Search results for: VOICE ACTIVITY DETECTION - Bridge of Knowledge

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Search results for: VOICE ACTIVITY DETECTION

Search results for: VOICE ACTIVITY DETECTION

  • An Approach to the Detection of Bank Robbery Acts Employing Thermal Image Analysis

    Publication

    - Year 2013

    A novel approach to the detection of selected security-related events in bank monitoring systems is presented. Thermal camera images are used for the detection of people in difficult lighting conditions. Next, the algorithm analyses movement of objects detected in thermal or standard monitoring cameras using a method evolved from the motion history images algorithm. At the same time, thermal images are analyzed in order to detect...

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  • The effect of roasting beetroot and chicory on the anti-oxidative activity of their extracts

    Open Research Data

    The eThe data set presents the results of the assessment of the impact of roasting raw materials in the form of beetroot and chicory on their antioxidant activity measured by the standard ABTS and DPPH radical tests. The numerical results were compared with the visual assessment of the roasted raw materials. The obtained results confirmed the increase...

  • Selected organophosphorus compounds with biological activity. Applications in medicine

    The purpose of this article is to provide an overview of the latest applications of organophosphorus compounds (OPs) that exhibit biological activity. A large family of OPs have become popular in recent years. The practical application of OPs in modern medicine has been attributed to their unique properties. In this article, the methods used to select these compounds will be emphasized. This paper will first outline the findings...

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  • Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System

    Monitoring plays an important role in advanced control of complex dynamic systems. Precise information about system's behaviour, including faults detection, enables efficient control. Proposed method- Kernel Principal Component Analysis (KPCA), a representative of machine learning, skilfully takes full advantage of the well known PCA method and extends its application to nonlinear case. The paper explains the general idea of KPCA...

  • Enhanced method of DS-CDMA low level singnals detection

    Publication

    The following article comprises three main parts. The first one generally describes two methods of low level signals detection which are in the interest of this study. The signal spectrum averaging technique is shown as well as the method exploiting averaged spectrum of the signal raised to the power of 2n (nN). Additionally, this section briefly presents proposed enhancements and modifications of these two solutions, which allow...

  • Antifungal Activity of Homoaconitate and Homoisocitrate Analogs

    Thirteen structural analogs of two initial intermediates of the L-alpha-aminoadipate pathway of L-lysine biosynthesis in fungi have been designed and synthesized, including fluoro- and epoxy-derivatives of homoaconitate and homoisocitrate. Some of the obtainedcompounds exhibited at milimolar range moderate enzyme inhibitory properties against homoaconitase and/or homoisocitrate dehydrogenase of Candida albicans. The structural...

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  • Awareness of patients suffering from selected chronic diseases of the importance of physical activity in treating their disorders

    Publication
    • A. Bukova
    • M. Hagovska
    • D. Drackova
    • A. Horbacz
    • J. Wasik
    • L. Krucanica
    • J. Wąsik

    - Physical Activity Review - Year 2019

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  • The effect of anthraquinone derivatives (C1-C9) on telomerase activity

    Open Research Data
    open access

    The data set contains images of the PCR products obtained from the Telomerase Repeated Amplification Protocol (TRAP). The effect of anthraquinone derivatives (C-C9) on telomerase activity was analyzed using lysates from drug-treatedcancer cell line.

  • Multiscaled Hybrid Features Generation for AdaBoost Object Detection

    This work presents the multiscaled version of modified census features in graphical objects detection with AdaBoost cascade training algorithm. Several experiments with face detector training process demonstrate better performance of such features over ordinal census and Haar-like approaches. The possibilities to join multiscaled census and Haar features in single hybrid cascade of strong classifiers are also elaborated and tested....

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  • Detection and size estimation of crack in plate based on guided wave propagation

    The paper presents results of the comprehensive theoretical and experimental investigation of crack detection in metallic plate using guided wave propagation. The main aim of the paper is to develop the novel method which would allow for linear crack size estimation with the use of minimal number of the transducers. In general, there exists the relation between length of the propagation path and the wave amplitude value. However,...

