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Stable and explainable deep learning damage prediction for prismatic cantilever steel beam

Computers in industry, 2021-02, Vol.125, p.103359, Article 103359

2021

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Realizable algorithm for approximating Hilbert–Schmidt operators via Gabor multipliers

Journal of computational and applied mathematics, 2018-08, Vol.337, p.119-124

2018

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Increasing the image resolution using multi-windows spline-type spaces

Signal processing, 2014-10, Vol.103, p.195-200

M. Onchis, Darian

2014

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Generalized Goertzel algorithm for computing the natural frequencies of cantilever beams

Signal processing, 2014-03, Vol.96, p.45-50

2014

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A parallel Homological Spanning Forest framework for 2D topological image analysis

Pattern recognition letters, 2016-11, Vol.83 (1), p.49-58

2016

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A Neuro-Symbolic Classifier with Optimized Satisfiability for Monitoring Security Alerts in Network Traffic

Applied sciences, 2022-11, Vol.12 (22), p.11502

2022

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Method of Improving the Management of Cancer Risk Groups by Coupling a Features-Attention Mechanism to a Deep Neural Network

Applied sciences, 2024-01, Vol.14 (1), p.447

2024

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Editorial of the special issue TIAR: Topological image analysis and recognition

Pattern recognition letters, 2020-08, Vol.136, p.228-229

2020

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Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements

Current oncology (Toronto), 2022-06, Vol.29 (6), p.4212-4223

2022

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Stability of Spline-Type Systems in the Abelian Case

Symmetry (Basel), 2017-12, Vol.10 (1), p.7-7

2017

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Optimized frames and multi-dimensional challenges in time-frequency analysis

Advances in computational mathematics, 2014-06, Vol.40 (3), p.703-709

Onchis, Darian M.

2014

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Time–frequency methods for condition based maintenance and modal analysis

Signal processing, 2014-03, Vol.96, p.iv-v

2014

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Explainable Machine Learning Solution for Observing Optimal Surgery Timings in Thoracic Cancer Diagnosis

Applied sciences, 2022-07, Vol.12 (13), p.6506

2022

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Timely-Automatic Procedure for Estimating the Endocardial Limits of the Left Ventricle Assessed Echocardiographically in Clinical Practice

Diagnostics (Basel), 2020-01, Vol.10 (1), p.40

2020

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Constructive realization of dual systems for generators of multi-window spline-type spaces

Journal of computational and applied mathematics, 2010-10, Vol.234 (12), p.3467-3479

2010

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Construction of approximate dual wavelet frames

Advances in computational mathematics, 2014-02, Vol.40 (1), p.273-282

2014

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A deep learning approach to condition monitoring of cantilever beams via time-frequency extended signatures

Computers in industry, 2019-02, Vol.105, p.177-181

Onchis, Habil. Darian M.

2019

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Approximate dual Gabor atoms via the adjoint lattice method

Advances in computational mathematics, 2014-06, Vol.40 (3), p.651-665

2014

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Observing damaged beams through their time–frequency extended signatures

Signal processing, 2014-03, Vol.96, p.16-20

Onchis, Darian

2014

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Explainability-Enhanced Neural Network for Thoracic Diagnosis Improvement

Computer Analysis of Images and Patterns, p.35-44

Volltextzugriff (PDF)

On Homotopy Continuation for Speech Restoration

Computational Topology in Image Context, 2016-06, p.152-156

2016

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Observing damaged beams through their time-frequency extended signatures: Time-frequency methods for condition based maintenance and modal analysis

Signal processing, 2014, Vol.96, p.16-20

ONCHIS, Darian

2014

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APPLICATION OF ARTIFICIAL INTELLIGENCE FOR PRE-SCREENING PROSTATE CANCER USING SHEAR WAVE ELASTOGRAPHY MEASURMENTS

Ultrasound in medicine & biology, 2022, Vol.48, p.S26-S27

2022

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Deep learning for fault diagnosis and prognosis in manufacturing systems

Computers in industry, 2019-09, Vol.110, p.1-2

2019

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Neuro-symbolic model for cantilever beams damage detection

Computers in industry, 2023-10, Vol.151, p.103991, Article 103991

2023

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Stable and explainable deep learning damage prediction for prismatic cantilever steel beam

Realizable algorithm for approximating Hilbert–Schmidt operators via Gabor multipliers

Increasing the image resolution using multi-windows spline-type spaces

Generalized Goertzel algorithm for computing the natural frequencies of cantilever beams

A parallel Homological Spanning Forest framework for 2D topological image analysis

A Neuro-Symbolic Classifier with Optimized Satisfiability for Monitoring Security Alerts in Network Traffic

Method of Improving the Management of Cancer Risk Groups by Coupling a Features-Attention Mechanism to a Deep Neural Network

Editorial of the special issue TIAR: Topological image analysis and recognition

Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements

Stability of Spline-Type Systems in the Abelian Case

Optimized frames and multi-dimensional challenges in time-frequency analysis

Time–frequency methods for condition based maintenance and modal analysis

Explainable Machine Learning Solution for Observing Optimal Surgery Timings in Thoracic Cancer Diagnosis

Timely-Automatic Procedure for Estimating the Endocardial Limits of the Left Ventricle Assessed Echocardiographically in Clinical Practice

Constructive realization of dual systems for generators of multi-window spline-type spaces

Construction of approximate dual wavelet frames

A deep learning approach to condition monitoring of cantilever beams via time-frequency extended signatures

Approximate dual Gabor atoms via the adjoint lattice method

Observing damaged beams through their time–frequency extended signatures

Explainability-Enhanced Neural Network for Thoracic Diagnosis Improvement

On Homotopy Continuation for Speech Restoration

Observing damaged beams through their time-frequency extended signatures: Time-frequency methods for condition based maintenance and modal analysis

APPLICATION OF ARTIFICIAL INTELLIGENCE FOR PRE-SCREENING PROSTATE CANCER USING SHEAR WAVE ELASTOGRAPHY MEASURMENTS

Deep learning for fault diagnosis and prognosis in manufacturing systems

Neuro-symbolic model for cantilever beams damage detection

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