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1
Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm
Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm
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Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

Bulletin of the Polish Academy of Sciences. Technical sciences, 2023, Vol.71 (3), p.144615-144615 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2023.144615

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2
Application of deep learning neural networks for the diagnosis of electrical damage to the induction motor using the axial flux
Application of deep learning neural networks for the diagnosis of electrical damage to the induction motor using the axial flux
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Application of deep learning neural networks for the diagnosis of electrical damage to the induction motor using the axial flux

Bulletin of the Polish Academy of Sciences. Technical sciences, 2020-10, Vol.68 (5), p.1031-1038 [Peer Reviewed Journal]

2020. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2020.134664

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3
Artificial neural network for solving the inverse kinematic model of a spatial and planar variable curvature continuum robot
Artificial neural network for solving the inverse kinematic model of a spatial and planar variable curvature continuum robot
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Artificial neural network for solving the inverse kinematic model of a spatial and planar variable curvature continuum robot

Archive of Mechanical Engineering, 2022-10, Vol.69 (4), p.595-613 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-0738 ;EISSN: 2300-1895 ;DOI: 10.24425/ame.2022.141518

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4
Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm
Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm
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Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm

Bulletin of the Polish Academy of Sciences. Technical sciences, 2023, Vol.71 (5), p.146474-146474 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2023.146474

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5
Aspect-based sentiment classification model employing whale-optimized adaptive neural network
Aspect-based sentiment classification model employing whale-optimized adaptive neural network
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Aspect-based sentiment classification model employing whale-optimized adaptive neural network

Bulletin of the Polish Academy of Sciences. Technical sciences, 2021-05, Vol.69 (3), p.137271-137271 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2021.137271

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6
Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks
Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks
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Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks

Bulletin of the Polish Academy of Sciences. Technical sciences, 2020-10, Vol.68 (5), p.1039-1048 [Peer Reviewed Journal]

2020. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2020.134660

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7
Convolutional Neural Network Model Based Human Wearable Smart Ring System: Agent Approach
Convolutional Neural Network Model Based Human Wearable Smart Ring System: Agent Approach
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Convolutional Neural Network Model Based Human Wearable Smart Ring System: Agent Approach

International Journal of Electronics and Telecommunications, 2021-01, Vol.67 (4), p.673-678 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2081-8491 ;EISSN: 2300-1933 ;DOI: 10.24425/ijet.2021.137861

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8
Artificial neural networks in mechanical surface enhancement technique for the prediction of surface roughness and microhardness of magnesium alloy
Artificial neural networks in mechanical surface enhancement technique for the prediction of surface roughness and microhardness of magnesium alloy
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Artificial neural networks in mechanical surface enhancement technique for the prediction of surface roughness and microhardness of magnesium alloy

Bulletin of the Polish Academy of Sciences. Technical sciences, 2019-01, Vol.67 (4), p.729-739 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2019.130182

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9
Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks
Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks
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Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks

Bulletin of the Polish Academy of Sciences. Technical sciences, 2020-04, Vol.68 (2), p.191-198 [Peer Reviewed Journal]

2020. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2020.131843

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10
Predicting Index to Complete Schedule Performance Indicator in Highway Projects Using Artificial Neural Network Model
Predicting Index to Complete Schedule Performance Indicator in Highway Projects Using Artificial Neural Network Model
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Predicting Index to Complete Schedule Performance Indicator in Highway Projects Using Artificial Neural Network Model

Archives of civil engineering, 2020-01, Vol.66 (3), p.541-554 [Peer Reviewed Journal]

2020. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1230-2945 ;EISSN: 2300-3103 ;DOI: 10.24425/ace.2020.134412

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11
A comparative analysis of artificial neural network predictive and multiple linear regression models for ground settlement during tunnel construction
A comparative analysis of artificial neural network predictive and multiple linear regression models for ground settlement during tunnel construction
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A comparative analysis of artificial neural network predictive and multiple linear regression models for ground settlement during tunnel construction

Archives of civil engineering, 2023-01, Vol.69 (2), p.503-515 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1230-2945 ;EISSN: 2300-3103 ;DOI: 10.24425/ace.2023.145281

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12
Machine vision based Vernier caliper reading technology research
Machine vision based Vernier caliper reading technology research
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Machine vision based Vernier caliper reading technology research