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  • Detection of moving objects in images combined from video and thermal cameras

    Publication

    - Year 2013

    An algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm...

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  • Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

    Publication
    • D. Korzekwa
    • R. Barra-Chicote
    • B. Kostek
    • T. Drugman
    • M. Łajszczak

    - Year 2019

    We present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...

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  • New conjugates of mycophenolic acid and their antiproliferative activity

    The new conjugates of mycophenolic acid (MPA) were obtained in the reaction of N6-(ω-aminoalkyl)adenosines with MPA in the presence of EDCI as a coupling reagent. New compounds 4a–h were evaluated on leukemia cell line (Jurkat) and PBMC from healthy donors. Length of the linker influenced observed activity. The compound 4b possessing 1,3-diamine spacer exhibited the most promising results and can be considered to further investigations.

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  • Smart city and fire detection using thermal imaging

    Publication

    In this paper, we summarize the results obtained from fire experiments. The aim of the work was to develop new methods of fire detection using IR thermal imaging cameras and dedicated image processing. We conducted 4 experiments in different configurations and with the use of different objects. The conducted experiments have shown the great usefulness of infrared cameras for detecting the seeds of a fire. Even cheap low-resolution...

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  • Synthesis, Antimicrobial and Mutagenic Activity of a New Class of d-Xylopyranosides

    Publication
    • K. Sikora
    • P. Szweda
    • K. Słoczyńska
    • J. Samaszko-Fiertek
    • J. Madaj
    • B. Liberek
    • E. Pękala
    • B. Dmochowska

    - Antibiotics-Basel - Year 2023

    Eight N-[2-(2′,3′,4′-tri-O-acetyl-α/β-d-xylopyranosyloxy)ethyl]ammonium bromides, a new class of d-xylopyranosides containing a quaternary ammonium aglycone, were obtained. Their complete structure was confirmed using NMR spectroscopy (1H, 13C, COSY and HSQC) and high-resolution mass spectrometry (HRMS). An antimicrobial activity against fungi (Candida albicans, Candida glabrata) and bacteria (Staphylococcus aureus, Escherichia...

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  • Small rov to detection and identification of dangerous underwater objects

    Publication

    - Year 2011

    A small unmanned underwater vehicle (UUV) to inspection of an undersea space is presented in the paper. Its behavior is controlled by a trained pilot. Correct detection and identification of targets depends on vehicle'sprecise displacement along a predefined route. Nowadays, the UUVs are equipped with an automatic control system to execute some basic maneuvers without constant human interventions. Hence, in the paper, an autopilot...

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  • Influence of statistical errors on damage detection based on structuralflexibility and mode shape curvature

    Publication

    Damage detection procedures based on measured natural frequencies and building structure mode shapes are discussed in this paper. Modal curvature and structural flexibility approaches are tested. Attention is paid to the modal identification errors that influence damage detection. This problem is studied using a computer simulation of a simple supported beam. For practical cases, the peak picking methodand its statistical errors...

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  • Fault detection in the marine engine using a support vector data description method

    Publication

    - Journal of Marine Engineering and Technology - Year 2024

    Fast detection and correct diagnosis of any engine condition changes are essential elements of safety andenvironmental protection. Many diagnostic algorithms significantly improve the detection of malfunctions.Studies on diagnostic methods are rarely reported and even less implemented in the marine engine industry.To fill this gap, this paper presents the Support Vector Data Description (SVDD) method as applied to thefault detection...

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  • The Relation Between Art and Physical Activity in the Public Space of the Contemporary City

    Publication

    - Year 2018

    Art has always been and still is a mirror in which human activity is reflected. One of the basic human activities is physical activity, thanks to which humans are able to satisfy their needs, improve health and also function in society. Therefore, there are different relationships between physical activity and art. Both of them are present in the public space of cities and this aspect of connection is addressed in the article. The...

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  • Loudness Scaling Tests in Hearing Problems Detection

    Publication

    The number of people using portable audio players has increased significantly over the recent years. This implies the rise in the number of people having hearing loss problems. Therefore, there is a need to find appropriate procedures that simplify the process of the hearing problem detection. Investigations performed show that audiometric tests may not be sufficient to assess hearing in young people. Contrarily, the obtained results...

