2MTC, 2023)

SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction. - Tim Zhang; Amirali Amirsoleimani; Jason K. Eshraghian; Mostafa Rahimi Azghadi; Roman Genov; Yu Xia 002 (ISCAS, 2023)

High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology. - Mohammad Khaleqi Qaleh Jooq; Mostafa Rahimi Azghadi; Fereshteh Behbahani; Alaaddin Al-Shidaifat; Hanjung Song (IEEE Access, 2023)

Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization. - Alzayat Saleh; Md. Mehedi Hasan; Herman W. Raadsma; Mehar S. Khatkar; Dean R. Jerry; Mostafa Rahimi Azghadi (CoRR, 2023)

V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges. - Tao Huang 008; Jianan Liu; Xi Zhou; Dinh C. Nguyen; Mostafa Rahimi Azghadi; Yuxuan Xia; Qing-Long Han; Sumei Sun (CoRR, 2023)

Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks. - Chenqi Li; Corey Lammie; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (Softw. Impacts, 2023)

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review. - Gideon Vos; Kelly Trinh; Zoltan Sarnyai; Mostafa Rahimi Azghadi (Int. J. Medical Informatics, 2023)

Efficient Memristive Stochastic Differential Equation Solver. - Xuening Dong; Louis Primeau; Roman Genov; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (Adv. Intell. Syst., 2023)

A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits. - Ben Walters; Mohan V. Jacob; Amirali Amirsoleimani; Mostafa Rahimi Azghadi (Adv. Intell. Syst., 2023)

Security and privacy problems in voice assistant applications: A survey. - Jingjin Li; Chao Chen 015; Mostafa Rahimi Azghadi; Hossein Ghodosi; Lei Pan 002; Jun Zhang 010 (Comput. Secur., 2023)

Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos. - Mohammad Jahanbakht; Mostafa Rahimi Azghadi; Nathan J. Waltham (Ecol. Informatics, 2023)

Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks. - Zhengyu Cai; Hamid Rahimian Kalatehbali; Ben Walters; Mostafa Rahimi Azghadi; Amirali Amirsoleimani; Roman Genov (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices. - Gideon Vos; Kelly Trinh; Zoltan Sarnyai; Mostafa Rahimi Azghadi (J. Biomed. Informatics, 2023)

SOMeL: Multi-Granular Optimized Framework for Digital Neuromorphic Meta-Learning. - Shuangming Yang; Qing He; Mostafa Rahimi Azghadi (I2MTC, 2024)

Toward Accurate Analysis of Channel Charge Injection in SAR ADCs' Capacitive DACs. - Alireza Ahrar; Jianxiong Xu; Mohammad Reza Pazhouhandeh; Antoine Frappé; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (ISCAS, 2024)

In-Memory Transformer Self-Attention Mechanism Using Passive Memristor Crossbar. - Jack Cai; Muhammad Ahsan Kaleem; Roman Genov; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (ISCAS, 2024)

Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks. - Zhengyu Cai; Hamid Rahimian Kalatehbali; Ben Walters; Mostafa Rahimi Azghadi; Roman Genov; Amirali Amirsoleimani (ISCAS, 2024)

NURODE: In-Memory Crossbar Core for Hodgkin-Huxley Model ODE-Based Computations. - Andy Gong; Mostafa Rahimi Azghadi; Roman Genov; Amirali Amirsoleimani (ISCAS, 2024)

BITLITE: Light Bit-wise Operative Vector Matrix Multiplication for Low-Resolution Platforms. - Vince Tran; Demeng Chen; Roman Genov; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (ISCAS, 2024)

Spiking Auto-Encoder Using Error Modulated Spike Timing Dependant Plasticity. - Ben Walters; Zhengyu Cai; Hamid Rahimian Kalatehbali; Amirali Amirsoleimani; Roman Genov; Jason Eshraghian; Mostafa Rahimi Azghadi (ISCAS, 2024)

SAR-MemPipe: A Hybrid Pipeline-SAR Memristive ADC for Analog Resistive Arrays. - Hao You; Jianxiong Xu; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (ISCAS, 2024)

