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Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters

Computational intelligence and neuroscience, 2018-01, Vol.2018 (2018), p.1-18

2018

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Steady-State Motion Visual Evoked Potential (SSMVEP) Enhancement Method Based on Time-Frequency Image Fusion

Computational intelligence and neuroscience, 2019-01, Vol.2019 (2019), p.1-14

2019

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Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition

Computational intelligence and neuroscience, 2019-01, Vol.2019 (2019), p.1-8

2019

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Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System

Computational intelligence and neuroscience, 2019-01, Vol.2019 (2019), p.1-11

2019

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Ventifacts and wind deflation surfaces in context with glaciofluvial sediment successions in southern Sweden – Their age and implication for glacial history

Quaternary science reviews, 2024-03, Vol.327, p.108523, Article 108523

2024

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Optimization of the 24-Bit Fixed-Point Format for the Laplacian Source

Mathematics (Basel), 2023-01, Vol.11 (3), p.568

2023

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Iterative algorithm for designing asymptotically optimal uniform scalar quantisation of the one‐sided Rayleigh density

IET communications, 2021-03, Vol.15 (5), p.723-729

2021

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Circularly Symmetric Companding Quantization-Inspired Hybrid Constellation Shaping for APSK Modulation to Increase Power Efficiency in Gaussian-Noise-Limited Channel

IEEE access, 2021-01, Vol.9, p.4072-4083

2021

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Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding

IET signal processing, 2021-08, Vol.15 (6), p.410-423

2021

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Performance of Post-Training Two-Bits Uniform and Layer-Wise Uniform Quantization for MNIST Dataset from the Perspective of Support Region Choice

Mathematical problems in engineering, 2022-04, Vol.2022, p.1-15

2022

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Evaluating Similarity of Spectrogram-like Images of DC Motor Sounds by Pearson Correlation Coefficient

Elektronika ir elektrotechnika, 2022-06, Vol.28 (3), p.37-44

2022

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Approach in companding-quantisation-inspired PAM constellation design

IET communications, 2018-11, Vol.12 (18), p.2305-2314

2018

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Design and Analysis of Binary Scalar Quantizer of Laplacian Source with Applications

Information (Basel), 2020-11, Vol.11 (11), p.501

2020

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Analysis of Industrial Product Sound by Applying Image Similarity Measures

Mathematics (Basel), 2023-01, Vol.11 (3), p.498

2023

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Symmetric Quantile Quantizer Parameterization for the Laplacian Source: Qualification for Contemporary Quantization Solutions

Mathematical problems in engineering, 2021, Vol.2021, p.1-12

2021

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The Crvenka loess-paleosol sequence: A record of continuous grassland domination in the southern Carpathian Basin during the Late Pleistocene

Palaeogeography, palaeoclimatology, palaeoecology, 2018-11, Vol.509, p.33-46

2018

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Applying eXplainable AI Techniques to Interpret Machine Learning Predictive Models for the Analysis of Problematic Internet Use among Adolescents

Elektronika ir elektrotechnika, 2024-04, Vol.30 (2), p.63-72

2024

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Optimization of the fixed-point representation of measurement data for intelligent measurement systems

Measurement : journal of the International Measurement Confederation, 2023-08, Vol.217, p.113037, Article 113037

2023

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Design of single and dual-mode companding scalar quantizers based on piecewise linear approximation of the Gaussian PDF

Journal of the Franklin Institute, 2020-06, Vol.357 (9), p.5663-5679

2020

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Multidimensional Optical Transport Based on Optimized Vector-Quantization-Inspired Signal Constellation Design

IEEE transactions on communications, 2014-09, Vol.62 (9), p.3262-3273

2014

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Class of tight bounds on the Q‐function with closed‐form upper bound on relative error

Mathematical methods in the applied sciences, 2019-04, Vol.42 (6), p.1786-1794

2019

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Prevailing surface winds in Northern Serbia in the recent and past time periods; modern- and past dust deposition

Aeolian research, 2018-04, Vol.31, p.117-129

2018

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Two forward adaptive dual-mode companding scalar quantizers for Gaussian source

Signal processing, 2016-03, Vol.120, p.129-140

2016

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Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences — A key to Upper Pleistocene ecosystem responses to climate changes in western Central Europe

Catena (Giessen), 2022-05, Vol.212, p.106076, Article 106076

2022

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Support region of μ-law logarithmic quantizers for Laplacian source applied in neural networks

Microelectronics and reliability, 2021-09, Vol.124, p.114269, Article 114269

2021

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Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters

Steady-State Motion Visual Evoked Potential (SSMVEP) Enhancement Method Based on Time-Frequency Image Fusion

Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition

Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System

Ventifacts and wind deflation surfaces in context with glaciofluvial sediment successions in southern Sweden – Their age and implication for glacial history

Optimization of the 24-Bit Fixed-Point Format for the Laplacian Source

Iterative algorithm for designing asymptotically optimal uniform scalar quantisation of the one‐sided Rayleigh density

Circularly Symmetric Companding Quantization-Inspired Hybrid Constellation Shaping for APSK Modulation to Increase Power Efficiency in Gaussian-Noise-Limited Channel

Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding

Performance of Post-Training Two-Bits Uniform and Layer-Wise Uniform Quantization for MNIST Dataset from the Perspective of Support Region Choice

Evaluating Similarity of Spectrogram-like Images of DC Motor Sounds by Pearson Correlation Coefficient

Approach in companding-quantisation-inspired PAM constellation design

Design and Analysis of Binary Scalar Quantizer of Laplacian Source with Applications

Analysis of Industrial Product Sound by Applying Image Similarity Measures

Symmetric Quantile Quantizer Parameterization for the Laplacian Source: Qualification for Contemporary Quantization Solutions

The Crvenka loess-paleosol sequence: A record of continuous grassland domination in the southern Carpathian Basin during the Late Pleistocene

Applying eXplainable AI Techniques to Interpret Machine Learning Predictive Models for the Analysis of Problematic Internet Use among Adolescents

Optimization of the fixed-point representation of measurement data for intelligent measurement systems

Design of single and dual-mode companding scalar quantizers based on piecewise linear approximation of the Gaussian PDF

Multidimensional Optical Transport Based on Optimized Vector-Quantization-Inspired Signal Constellation Design

Class of tight bounds on the Q‐function with closed‐form upper bound on relative error

Prevailing surface winds in Northern Serbia in the recent and past time periods; modern- and past dust deposition

Two forward adaptive dual-mode companding scalar quantizers for Gaussian source

Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences — A key to Upper Pleistocene ecosystem responses to climate changes in western Central Europe

Support region of μ-law logarithmic quantizers for Laplacian source applied in neural networks

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