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A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort

Journal of medical systems, 2021-03, Vol.45 (3), p.28, Article 28

2021

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Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.423-434

2021

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UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

IEEE access, 2023, Vol.11, p.595-645

2023

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Analysis of non-dimensional forms of singular perturbation structures for hypersonic vehicles

Acta astronautica, 2010-02, Vol.66 (3), p.577-586

Subbaram Naidu, D.

2010

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COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Diagnostics (Basel), 2021-08, Vol.11 (8), p.1405

2021

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Singular Perturbations and Time Scales in Guidance and Control of Aerospace Systems: A Survey

Journal of guidance, control, and dynamics, 2001-11, Vol.24 (6), p.1057-1078

2001

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Hybrid fusion of linear, non-linear and spectral models for the dynamic modeling of sEMG and skeletal muscle force: An application to upper extremity amputation

Computers in biology and medicine, 2013-11, Vol.43 (11), p.1815-1826

2013

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Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective

IEEE journal of biomedical and health informatics, 2021-11, Vol.25 (11), p.4128-4139

2021

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Fusion of Hard and Soft Control Strategies for the Robotic Hand

1, 2017

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Singular perturbation analysis of a flexible beam used in underwater exploration

International journal of systems science, 2011-01, Vol.42 (1), p.183-194

Naidu, D. Subbaram

2011

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COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography

Frontiers in artificial intelligence, 2024-06, Vol.7, p.1304483

2024

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Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review

Frontiers in bioscience (Landmark. Print), 2021-11, Vol.26 (11), p.1312-1339

2021

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Hybrid control strategies for smart robotic hand

2017

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Nonlinear Finite-Horizon Regulation and Tracking for Systems with Incomplete State Information Using Differential State Dependent Riccati Equation

International Journal of Aerospace Engineering, 2014-01, Vol.2014 (2014), p.1-12

2014

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Aeroassisted Orbital Transfer: Guidance and Control Strategies

Subbaram Naidu, D

1994

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Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review

IEEE transactions on instrumentation and measurement, 2024, p.1-1

2024

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Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems-An overview: Part I: Hard control

HVAC&R research, 2011-02, Vol.17 (1), p.2-21

2011

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Modeling, Sensing and Control of Gas Metal Arc Welding

1, 2003

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Advanced control strategies for HVAC&R systems-An overview: Part II: Soft and fusion control

HVAC&R research, 2011-04, Vol.17 (2), p.144-158

2011

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COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Computers in biology and medicine, 2020-09, Vol.124, p.103960-103960, Article 103960

2020

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Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0

Computers in biology and medicine, 2022-07, Vol.146, p.105571-105571, Article 105571

2022

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A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Computers in biology and medicine, 2021-03, Vol.130, p.104210-104210, Article 104210

2021

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Nonlinear Optimal Tracking For Missile Gimbaled Seeker Using Finite-Horizon State Dependent Riccati Equation

International Journal of Electronics and Telecommunications, 2014-06, Vol.60 (2), p.165-171

2014

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Artificial intelligence bias in medical system designs: a systematic review

Multimedia tools and applications, 2024-02, Vol.83 (6), p.18005-18057

2024

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A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

Analysis of non-dimensional forms of singular perturbation structures for hypersonic vehicles

COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Singular Perturbations and Time Scales in Guidance and Control of Aerospace Systems: A Survey

Hybrid fusion of linear, non-linear and spectral models for the dynamic modeling of sEMG and skeletal muscle force: An application to upper extremity amputation

Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective

Fusion of Hard and Soft Control Strategies for the Robotic Hand

Singular perturbation analysis of a flexible beam used in underwater exploration

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography

Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review

Hybrid control strategies for smart robotic hand

Nonlinear Finite-Horizon Regulation and Tracking for Systems with Incomplete State Information Using Differential State Dependent Riccati Equation

Aeroassisted Orbital Transfer: Guidance and Control Strategies

Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review

Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems-An overview: Part I: Hard control

Modeling, Sensing and Control of Gas Metal Arc Welding

Advanced control strategies for HVAC&R systems-An overview: Part II: Soft and fusion control

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Nonlinear Optimal Tracking For Missile Gimbaled Seeker Using Finite-Horizon State Dependent Riccati Equation

Artificial intelligence bias in medical system designs: a systematic review

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