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Refinado por: tipo de recurso: Standards remover
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Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development
Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development
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Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development

Rangaiah, Pramod K. B ; Kouki, Mokhtar ; Dhouibi, Yasmina ; Huss, Fredrik ; Mandal, Bappaditya ; Augustine, Bobins ; Perez, Mauricio David ; Augustine, Robin

Access, IEEE, 2023, Vol.11, p.4359-4372

IEEE

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2
A Qualitative and Quantitative Analysis of Research in Mobility Technologies for Visually Impaired People
A Qualitative and Quantitative Analysis of Research in Mobility Technologies for Visually Impaired People
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A Qualitative and Quantitative Analysis of Research in Mobility Technologies for Visually Impaired People

Madake, Jyoti ; Bhatlawande, Shripad ; Solanke, Anjali ; Shilaskar, Swati

Access, IEEE, 2023, Vol.11, p.82496-82520

IEEE

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3
User Experience: A Bibliometric Review of the Literature
User Experience: A Bibliometric Review of the Literature
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User Experience: A Bibliometric Review of the Literature

Zuo, Wuheng ; Mu, Baijun ; Fang, Hui ; Wan, Yuehua

Access, IEEE, 2023, Vol.11, p.12663-12676

IEEE

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4
A Bibliometric Statistical Analysis of the Fuzzy Inference System - based Classifiers
A Bibliometric Statistical Analysis of the Fuzzy Inference System - based Classifiers
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A Bibliometric Statistical Analysis of the Fuzzy Inference System - based Classifiers

Chen, Wenhao ; Ahmed, Md Manjur ; Sofiah, Wan Isni ; Isa, Nor Ashidi Mat ; Ebrahim, Nader Ale ; Hai, Tao

Access, IEEE, 2021, Vol.9, p.77811-77829

IEEE

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5
Optimal Sampling Requirements for Robust and Fast Vegetation High Impedance Fault Detection
Optimal Sampling Requirements for Robust and Fast Vegetation High Impedance Fault Detection
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Optimal Sampling Requirements for Robust and Fast Vegetation High Impedance Fault Detection

Ozansoy, Cagil Ramadan ; Zayegh, Aladin

Access, IEEE, 2023, Vol.11, p.42924-42936

IEEE

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6
Flood Depth Estimation in Agricultural Lands From L and C-Band Synthetic Aperture Radar Images and Digital Elevation Model
Flood Depth Estimation in Agricultural Lands From L and C-Band Synthetic Aperture Radar Images and Digital Elevation Model
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Flood Depth Estimation in Agricultural Lands From L and C-Band Synthetic Aperture Radar Images and Digital Elevation Model

Surampudi, Samvedya ; Kumar, Vijay

Access, IEEE, 2023, Vol.11, p.3241-3256

IEEE

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7
Generated Tests in the Context of Maintenance Tasks: A Series of Empirical Studies
Generated Tests in the Context of Maintenance Tasks: A Series of Empirical Studies
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Generated Tests in the Context of Maintenance Tasks: A Series of Empirical Studies

Herculano, Wesley B. R ; Alves, Everton L. G ; Mongiovi, Melina

Access, IEEE, 2022, Vol.10, p.121418-121443

IEEE

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8
The Impact of the Collective Members' Independence on the Prediction Accuracy
The Impact of the Collective Members' Independence on the Prediction Accuracy
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The Impact of the Collective Members' Independence on the Prediction Accuracy

Sitarczyk, Mateusz ; Nguyen, Ngoc-Thanh

Access, IEEE, 2021, Vol.9, p.111975-111984

IEEE

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9
Spatial Statistical Modeling of Rockfall Hazard in a Mountainous Road in Cantabria (Spain)
Spatial Statistical Modeling of Rockfall Hazard in a Mountainous Road in Cantabria (Spain)
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Spatial Statistical Modeling of Rockfall Hazard in a Mountainous Road in Cantabria (Spain)

Jato-Espino, Daniel ; Roldan-Valcarce, Alejandro ; Collazos-Arias, Felipe ; Rodriguez-Hernandez, Jorge

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2021, Vol.14, p.6729-6742

IEEE

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10
Application of Big Data Analytics and Machine Learning to Large-Scale Synchrophasor Datasets: Evaluation of Dataset 'Machine Learning-Readiness'
Application of Big Data Analytics and Machine Learning to Large-Scale Synchrophasor Datasets: Evaluation of Dataset 'Machine Learning-Readiness'
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Application of Big Data Analytics and Machine Learning to Large-Scale Synchrophasor Datasets: Evaluation of Dataset 'Machine Learning-Readiness'

Hart, Philip ; He, Lijun ; Wang, Tianyi ; Kumar, Vijay S ; Aggour, Kareem ; Subramanian, Arun ; Yan, Weizhong

Power and Energy, IEEE Open Access Journal of, 2022, Vol.9, p.386-397

IEEE

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