Metrology and Measurement systems, 2022-01, Vol.29 (4), p.779-793 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1941 ;ISSN: 2080-9050 ;EISSN: 2300-1941 ;DOI: 10.24425/mms.2022.143070

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13
Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises
Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises
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Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises

International Journal of Electronics and Telecommunications, 2023-01, Vol.69 (4), p.697-705 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2081-8491 ;EISSN: 2300-1933 ;DOI: 10.24425/ijet.2023.147690

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14
Identification of longitudinal aerodynamic characteristics of a strake-wing micro aerial vehicle by using artificial neural networks
Identification of longitudinal aerodynamic characteristics of a strake-wing micro aerial vehicle by using artificial neural networks
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Identification of longitudinal aerodynamic characteristics of a strake-wing micro aerial vehicle by using artificial neural networks

Bulletin of the Polish Academy of Sciences. Technical sciences, 2021-08, Vol.69 (4), p.137508-137508 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1917 ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2021.137508

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15
Information Technologies for Assessing the Quality of IT-specialties Graduates' Training of University by Means of Fuzzy Logic and Neural Networks
Information Technologies for Assessing the Quality of IT-specialties Graduates' Training of University by Means of Fuzzy Logic and Neural Networks
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Information Technologies for Assessing the Quality of IT-specialties Graduates' Training of University by Means of Fuzzy Logic and Neural Networks

International Journal of Electronics and Telecommunications, 2020-01, Vol.66 (3), p.411-416 [Peer Reviewed Journal]

2020. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2081-8491 ;EISSN: 2300-1933 ;DOI: 10.24425/ijet.2020.131893

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16
Application Of Artificial Neural Network for Prediction of the Cyclic Oxidation Behavior of Electrical Resistance Sintered Gamma-TiAl Intermetallics
Application Of Artificial Neural Network for Prediction of the Cyclic Oxidation Behavior of Electrical Resistance Sintered Gamma-TiAl Intermetallics
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Application Of Artificial Neural Network for Prediction of the Cyclic Oxidation Behavior of Electrical Resistance Sintered Gamma-TiAl Intermetallics

Archives of metallurgy and materials, 2021-01, Vol.66 (2), p.581-591 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2300-1909 ;ISSN: 1733-3490 ;EISSN: 2300-1909 ;DOI: 10.24425/amm.2021.135895

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17
The assessment of artificial neural network rainfall-runoff models under different input meteorological parameters Case study: Seybouse basin, Northeast Algeria
The assessment of artificial neural network rainfall-runoff models under different input meteorological parameters Case study: Seybouse basin, Northeast Algeria
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The assessment of artificial neural network rainfall-runoff models under different input meteorological parameters Case study: Seybouse basin, Northeast Algeria

Journal of water and land development, 2021-08, p.38-47 [Peer Reviewed Journal]

ISSN: 2083-4535 ;EISSN: 2083-4535 ;DOI: 10.24425/jwld.2021.138158

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18
The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness
The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness
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The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness

International Journal of Electronics and Telecommunications, 2019-01, Vol.65 (3), p.359-365 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2081-8491 ;EISSN: 2300-1933 ;DOI: 10.24425/ijet.2019.126322

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19
Assessing domestic factors determining water consumption in a semi-arid area (Sedrata City) using artificial neural networks and principal component analysis
Assessing domestic factors determining water consumption in a semi-arid area (Sedrata City) using artificial neural networks and principal component analysis
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Assessing domestic factors determining water consumption in a semi-arid area (Sedrata City) using artificial neural networks and principal component analysis

Journal of water and land development, 2021-04, p.219-228 [Peer Reviewed Journal]

ISSN: 2083-4535 ;EISSN: 2083-4535 ;DOI: 10.24425/jwld.2021.137115

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20
Concept of soil temperature coefficient for determining spatial distribution of soil temperature, using physiographic parameters of the basin and artificial neural network (ANN)
Concept of soil temperature coefficient for determining spatial distribution of soil temperature, using physiographic parameters of the basin and artificial neural network (ANN)
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Concept of soil temperature coefficient for determining spatial distribution of soil temperature, using physiographic parameters of the basin and artificial neural network (ANN)

Acta Scientiarum Polonorum. Formatio Circumiectus, 2018-01, Vol.17 (2), p.95-103 [Peer Reviewed Journal]

ISSN: 1644-0765 ;DOI: 10.15576/ASP.FC/2018.17.2.95

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