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Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network

Algorithms, 2024-01, Vol.17 (1), p.22

2024

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Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers

IEEE access, 2020, Vol.8, p.122135-122146

2020

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A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition

IEEE transactions on circuits and systems. I, Regular papers, 2020-11, Vol.67 (11), p.3893-3904

2020

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Tiny Machine Learning Zoo for Long-Term Compensation of Pressure Sensor Drifts

Electronics (Basel), 2023-12, Vol.12 (23), p.4819

2023

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A CNN-based image detector for plant leaf diseases classification

HardwareX, 2022-10, Vol.12, p.e00363-e00363, Article e00363

2022

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Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks

Data in brief, 2021-12, Vol.39, p.107538-107538, Article 107538

2021

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Forward Learning of Large Language Models by Consumer Devices

Electronics (Basel), 2024-01, Vol.13 (2), p.402

2024

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Field oriented control dataset of a 3-phase permanent magnet synchronous motor

Data in brief, 2023-04, Vol.47, p.109002-109002, Article 109002

2023

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Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring

Data in brief, 2020-12, Vol.33, p.106472-106472, Article 106472

2020

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A Quantitative Review of Automated Neural Search and On-Device Learning for Tiny Devices

Chips, 2023-05, Vol.2 (2), p.130-141

2023

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Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays

Data in brief, 2021-12, Vol.39, p.107576-107576, Article 107576

2021

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Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir

Electronics (Basel), 2021-11, Vol.10 (22), p.2836

2021

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AutoTinyML for microcontrollers: Dealing with black-box deployability

Expert systems with applications, 2022-11, Vol.207, p.117876, Article 117876

2022

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TinyRCE: Multipurpose Forward Learning for Resource Restricted Devices

IEEE sensors letters, 2023-10, Vol.7 (10), p.1-4

2023

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Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection

Microprocessors and microsystems, 2019-11, Vol.71, p.102895, Article 102895

2019

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A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS

IEEE transactions on circuits and systems. II, Express briefs, 2023-04, Vol.70 (4), p.1595-1599

2023

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TinyRCE: Multi Purpose Forward Learning for Resource Restricted Devices

IEEE sensors letters, 2023-08, p.1-4

2023

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Modelling the Field Oriented Control applied to a 3-phase Permanent Magnet Synchronous Motor

Software impacts, 2023-03, Vol.15, p.100479, Article 100479

2023

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Low-Power Detection and Classification for In-Sensor Predictive Maintenance Based on Vibration Monitoring

IEEE sensors journal, 2022-04, Vol.22 (7), p.6942-6951

2022

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A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

IEEE journal on emerging and selected topics in circuits and systems, 2021-09, Vol.11 (3), p.468-481

2021

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Frame buffer-less stream processor for accurate real-time interest point detection

Integration (Amsterdam), 2016-06, Vol.54, p.10-23

2016

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Tuning Deep Neural Network’s Hyperparameters Constrained to Deployability on Tiny Systems

Artificial Neural Networks and Machine Learning – ICANN 2020, p.92-103

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Highly-accurate binary tiny neural network for low-power human activity recognition

Microprocessors and microsystems, 2021-11, Vol.87, p.104371, Article 104371

2021

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Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-Axial Inertial Sensors

IEEE transactions on circuits and systems. II, Express briefs, 2020-06, Vol.67 (6), p.1124-1128

2020

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Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors

2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023, p.1-5

2023

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Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network

Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers

A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition

Tiny Machine Learning Zoo for Long-Term Compensation of Pressure Sensor Drifts

A CNN-based image detector for plant leaf diseases classification

Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks

Forward Learning of Large Language Models by Consumer Devices

Field oriented control dataset of a 3-phase permanent magnet synchronous motor

Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring

A Quantitative Review of Automated Neural Search and On-Device Learning for Tiny Devices

Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays

Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir

AutoTinyML for microcontrollers: Dealing with black-box deployability

TinyRCE: Multipurpose Forward Learning for Resource Restricted Devices

Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection

A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS

TinyRCE: Multi Purpose Forward Learning for Resource Restricted Devices

Modelling the Field Oriented Control applied to a 3-phase Permanent Magnet Synchronous Motor

Low-Power Detection and Classification for In-Sensor Predictive Maintenance Based on Vibration Monitoring

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

Frame buffer-less stream processor for accurate real-time interest point detection

Tuning Deep Neural Network’s Hyperparameters Constrained to Deployability on Tiny Systems

Highly-accurate binary tiny neural network for low-power human activity recognition

Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-Axial Inertial Sensors

Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors

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