POD: PCM-Based Computing Platform for Object Detection in Biomedical Imaging Application. - Demeng Chen; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov; Majid Ahmadi (LASCAS, 2024)

Manhattan Rule for Robust In-Situ Training of Memristive Deep Neural Network Accelerators. - Ellina Zhang; Jack Cai; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov; Majid Ahmadi (MWSCAS, 2024)

WeedCLR: Weed contrastive learning through visual representations with class-optimized loss in long-tailed datasets. - Alzayat Saleh; Alex Olsen; Jake C. Wood; Bronson Philippa; Mostafa Rahimi Azghadi (Comput. Electron. Agric., 2024)

Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes - A Real-World Case Study. - Mostafa Rahimi Azghadi; Alex Olsen; Jake C. Wood; Alzayat Saleh; Brendan Calvert; Terry Granshaw; Emilie Fillols; Bronson Philippa (CoRR, 2024)

ShadowRemovalNet: Efficient Real-Time Shadow Removal. - Alzayat Saleh; Alex Olsen; Jake C. Wood; Bronson Philippa; Mostafa Rahimi Azghadi (CoRR, 2024)

Evolution and challenges of computer vision and deep learning technologies for analysing mixed construction and demolition waste. - Adrian Langley; Matthew Lonergan; Tao Huang 008; Mostafa Rahimi Azghadi (CoRR, 2024)

Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation. - Alzayat Saleh; Melanie Olsen; Bouchra Senadji; Mostafa Rahimi Azghadi (CoRR, 2024)

Machine Learning for Asymptomatic Ratoon Stunting Disease Detection With Freely Available Satellite Based Multispectral Imaging. - Ethan Kane Waters; Carla Chia-Ming Chen; Mostafa Rahimi Azghadi (CoRR, 2024)

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2024)

SITU: Stochastic input encoding and weight update thresholding for efficient memristive neural network in-situ training. - Xuening Dong; Brian Chen; Roman Genov; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (Neurocomputing, 2024)

Efficient sparse spiking auto-encoder for reconstruction, denoising and classification. - Ben Walters; Hamid Rahimian Kalatehbali; Zhengyu Cai; Roman Genov; Amirali Amirsoleimani; Jason Eshraghian; Mostafa Rahimi Azghadi (Neuromorph. Comput. Eng., 2024)

WALLAX: A memristor-based Gaussian random number generator. - Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (Neurocomputing, 2024)

Unsupervised character recognition with graphene memristive synapses. - Ben Walters; Corey Lammie; Shuangming Yang; Mohan V. Jacob; Mostafa Rahimi Azghadi (Neural Comput. Appl., 2024)

NADOL: Neuromorphic Architecture for Spike-Driven Online Learning by Dendrites. - Shuangming Yang; Haowen Wang; Yanwei Pang; Mostafa Rahimi Azghadi; Bernabé Linares-Barranco (IEEE Trans. Biomed. Circuits Syst., 2024)

Applications of deep learning in fish habitat monitoring: A tutorial and survey. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (Expert Syst. Appl., 2024)

How to track and segment fish without human annotations: a self-supervised deep learning approach. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (Pattern Anal. Appl., 2024)

A Novel Hardware Solution for Efficient Approximate Fuzzy Image Edge Detection. - Fereshteh Behbahani; Mohammad Khaleqi Qaleh Jooq; Mohammad Hossein Moaiyeri; Mostafa Rahimi Azghadi (IEEE Trans. Fuzzy Syst., 2024)

A Capacitor-Saver Redundant SAR ADC to Optimize Readout in Compute In-Memory Systems. - Alireza Ahrar; Aliasghar Makhlooghpour; Xuanhao Lu; Jianxiong Xu; Mostafa Rahimi Azghadi; Hossein Kassiri; Amirali Amirsoleimani (ISCAS, 2025)

MATSORT: Fast and Efficient Approximate Matrix Sorting Algorithm for DNN Applications. - Xuanhao Lu; Alireza Ahrar; Mostafa Rahimi Azghadi; Roman Genov; Amirali Amirsoleimani (ISCAS, 2025)