  • Experimental test of nonclassicality with arbitrarily low detection efficiency

    Publication

    - PHYSICAL REVIEW A - Year 2020

    We theoretically introduce and experimentally demonstrate the realization of a nonclassicality test that allows for arbitrarily low detection efficiency without invoking an extra assumption of independence of the devices. Our test and its implementation is set in a prepare-and-measure scenario with an upper limit on the classical communication capacity of the channel through which the systems are communicated. The essence for our...

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  • The influence of food phytochemicals on cyclic phosphodiesterase 4 (PDE4) activity

    Publication

    Cyclic phosphodiesterase 4 (PDE4) belongs to family of cyclic phosphodiesterases, which are expressed predominantly in inflammatory cells, airway smooth muscles, cardiovascular tissues and brain. Inhibitors of this family of enzymes found medicinal applications as antidepressants, antiinflamatory drugs (mainly in airway diseases) or antiasthmatics (Ibudilast). PDE4 inhibitors are also being tested for preventing the development...

  • Feasibility study of a Raman spectroscopic route to drug detection

    Publication

    - Year 2017

    We present an surface-enhanced Raman spectroscopy (SERS) approach for detection of drugs of abuse in whole human blood. We utilize a near infrared laser with 830 nm excitation wavelength in order to reduce the influence of fluorescence on the spectra of blood. However, regular plasmon resonance peak of plasmonic nanoparticles, such as silver or gold fall in a much lower wavelength regime about 400 nm. Therefore, we have shifted...

  • Spectral Methods for Modelling of Wave Propagation in Structures in Terms of Damage Detection—A Review

    Publication

    Modern methods of detection and identification of structural damage direct the activities of scientific groups towards the improvement of diagnostic methods using for example the phenomenon of mechanical wave propagation. Damage detection methods that use mechanical wave propagation in structural components are extremely effective. Many different numerical approaches are used to model this phenomenon, but, due to their universal...

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  • Commercial systems for automatic detection of events. Features, limitations and potential solutions

    Publication

    - Year 2009

    Video Content Analysis (VCA). Motion detection. Example of complex VCA system. Commercial VCA systems and their applications. Limitations and problems. Possible solutions.

  • Algorithms of chemicals detection using raman spectra

    Raman spectrometers are devices which enable fast and non-contact identification of examined chemicals. These devices utilize the Raman phenomenon to identify unknown and often illicit chemicals (e.g. drugs, explosives)without the necessity of their preparation. Now, Raman devices can be portable and therefore can be more widely used to improve security at public places. Unfortunately, Raman spectra measurements is a challenge...

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  • How Integration of a Brain-Machine Interface and Obstacle Detection System Can Improve Wheelchair Control via Movement Image

    Publication
    • T. Kocejko
    • N. Matuszkiewicz
    • J. Kwiatkowski
    • P. Durawa
    • A. Madajczak

    - SENSORS - Year 2024

    This study presents a human-computer interaction combined with a brain-machine interface (BMI) and obstacle detection system for remote control of a wheeled robot through movement imagery, providing a potential solution for individuals facing challenges with conventional vehicle operation. The primary focus of this work is the classification of surface EEG signals related to mental activity when envisioning movement and deep relaxation...

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  • The use of machine learning for face regions detection in thermograms

    Publication

    - Year 2022

    The aim of this study is to analyse the methods of detecting characteristic points of the face in thermographic images. As part of the implementation an extensive analysis of scientific publications covering similar issues both for the analysis of images made in visible light and thermographic images was carried out. On the basis of this analysis, 3 models were selected and then they were implemented and tested on the basis of...

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  • Overhead wires detection by FPGA real-time image processing

    Publication

    The paper presents design and hardware implementation of real-time image filtering for overhead wires detection divided on image processing and results presentation blocks. The image processing block was separated from the whole implementation, and its delay and hardware complexity was analysed. Also the maximum frequency of image processing of the proposed implementation was estimated.

