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Search results for: RDF DATASET PROFILING

  • Concurrent Video Denoising and Deblurring for Dynamic Scenes

    Dynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning pixel-to-pixel mappings, which is commonly enhanced by larger region awareness. This is a difficult yet simplified scenario because noise is neglected when it is omnipresent in a wide...

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  • Role of miR-15b/16–2 cluster network in endometrial cancer: An in silico pathway and prognostic analysis

    Publication

    - Meta Gene - Year 2022

    Endometrial cancer (EC) is the second most common cancer in women. A large number of human cancers exhibit dysregulation of microRNA expression including EC. MiR-15b/16–2 is one of the best-known miRNA clusters that is expressed in many types of cancer tissues. Herein, we analyzed the expression of individual miR-15b/16–2 cluster members, its paralogues, and their target network analysis, as well as their prognostic significance...

  • Influence of Soft Soil Samples Quality on the Compressibility and Undrained Shear Strength – Seven Lessons Learned From the Vistula Marshlands

    Publication

    This technical article presents the influence of sample quality on the compressibility parameters and undrained shear strength ( c u ) of soft soils from the Vistula Marshlands. The analysis covers: (1) quality of soft soil according to three criteria: void ratio (Δ e / e 0 index), volumetric strain (Δ ɛ v ) and C r / C c ratio; (2) influence of storage time on quality; (3) influence of sample quality on undrained shear strength...

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  • Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification

    Publication
    • A. Stateczny
    • S. M. Bolugallu
    • P. B. Divakarachari
    • K. Ganesan
    • J. R. Muthu

    - Remote Sensing - Year 2022

    Land Use and Land Cover (LULC) monitoring is crucial for global transformation, sustainable land control, urban planning, urban growth prediction, and the establishment of climate regulations for long-term development. Remote sensing images have become increasingly important in many environmental planning and land use surveys in recent times. LULC is evaluated in this research using the Sat 4, Sat 6, and Eurosat datasets. Various...

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  • Dissecting gamma frequency activities during human memory processing

    Publication
    • M. T. Kucewicz
    • B. M. Berry
    • V. Kremen
    • B. H. Brinkmann
    • M. R. Sperling
    • B. C. Jobst
    • R. E. Gross
    • B. Lega
    • S. A. Sheth
    • J. M. Stein... and 6 others

    - Brain: A Journal of Neurology - Year 2017

    Gamma frequency activity (30-150 Hz) is induced in cognitive tasks and is thought to reflect underlying neural processes. Gamma frequency activity can be recorded directly from the human brain using intracranial electrodes implanted in patients undergoing treatment for drug-resistant epilepsy. Previous studies have independently explored narrowband oscillations in the local field potential and broadband power increases. It is not...

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  • Model-Based Adaptive Machine Learning Approach in Concrete Mix Design

    Publication

    Concrete mix design is one of the most critical issues in concrete technology. This process aims to create a concrete mix which helps deliver concrete with desired features and quality. Contemporary requirements for concrete concern not only its structural properties, but also increasingly its production process and environmental friendliness, forcing concrete producers to use both chemically and technologically complex concrete...

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  • DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION

    Publication
    • M. Maj
    • J. Borkowski
    • J. Wasilewski
    • S. Hrynowiecka
    • A. Kastrau
    • M. Liksza
    • P. Jasik
    • M. Treder

    - Year 2022

    Objective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...

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  • Fermentative Conversion of Two-Step Pre-Treated Lignocellulosic Biomass to Hydrogen

    Publication

    Fermentative hydrogen production via dark fermentation with the application of lignocellulosic biomass requires a multistep pre-treatment procedure, due to the complexed structure of the raw material. Hence, the comparison of the hydrogen productivity potential of different lignocellulosic materials (LCMs) in relation to the lignocellulosic biomass composition is often considered as an interesting field of research. In this study,...

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  • A machine learning approach to classifying New York Heart Association (NYHA) heart failure

    Publication

    - Scientific Reports - Year 2024

    According to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional...

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  • Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data

    Publication

    - IEEE Journal of Translational Engineering in Health and Medicine-JTEHM - Year 2024

    The field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening, disease monitoring, and...

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  • Research on the Use of Mobile Devices and Headphones on Pedestrian Crossings—Pilot Case Study from Slovakia

    Publication

    - Safety - Year 2021

    The topic of the use of mobile devices and headphones on pedestrian crossings is much less explored in comparison to the use of the mobile phone while driving. Recent years have seen many discussions on this issue, especially in foreign countries. The Slovak Republic, however, has not been giving it enough attention (and it is not mentioned in the National Road Safety Plan for the Slovak Republic from 2011 to 2020). This paper...

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  • Petrophysical analyses of rock construction materials from the Roman rural settlement in Podšilo bay on Rab island (NE Adriatic, Croatia)

    Publication
    • J. Trzciński
    • E. Wójcik
    • K. Kiełbasińnski
    • P. Łukaszewski
    • M. Zaremba
    • Ł. Kaczmarek
    • R. Dziedziczak
    • J. Kotowski
    • A. Konestra
    • F. Welc... and 2 others

    - Year 2024

    This article presents the results of petrophysical analyses of limestones and sandstones used for the construction of the wall structures of a Roman rural settlement located in Podšilo Bay on Rab Island (Croatia). An on-site analysis of the walls indicated the use of different lithotypes, which is an uncommon case in the area. So far, no petrophysical properties of the applied materials have been tested, and their provenance...

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  • Elemental and water-insoluble organic carbon in Svalbard snow: a synthesis of observations during 2007–2018

    Publication
    • C. Zdanowicz
    • J. Gallet
    • M. P. Björkman
    • C. Larose
    • T. Schuler
    • B. Luks
    • K. Kozioł
    • A. Spolaor
    • E. Barbaro
    • T. Martma... and 3 others

    - ATMOSPHERIC CHEMISTRY AND PHYSICS - Year 2021

    Light-absorbing carbonaceous aerosols emitted by biomass or fossil fuel combustion can contribute to amplifying Arctic climate warming by lowering the albedo of snow. The Svalbard archipelago, being near to Europe and Russia, is particularly affected by these pollutants, and improved knowledge of their distribution in snow is needed to assess their impact. Here we present and synthesize new data obtained on Svalbard between 2007...

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