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Internet of Underwater Things and Big Marine Data Analytics-A Comprehensive Survey

IEEE Communications surveys and tutorials, 2021-01, Vol.23 (2), p.904-956

2021

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CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons

IEEE transactions on circuits and systems. I, Regular papers, 2019-07, Vol.66 (7), p.2651-2661

2019

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Computer vision and deep learning for fish classification in underwater habitats: A survey

Fish and fisheries (Oxford, England), 2022-07, Vol.23 (4), p.977-999

2022

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Automated Machine Learning for Healthcare and Clinical Notes Analysis

Computers (Basel), 2021-02, Vol.10 (2), p.24

2021

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A Hybrid CMOS-Memristor Neuromorphic Synapse

IEEE transactions on biomedical circuits and systems, 2017-04, Vol.11 (2), p.434-445

2017

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Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures

IEEE transactions on circuits and systems. I, Regular papers, 2019-04, Vol.66 (4), p.1558-1570

2019

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Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges

Proceedings of the IEEE, 2014-05, Vol.102 (5), p.717-737

2014

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Weakly supervised underwater fish segmentation using affinity LCFCN

Scientific reports, 2021-08, Vol.11 (1), p.17379-17379, Article 17379

2021

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Design and analysis of efficient QCA reversible adders

The Journal of supercomputing, 2019-04, Vol.75 (4), p.2106-2125

2019

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Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge

IEEE access, 2019, Vol.7, p.51171-51184

2019

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Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing

Advanced intelligent systems, 2020-05, Vol.2 (5), p.n/a

2020

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How to track and segment fish without human annotations: a self-supervised deep learning approach

Pattern analysis and applications : PAA, 2024-03, Vol.27 (1), Article 4

2024

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Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.7126-7140

2022

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CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning

IEEE transaction on neural networks and learning systems, 2022-09, Vol.33 (9), p.4398-4412

2022

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

Array (New York), 2022-03, Vol.13, p.100116, Article 100116

2022

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Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks

IEEE journal on emerging and selected topics in circuits and systems, 2023-12, Vol.13 (4), p.1083-1093

2023

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A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits

Advanced intelligent systems, 2023-10, Vol.5 (10), p.n/a

2023

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A neuromorphic VLSI design for spike timing and rate based synaptic plasticity

Neural networks, 2013-09, Vol.45, p.70-82

2013

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Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity

PloS one, 2014-02, Vol.9 (2), p.e88326-e88326

2014

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Efficient sparse spiking auto-encoder for reconstruction, denoising and classification

Neuromorphic computing and engineering, 2024-09, Vol.4 (3), p.34005

2024

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Sea Surface Temperature Forecasting With Ensemble of Stacked Deep Neural Networks

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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Applications of deep learning in fish habitat monitoring: A tutorial and survey

Expert systems with applications, 2024-03, Vol.238, p.121841, Article 121841

2024

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Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review

International journal of medical informatics (Shannon, Ireland), 2023-05, Vol.173, p.105026-105026, Article 105026

2023

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MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems

Neurocomputing (Amsterdam), 2022-05, Vol.485, p.124-133

2022

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Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations

Semiconductor science and technology, 2021-06, Vol.36 (6), p.65003

2021

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Internet of Underwater Things and Big Marine Data Analytics-A Comprehensive Survey

CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons

Computer vision and deep learning for fish classification in underwater habitats: A survey

Automated Machine Learning for Healthcare and Clinical Notes Analysis

A Hybrid CMOS-Memristor Neuromorphic Synapse

Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures

Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges

Weakly supervised underwater fish segmentation using affinity LCFCN

Design and analysis of efficient QCA reversible adders

Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge

Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing

How to track and segment fish without human annotations: a self-supervised deep learning approach

Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing

CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning

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

Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks

A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits

A neuromorphic VLSI design for spike timing and rate based synaptic plasticity

Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity

Efficient sparse spiking auto-encoder for reconstruction, denoising and classification

Sea Surface Temperature Forecasting With Ensemble of Stacked Deep Neural Networks

Applications of deep learning in fish habitat monitoring: A tutorial and survey

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review

MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems

Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations

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