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  • Influence of temperature on the activity of anammox granular biomass.

    The aim of this study was to determine a short-term and long-term effect of temperature on the anammox rate and determination of temperature coefficients in the Arrhenius and Ratkowsky equations. The short-term effects of temperature on the anammox granular biomass were investigated in batch tests at ten different temperatures in the range of 10–55 °C. The maximum overall nitrogen removal rate of 1.3 gN gVSS−1·d−1 was observed...

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  • Territorial Aspects of Entrepreneurial Activity in Polish Suburban Zones

    Publication

    Globalization has led to an increased correlation and integration of various fields in modern civilization, including those connected with allocation of entrepreneurial functions. Connection, on a global scale, has shown an increased significance of worldwide corporations. Territorial allocation of the entrepreneurial function has become the subject of translocation and revaluation. Translocation can be understood as the change...

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  • Bees Detection on Images: Study of Different Color Models for Neural Networks

    Publication

    This paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...

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  • The effectivness of fault detection in common rail injectors examination methods

    The article presents the effectiveness tests of fault detection in common rail injectors. 40 injectors with different wear levels were tested. Testing was made on two test benches of a completely different design. Research includes comparison of accuracy, reproducibility and testability to detect specific defects. A device was created for visualization of the fuel injector spraying steam.

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  • Elderly persons professional activity - substantive issues and methodical challenges

    Population ageing and mass withdrawal of persons around retirement age from the labour market constitutes a serious threat for European Union economy, especially in the so-called new member states. The coming years are expected to bring a considerable increase in public spending on pensions and health care, as well as changes in the structure and size of consumer demand and an increase in the number of socially excluded individuals....

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  • Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification

    Publication

    - Acta Biochimica Polonica - Year 2015

    Dermatophytes are keratinophilic molds that infect human hair, nails and skin. Diagnosis of dermatophytosis is based on morphological, serological and biochemical features. However, identification is difficult and laborious due to similarities between microorganisms. Thus, there is considerable interest to develop mycological diagnostic procedures based on molecular biology methods. In this study, fast, two-step DNA extraction...

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  • Hierarchical 2-step neural-based LEGO bricks detection and labeling

    Publication

    - Year 2021

    LEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...

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  • Naval mine detection system based of FPGA circuit

    Electrochemical processes take place in a metal object immersed into sea water even if an anticorrosive coating is applied [1]. As a result, flowing field appears around the object. There are naval mines between many other objects situated in the sea. Naval mines can be put in the seabed in order to be more difficult to detect by sonars. Such a mine is located on the line demarking two environments of different electrical conductivity....

  • Automatic detection and correction of detuned singing system for use with query-by-humming applications

    Publication

    - Year 2008

    The aim of the paper is to present an idea of using the automatic detection and correction of detuned singing as a subsystem in query-by-humming (QBH) applications. The common approach to searching for a requested song basing on the melody retrieved from hummed pattern usually employs the so-called Parsons code or melody contour. In such a case information about sound pitch is discarded. It was thought out that an additional module...

  • Application of method of differential magnetometric system for detection of sunken objects

    This paper presents a magnetometric system with scalar sensors mounted on two independent platforms, which is used to detect sunken shipwrecks. Increasing the distance between the sensors allows for more precise measurement of the difference in the magnetic induction module than in the case of sensors mounted e.g. on the aeroplane’s wings. This type of system makes it possible to enlarge detection range of the sunken wrecks.

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  • Youth Civic Participation in the South Baltic Region. Example of Lithuania, Poland and Sweden

    Publication

    - Year 2020

    The aim of this study was to show youth civic participation as a social inclusion element in the Southern Baltic region in need of reinforcement, based on the examples of selected municipalities from Lithuania, Poland and Sweden. The authors focused on the diagnosis of key elements of youth civic engagement at local and cross-border level, taking into account the context of national youth policies and the European Union policy....

