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Analyzing Heat Stress Among Metal Casting Workers Using Selected Thermal Indices: A Pilot Study During Winter Climatic Conditions

Advances in Modelling and Optimization of Manufacturing and Industrial Systems, 2023, p.25-34

2023

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State of the Art in Neural Networks and Their Applications: Volume 1

1, 2021

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Diabetes and Cardiovascular Disease

1, 2021

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Diabetes and Fundus OCT

1, 2020

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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Suri, Manan

1st ed. 2017 edition., 2017

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3D Printing

1, 2021

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Diabetes and Retinopathy

1, 2020

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Synaptic Plasticity with Memristive Nanodevices

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.17-43

2017

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Multiple Binary OxRAMs as Synapses for Convolutional Neural Networks

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.109-127

2017

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Exploiting Variability in Resistive Memory Devices for Cognitive Systems

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.175-195

2017

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Neuromemristive Systems: A Circuit Design Perspective

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.45-64

2017

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Hardware Spiking Artificial Neurons, Their Response Function, and Noises

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.1-16

2017

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Theoretical Analysis of Spike-Timing-Dependent Plasticity Learning with Memristive Devices

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.197-210

2017

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Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.129-149

2017

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Memristor-Based Platforms: A Comparison Between Continous-Time and Discrete-Time Cellular Neural Networks

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.65-79

2017

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Novel Biomimetic Si Devices for Neuromorphic Computing Architecture

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.151-174

2017

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Reinterpretation of Magnetic Tunnel Junctions as Stochastic Memristive Devices

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2017, Vol.31, p.81-107

2017

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Ophthalmological Imaging and Applications

1, 2014

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FEM-Based Thermal Modeling for Analyzing ECDM Process

Advances in Manufacturing Systems, 2021, p.213-225

2021

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Detection of retinal abnormalities in fundus image using CNN deep learning networks

State of the Art in Neural Networks and Their Applications, 2021

2021

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Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data

Neural Engineering Techniques for Autism Spectrum Disorder, 2021

2021

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Diagnosis of autism spectrum disorder by causal influence strength learned from resting-state fMRI data

Neural Engineering Techniques for Autism Spectrum Disorder, 2021

2021

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Data mining and machine learning techniques for early detection in autism spectrum disorder

Neural Engineering Techniques for Autism Spectrum Disorder, 2021

2021

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Exploring tree-based machine learning methods to predict autism spectrum disorder

Neural Engineering Techniques for Autism Spectrum Disorder, 2021

2021

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A survey of deep learning-based methods for cryo-electron tomography data analysis

State of the Art in Neural Networks and Their Applications, 2021

2021

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Analyzing Heat Stress Among Metal Casting Workers Using Selected Thermal Indices: A Pilot Study During Winter Climatic Conditions

State of the Art in Neural Networks and Their Applications: Volume 1

Diabetes and Cardiovascular Disease

Diabetes and Fundus OCT

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

3D Printing

Diabetes and Retinopathy

Synaptic Plasticity with Memristive Nanodevices

Multiple Binary OxRAMs as Synapses for Convolutional Neural Networks

Exploiting Variability in Resistive Memory Devices for Cognitive Systems

Neuromemristive Systems: A Circuit Design Perspective

Hardware Spiking Artificial Neurons, Their Response Function, and Noises

Theoretical Analysis of Spike-Timing-Dependent Plasticity Learning with Memristive Devices

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Memristor-Based Platforms: A Comparison Between Continous-Time and Discrete-Time Cellular Neural Networks

Novel Biomimetic Si Devices for Neuromorphic Computing Architecture

Reinterpretation of Magnetic Tunnel Junctions as Stochastic Memristive Devices

Ophthalmological Imaging and Applications

FEM-Based Thermal Modeling for Analyzing ECDM Process

Detection of retinal abnormalities in fundus image using CNN deep learning networks

Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data

Diagnosis of autism spectrum disorder by causal influence strength learned from resting-state fMRI data

Data mining and machine learning techniques for early detection in autism spectrum disorder

Exploring tree-based machine learning methods to predict autism spectrum disorder

A survey of deep learning-based methods for cryo-electron tomography data analysis

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