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Št. zadetkov: 8
Effect of micro- and nano-lignin on the thermal, mechanical, and antioxidant properties of biobased PLA–lignin composite films
Sofia P. Makri, Eleftheria Xanthopoulou, Panagiotis A. Klonos, Alexios Grigoropoulos, Apostolos Kyritsis, Konstantinos Tsachouridis, Antonios Anastasiou, Ioanna Deligkiozi, Nikolaos P. Nikolaidis, Dimitrios N. Bikiaris
Izvirni znanstveni članek
Oznake: polilaktid;kompatibilnost;mehanske lastnosti;antioksidativno delovanje;embalaža za živila;pakiranje živil;aktivna embalaža;poly(lactic acid);PLA;lignin;nanolignin;composite films;nucleation;mechanical properties;antioxidant activity;food packaging;
Bio-based poly(lactic acid) (PLA) composite films were produced using unmodified soda micro- or nano-lignin as a green filler at four different contents, between 0.5 wt% and 5 wt%. The PLA– lignin composite polymers were synthesized by solvent casting to prepare a masterbatch, followed by melt mi ...
Leto: 2022 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Uncertainty of modelled flow regime for flow-ecological assessment in Southern Europe
Olga Vigiak, Stefanie Lutz, Angeliki Mentzafou, Gabriele Chiogna, Tuo Ye, Bruno Majone, Hylke Beck, A de Roo, Anna Malagó, Faycal Bouraoui, Rohini Kumar, Luis Samaniego, Ralf Merz, Christos Gamvroudis, Nikolaos Skoulikidis, Nikolaos P. Nikolaidis, Alberto Bellin, Vicenç Acuňa, Nataša Mori, Ralf Ludwig, Alberto Pistocchi
Izvirni znanstveni članek
Oznake: flow regime;ecohydrological assessment;SWAT;mHM;lisflood;HYPERstream;
Sustainable water basin management requires characterization of flow regime in river networks impacted by anthropogenic pressures. Flow regime in ungauged catchments under current, future, or natural conditions can be assessed with hydrological models. Developing hydrological models is, however, res ...
Leto: 2018 Vir: Nacionalni inštitut za biologijo (NIB)
Byzantine hymn recognition with audio fingerprints resistant to noise, tempo and scale changes
Dimitris Kampelopoulos, Lazaros Moysis, Konstantinos Karasavvidis, Achilles D. Boursianis, Sotirios K. Goudos, Spiridon Nikolaidis
Objavljeni znanstveni prispevek na konferenci
Oznake: signal processing;music information retrieval;audio fingerprinting;song identification;
In this study, an audio fingerprinting approach is utilized that was successfully used for Byzantine hymn recogni tion. The process is based on the extraction of time and scale invariant fingerprints using the two-dimensional Fourier Transform (2DFT). It also involves a matching process between fing ...
Leto: 2024 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Audio fingerprinting method for Byzantine hymn recognition
Dimitris Kampelopoulos, Lazaros Moysis, Konstantinos Karasavvidis, Achilles D. Boursianis, Sotirios K. Goudos, Spiridon Nikolaidis
Objavljeni znanstveni prispevek na konferenci
Oznake: music information retrieval;audio fingerprinting;signal processing;song identification;music identification;audio identification;
In this work, a method for Byzantine hymn recognition is proposed utilizing an audio fingerprinting technique to generate speed and scale invariant fingerprints. The main steps of the process are the two-dimensional Fourier Transform (2DFT) and the calculation of a distance metric based on similarit ...
Leto: 2024 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Recognition of Greek Orthodox hymns using audio fingerprint techniques
Konstantinos Karasavvidis, Dimitris Kampelopoulos, Lazaros Moysis, Achilles D. Boursianis, Spiridon Nikolaidis, Panagiotis Sarigiannidis, Sotirios K. Goudos
Objavljeni znanstveni prispevek na konferenci
Oznake: music information retrieval;signal processing;audio fingerprinting;music identification;identification;
Audio fingerprinting was originally developed for music song identification, and over the years has been used for many more cases. With fingerprinting, an equivalent signature of the audio signal is saved in a simple form, so that it can be easily compared with another fingerprint. In this work, an ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Identification of Greek Orthodox Church chants using fuzzy entropy
Lazaros Moysis, Konstantinos Karasavvidis, Dimitris Kampelopoulos, Achilles D. Boursianis, Sotirios P. Sotiroudis, Spiridon Nikolaidis, Christos Volos, Panagiotis Sarigiannidis, Mohammad Abdul Matin, Sotirios K. Goudos
Izvirni znanstveni članek
Oznake: audio fingerprinting;fuzzy entropy;Greek Orthodox Church chant;music identification;music information retrieval;entropy;
In this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy. Using a dataset of chant performances, each recitation is segmented into overlapping time windows, and the fuzzy entropy of each window in the frequency domain is computed. We introduce a novel audio fing ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Music deep learning
Lazaros Moysis, Lazaros Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Maria S. Papadopoulou, Konstantinos-Iraklis D. Kokkinidis, Christos Volos, Panagiotis Sarigiannidis, Spiridon Nikolaidis, Sotirios K. Goudos
Pregledni znanstveni članek
Oznake: deep learning;music signal processing;music information retrieval;music generation;neural networks;machine learning;artificial intelligence;
The discipline of Deep Learning has been recognized for its strong computational tools, which have been extensively used in data and signal processing, with innumerable promising results. Among the many commercial applications of Deep Learning, Music Signal Processing has received an increasing amou ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
ǂThe ǂchallenges of music deep learning for traditional music
Lazaros Moysis, Lazaros Iliadis, Sotirios P. Sotiroudis, Konstantinos-Iraklis D. Kokkinidis, Panagiotis Sarigiannidis, Spiridon Nikolaidis, Christos Volos, Achilles D. Boursianis, Dimitrios Babas, Maria S. Papadopoulou, Sotirios K. Goudos
Objavljeni znanstveni prispevek na konferenci
Oznake: music information retrieval;deep learning;machine learning;music generation;artificial intelligence;cultural tourism;cultural preservation;digital preservation;dataset;traditional music;heritage;cultural heritage;music;
Numerous applications for music listeners, educators, DJs, and musicians have been created over the past decade as the field of Music Deep Learning has expanded. Evidently, the majority of works rely on training their architectures using well-established databases, which consist primarily of Western ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 8
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