Spiking Auto-Encoder for Static and Spatio-Temporal Neuromorphic Pattern Reconstruction. - Ben Walters; Yeshwanth Bethi; Hamid Rahimian Kalatehbali; Saeed Afshar; Amirali Amirsoleimani; Mostafa Rahimi Azghadi (ISCAS, 2025)

Drone-Based Sound Source Localization: A Systematic Literature Review. - Sérgio F. Chevtchenko; Belman Jahir Rodríguez; Rafaella Vale; Abishek Soti; Yeshwanth Bethi; Naqib Ibnul; Alexandre Marcireau; Mostafa Rahimi Azghadi; Andrew Wabnitz; Saeed Afshar (IEEE Access, 2025)

Precision robotic spot-spraying: Reducing herbicide use and enhancing environmental outcomes in sugarcane. - Mostafa Rahimi Azghadi; Alex Olsen; Jake C. Wood; Alzayat Saleh; Brendan Calvert; Terry Granshaw; Emilie Fillols; Bronson Philippa (Comput. Electron. Agric., 2025)

Semi-supervised weed detection for rapid deployment and enhanced efficiency. - Alzayat Saleh; Alex Olsen; Jake C. Wood; Bronson Philippa; Mostafa Rahimi Azghadi (Comput. Electron. Agric., 2025)

Sugarcane health monitoring with satellite spectroscopy and machine learning: A review. - Ethan Kane Waters; Carla Chia-Ming Chen; Mostafa Rahimi Azghadi (Comput. Electron. Agric., 2025)

Stabilizing machine learning for reproducible and explainable results: A novel validation approach to subject-specific insights. - Gideon Vos; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (Comput. Methods Programs Biomed., 2025)

FieldNet: Efficient real-time shadow removal for enhanced vision in field robotics. - Alzayat Saleh; Alex Olsen; Jake C. Wood; Bronson Philippa; Mostafa Rahimi Azghadi (Expert Syst. Appl., 2025)

Adaptive deep learning framework for robust unsupervised underwater image enhancement. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (Expert Syst. Appl., 2025)

Large language models vs human for classifying clinical documents. - Akram Mustafa; Usman Naseem; Mostafa Rahimi Azghadi (Int. J. Medical Informatics, 2025)

Stress monitoring using low-cost electroencephalogram devices: A systematic literature review. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (Int. J. Medical Informatics, 2025)

NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing. - Ben Walters; Yeshwanth Bethi; Taylor Kergan; Binh Nguyen; Amirali Amirsoleimani; Jason K. Eshraghian; Saeed Afshar; Mostafa Rahimi Azghadi (CoRR, 2025)

Clustered Automated Machine Learning (CAML) model for clinical coding multi-label classification. - Akram Mustafa; Mostafa Rahimi Azghadi (Int. J. Mach. Learn. Cybern., 2025)

Can Reasoning LLMs Enhance Clinical Document Classification? - Akram Mustafa; Usman Naseem; Mostafa Rahimi Azghadi (CoRR, 2025)

A Statistical Approach for Synthetic EEG Data Generation. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2025)

Overcoming annotation bottlenecks in underwater fish segmentation: a robust self-supervised learning approach. - Alzayat Saleh; Marcus Sheaves; Dean R. Jerry; Mostafa Rahimi Azghadi (Signal Image Video Process., 2025)

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior. - Yanlong Yang; Jianan Liu; Guanxiong Luo; Hao Li 034; Euijoon Ahn; Mostafa Rahimi Azghadi; Tao Huang 008 (CoRR, 2025)

Advancements in Weed Mapping: A Systematic Review. - Mohammad Jahanbakht; Alex Olsen; Ross Marchant; Emilie Fillols; Mostafa Rahimi Azghadi (CoRR, 2025)

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs. - Akram Mustafa; Usman Naseem; Mostafa Rahimi Azghadi (CoRR, 2025)

Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization. - Gideon Vos; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2025)

Decoding Neural Emotion Patterns through Natural Language Processing Embeddings. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2025)