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  • Resolving conflicts in object tracking for automatic detection of events in video

    An algorithm for resolving conflicts in tracking of moving objects is presented. The proposed approach utilizes predicted states calculated by Kalman filters for estimation of trackers position, then it uses color and texture descriptors in order to match moving objects with trackers. Problematic situations, such as splitting objects, are addressed. Test results are presented and discussed. The algorithm may be used in the system...

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  • Automatic detection and correction of detuned singing system for use with query-by-humming applications

    Publication

    The aim of the paper is to present an idea of using the automatic detection and correction of detuned singing as a subsystem in query-by-humming (QBH) applications. The common approach to searching for a requested song basing on the melody retrieved from hummed pattern usually employs the so-called Parsons code or melody contour. In such a case information about sound pitch is discarded. It was thought out that an additional module...

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  • Labeler-hot Detection of EEG Epileptic Transients

    Publication

    - Year 2019

    Preventing early progression of epilepsy and sothe severity of seizures requires effective diagnosis. Epileptictransients indicate the ability to develop seizures but humansoverlook such brief events in an electroencephalogram (EEG)what compromises patient treatment. Traditionally, trainingof the EEG event detection algorithms has relied on groundtruth labels, obtained from the consensus...

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  • Face with Mask Detection in Thermal Images Using Deep Neural Networks

    Publication

    As the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...

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  • Optical fiber aptasensor for label-free bacteria detection in small volumes

    Publication

    - SENSORS AND ACTUATORS B-CHEMICAL - Year 2021

    Highly sensitive devices for fast bacteria detection are sought to be developed with the task of quantifying the worldwide problem of pathogenic bacteria and thus helping to take control over spreading bacterial infections. This work concerns a sensing solution based on microcavity in-line Mach-Zehnder interferometer (μIMZI) induced in an optical fiber. Such a device exhibits ultrahigh sensitivity to refractive index changes...

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  • A Simple Neural Network for Collision Detection of Collaborative Robots

    Publication

    Due to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use of collaborative robots (cobots). However, the required equipment (force sensors) or alternative methods of detecting a threat to humans are usually quite expensive. The article presents...

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  • Visual Detection of People Movement Rules Violation in Crowded Indoor Scenes

    Publication

    The paper presents a camera-independent framework for detecting violations of two typical people movement rules that are in force in many public transit terminals: moving in the wrong direction or across designated lanes. Low-level image processing is based on object detection with Gaussian Mixture Models and employs Kalman filters with conflict resolving extensions for the object tracking. In order to allow an effective event...

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  • CaZnO-based nanoghosts for the detection of ssDNA, pCRISPR and recombinant SARS-CoV-2 spike antigen and targeted delivery of doxorubicin

    Publication
    • N. Rabiee
    • O. Akhavan
    • Y. Fatahi
    • A. M. Ghadiri
    • M. Kiani
    • P. Makvandi
    • M. Rabiee
    • M. H. Nicknam
    • M. Saeb
    • R. S. Varma... and 4 others

    - CHEMOSPHERE - Year 2022

    Overexpression of proteins/antigens and other gene-related sequences in the bodies could lead to significant mutations and refractory diseases. Detection and identification of assorted trace concentrations of such proteins/antigens and/or gene-related sequences remain challenging, affecting different pathogens and making viruses stronger. Correspondingly, coronavirus (SARS-CoV-2) mutations/alterations and spread could lead to overexpression...

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  • Robustness in Compressed Neural Networks for Object Detection

    Publication

    - Year 2021

    Model compression techniques allow to significantly reduce the computational cost associated with data processing by deep neural networks with only a minor decrease in average accuracy. Simultaneously, reducing the model size may have a large effect on noisy cases or objects belonging to less frequent classes. It is a crucial problem from the perspective of the models' safety, especially for object detection in the autonomous driving...

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  • Antioxidant and antimicrobial activity of fermented beverages obtained from fruit pomace

    Publication

    Fruit pomace should not be considered as a waste product but as a by-product as it contains a lot of valuable components such as dietary fiber, bioactive compounds and a source of nutrients. The reasonable way to utilize these by-products, both fresh or dried, could be the fermentation of its extracts, leading to beverages with functional properties. In our research, we checked the possibility of using chokeberry, apple and...