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0.01 Cent per Second: Developing a Cloud-based Cost-effective Audio Transcription System for an Online Video Learning Platform

2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2023, p.432-437

2023

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A 0.086-mm ^2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS

IEEE transactions on biomedical circuits and systems, 2019-02, Vol.13 (1), p.145-158

2019

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A 0.086-mm $^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS

IEEE transactions on biomedical circuits and systems, 2018, p.1-1

2018

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A 0-1 bat algorithm for cellular network optimisation: a systematic study on mapping techniques

International journal of reasoning-based intelligent systems, 2017, Vol.9 (1), p.22

2017

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0-1 Programming problem based on sticker model

2009 Fourth International on Conference on Bio-Inspired Computing, 2009, p.1-5

2009

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0.1 Raccontiamo la formazione: le scelte che hanno condotto alla proposta presentata in questo libro

Zappa, Cristiano

2014

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A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019, p.627-632

2019

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A 0.18µm CMOS narrow-band LNA linearization using digital base-band post-distortion

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 2010, p.998-1001

2010

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0.2 Lo scaffale delle meraviglie. Un’esperienza di organizzazione della formazione degli insegnanti nella scuola dell’infanzia

Salati, Enrico Mauro

2014

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A 0.21 μJ patient-specific REM/Non-REM sleep classifier for Alzheimer patients

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017, p.1-4

2017

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A 0.26% BER, 1028 Challenge-Response Machine-Learning Resistant Strong-PUF in 14nm CMOS Featuring Stability-Aware Adversarial Challenge Selection

2020 IEEE Symposium on VLSI Circuits, 2020, p.1-2

2020

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A 0.26% BER, machine-learning resistant 1028 challenge-response PUF in 14nm CMOS featuring stability-aware adversarial challenge selection: invited

Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference, 2020, p.1-3

2020

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0.3 Una sfida formativa: i linguaggi della narrazione

Salati, Enrico Mauro

2014

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0.3pJ/bit Machine Learning Resistant Strong Puf Using Subthreshold Voltage Divider Array

Venkatesh, Abilash

2019

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A 0.42V high bandwidth synthesizable parallel access smart memory fabric for computer vision

2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017, p.1-4

2017

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A 0.46pJ/bit Ultralow-Power Entropy-Preselection-Based Strong PUF with Worst-Case BER-6

2021 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2021, p.1-3

2021

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0 + 5 Vascular Surgery Residents’ Operative Experience in General Surgery: An Analysis of Operative Logs from 12 Integrated Programs

Journal of surgical education, 2016-05, Vol.73 (3), p.536-541

2016

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The 0-5 year old mentally handicapped child. 6. Learning for life

Nursing mirror (1977), 1981-12, Vol.153 (25), p.34

Goodwin, S

1981

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A 0.6-107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG

IEEE transactions on circuits and systems. I, Regular papers, 2014-04, Vol.61 (4), p.1105-1118

2014

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Les 0-6 ans et les écrans digitaux nomades. Évaluation de l’exposition et de ses effets à travers la littérature internationale

Neuropsychiatrie de l'enfance et de l'adolescence, 2020-06, Vol.68 (4), p.190-195

Clément, M.-N.

2020

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A 0.6 V, 3.3 nW, Adjustable Gaussian Circuit for Tunable Kernel Functions

2021 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI), 2021, p.1-6

2021

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A 0.64 mm2 Real-Time Cascade Face Detection Design Based on Reduced Two-Field Extraction

IEEE transactions on very large scale integration (VLSI) systems, 2011, Vol.19 (11), p.1937-1948

2011

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0.7 Å Resolution Electron Tomography Enabled by Deep‐Learning‐Aided Information Recovery

Advanced intelligent systems, 2020-12, Vol.2 (12), p.n/a

2020

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A 0.76 mm2 0.22 nJ/Pixel DL-Assisted 4K Video Encoder LSI for Quality-of-Experience Over Smartphones

IEEE solid-state circuits letters, 2018-12, Vol.1 (12), p.221-224

2018

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A 0.76MM2 0.22NJ/Pixel DL-Assisted 4K Video Encoder LSI for Quality-of-Experience Over Smart-Phones

2018 IEEE Symposium on VLSI Circuits, 2018, p.257-258

2018

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0.01 Cent per Second: Developing a Cloud-based Cost-effective Audio Transcription System for an Online Video Learning Platform

A 0.086-mm ^2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS

A 0.086-mm $^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS

A 0-1 bat algorithm for cellular network optimisation: a systematic study on mapping techniques

0-1 Programming problem based on sticker model

0.1 Raccontiamo la formazione: le scelte che hanno condotto alla proposta presentata in questo libro

A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance

A 0.18µm CMOS narrow-band LNA linearization using digital base-band post-distortion

0.2 Lo scaffale delle meraviglie. Un’esperienza di organizzazione della formazione degli insegnanti nella scuola dell’infanzia

A 0.21 μJ patient-specific REM/Non-REM sleep classifier for Alzheimer patients

A 0.26% BER, 1028 Challenge-Response Machine-Learning Resistant Strong-PUF in 14nm CMOS Featuring Stability-Aware Adversarial Challenge Selection

A 0.26% BER, machine-learning resistant 1028 challenge-response PUF in 14nm CMOS featuring stability-aware adversarial challenge selection: invited

0.3 Una sfida formativa: i linguaggi della narrazione

0.3pJ/bit Machine Learning Resistant Strong Puf Using Subthreshold Voltage Divider Array

A 0.42V high bandwidth synthesizable parallel access smart memory fabric for computer vision

A 0.46pJ/bit Ultralow-Power Entropy-Preselection-Based Strong PUF with Worst-Case BER-6

0 + 5 Vascular Surgery Residents’ Operative Experience in General Surgery: An Analysis of Operative Logs from 12 Integrated Programs

The 0-5 year old mentally handicapped child. 6. Learning for life

A 0.6-107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG

Les 0-6 ans et les écrans digitaux nomades. Évaluation de l’exposition et de ses effets à travers la littérature internationale

A 0.6 V, 3.3 nW, Adjustable Gaussian Circuit for Tunable Kernel Functions

A 0.64 mm2 Real-Time Cascade Face Detection Design Based on Reduced Two-Field Extraction

0.7 Å Resolution Electron Tomography Enabled by Deep‐Learning‐Aided Information Recovery

A 0.76 mm2 0.22 nJ/Pixel DL-Assisted 4K Video Encoder LSI for Quality-of-Experience Over Smartphones

A 0.76MM2 0.22NJ/Pixel DL-Assisted 4K Video Encoder LSI for Quality-of-Experience Over Smart-Phones

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