Search Results - "Tadeusiewicz, Ryszard"
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Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron
Published in Sensors (Basel, Switzerland) (19-07-2021)“…Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the…”
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A Hybrid Approach of a Deep Learning Technique for Real–Time ECG Beat Detection
Published in International journal of applied mathematics and computer science (01-09-2022)“…This paper presents a new customized hybrid approach for early detection of cardiac abnormalities using an electrocardiogram (ECG). The ECG is a bioelectrical…”
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Brain MRI detection and classification: Harnessing convolutional neural networks and multi-level thresholding
Published in PloS one (01-08-2024)“…Brain tumor detection in clinical applications is a complex and challenging task due to the intricate structures of the human brain. Magnetic Resonance (MR)…”
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Acoustic analysis assessment in speech pathology detection
Published in International journal of applied mathematics and computer science (01-09-2015)“…Automatic detection of voice pathologies enables non-invasive, low cost and objective assessments of the presence of disorders, as well as accelerating and…”
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AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models
Published in Sensors (Basel, Switzerland) (03-11-2023)“…Color face images are often transmitted over public channels, where they are vulnerable to tampering attacks. To address this problem, the present paper…”
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A pilot study on AI-driven approaches for classification of mental health disorders
Published in Frontiers in human neuroscience (10-04-2024)“…The increasing prevalence of mental disorders among youth worldwide is one of society's most pressing issues. The proposed methodology introduces an artificial…”
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Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea
Published in International journal of applied mathematics and computer science (01-09-2023)“…Obstructive sleep apnea (OSA) is a long-term sleep disorder that causes temporary disruption in breathing while sleeping. Polysomnography (PSG) is the…”
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Significance of Physiological Signal Thresholds in the Early Diagnosis of Simulator Sickness
Published in IEEE access (2024)“…Simulator sickness not only degrades the quality of interaction within simulator environments but also poses challenges for user enjoyment and the long-term…”
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A Review of Shockable Arrhythmia Detection of ECG Signals Using Machine and Deep Learning Techniques
Published in International journal of applied mathematics and computer science (01-09-2024)“…An electrocardiogram (ECG) is an essential medical tool for analyzing the functioning of the heart. An arrhythmia is a deviation in the shape of the ECG signal…”
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Improved Reference Image Encryption Methods Based on 2K Correction in the Integer Wavelet Domain
Published in International journal of applied mathematics and computer science (01-12-2019)“…Many visually meaningful image encryption (VMIE) methods have been proposed in the literature using reference encryption. However, the most important problems…”
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Multistage Segmentation of Prostate Cancer Tissues Using Sample Entropy Texture Analysis
Published in Entropy (Basel, Switzerland) (04-12-2020)“…In this study, a multistage segmentation technique is proposed that identifies cancerous cells in prostate tissue samples. The benign areas of the tissue are…”
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A fuzzy interval model for assessing patient status and treatment effectiveness using blood morphology
Published in Healthcare analytics (New York, N.Y.) (01-12-2023)“…This study explores the generalization of heterogeneous medical data for monitoring anomalies and changes over time using fuzzy intervals. The most important…”
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Colour-Based Binary Discrimination of Scarified Quercus robur Acorns under Varying Illumination
Published in Sensors (Basel, Switzerland) (18-08-2016)“…Efforts to predict the germination ability of acorns using their shape, length, diameter and density are reported in the literature. These methods, however,…”
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Ant-based extraction of rules in simple decision systems over ontological graphs
Published in International journal of applied mathematics and computer science (01-06-2015)“…In the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are…”
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A Design Study of Orthotic Shoe Based on Pain Pressure Measurement Using Algometer for Calcaneal Spur Patients
Published in Technologies (Basel) (01-09-2021)“…The pressure pain threshold (PPT) is a useful tool for evaluating mechanical sensitivity in individuals suffering from various musculoskeletal disorders. The…”
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Pre-treatment growth and IGF-I deficiency as main predictors of response to growth hormone therapy in neural models
Published in Endocrine Connections (01-01-2018)“…Mathematical models have been applied in prediction of growth hormone treatment effectiveness in children since the end of 1990s. Usually they were multiple…”
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Numerical modelling of GPR electromagnetic fields for locating burial sites
Published in E3S Web of Conferences (01-01-2017)“…Ground-penetrating radar (GPR) is commonly used for locating burial sites. In this article, we acquired radargrams at a site where a domestic pig cadaver was…”
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BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Published in Information sciences (01-10-2021)“…•Proposed novel BARF fusion models for automated medical image classification.•Investigated uncertainties during classification using Monte Carlo…”
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Approximation of phenol concentration using novel hybrid computational intelligence methods
Published in International journal of applied mathematics and computer science (01-03-2014)“…This paper presents two innovative evolutionary-neural systems based on feed-forward and recurrent neural networks used for quantitative analysis. These…”
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