Search results for: DATA MINING IN MUSIC

• Data Warehouses - Part-time studies - 2023/2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• Analiza danych typu Big Data 2023/24

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

• Blockchain based Secure Data Exchange between Cloud Networks and Smart Hand-held Devices for use in Smart Cities

  Publication

  • M. A. Dar
  • A. Askar
  • S. A. Bhat

  - Year 2022

  In relation to smart city planning and management, processing huge amounts of generated data and execution of non-lightweight cryptographic algorithms on resource constraint devices at disposal, is the primary focus of researchers today. To enable secure exchange of data between cloud networks and mobile devices, in particular smart hand held devices, this paper presents Blockchain based approach that disperses a public/free key...

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• A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine

  Publication

  • D. S. Jain
  • S. R. Gupte
  • R. Aduri

  - Scientific Reports - Year 2018

  RNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....

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• Women and Music: A Journal of Gender and Culture

  Journals

  ISSN: 1090-7505 , eISSN: 1553-0612

• Bulletin of the Council for Research in Music Education

  Journals

  ISSN: 0010-9894 , eISSN: 2162-7223

• Tempo : a Quarterly Review of Modern Music

  Journals

  ISSN: 0040-2982 , eISSN: 1478-2286

• International Magazine for Music 'New Sound'

  Journals

  ISSN: 0354-4362

• Psychomusicology : a Journal of Research in Music Cognition

  Journals

  ISSN: 0275-3987 , eISSN: 2162-1535

• Theoria. Historical Aspects of Music Theory

  Journals

  ISSN: 1554-1312

• International Review of the Aesthetics and Sociology of Music

  Journals

  ISSN: 0351-5796

• Journal of Historical Research in Music Education

  Journals

  ISSN: 1536-6006 , eISSN: 2328-2525

• Revista Vortex-Vortex Music Journal

  Journals

  ISSN: 2317-9937

• Muziki-Journal of Music Research in Africa

  Journals

  ISSN: 1812-5980 , eISSN: 1753-593X

• Asian-European Music Research Journal

  Journals

  ISSN: 2701-2689 , eISSN: 2625-378X

• Korean Journal of Research in Music Education

  Journals

  ISSN: 1229-4179 , eISSN: 2713-3788

• Australasian Computer Music Conference

  Conferences

• Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City

  Publication

  • J. Balicki
  • H. Balicka
  • P. Dryja

  - Year 2021

  Data from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...

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• Novel Adaptive Method for Data Streams Allocation Based on the Estimate of Radio Channel Parameters in Heterogeneous WBAN Network

  Publication

  • K. Cwalina
  • S. J. Ambroziak
  • J. Stefański
  • J. Sadowski

  - Year 2017

  The new adaptive method for data streams allocation in heterogeneous Wireless Body Area Networks and meas-urement equipment is presented. The results obtained using the developed method compared with the selected algorithms likely to be used in those networks. The pro-posed adaptive data streams allocation method based on radio channel parameters makes it even twice as efficient to use in terms of resources usage in a WBAN heterogeneous...

• Artificial intelligence and productivity: global evidence from AI patent and bibliometric data .

  Publication

  • A. Parteka
  • A. Kordalska

  - TECHNOVATION - Year 2023

  In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our estimates provide evidence in favour of the modern...

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• Weather Routing System Architecture Using Onboard Data Collection and Route Optimisation

  Publication

  • J. Szłapczyńska
  • R. Vettor
  • R. Szłapczyński
  • M. Łącki
  • M. Życzkowski
  • M. A. Hinostroza
  • F. P. Santos
  • W. Tycholiz
  • C. G. Soares

  - Polish Maritime Research - Year 2022

  This paper describes the architecture of a weather routing system consisting of two key elements: onboard monitoring and route optimiser sub-systems. The former is responsible for collecting various onboard measurements, such as current ship position or ship motion variables. These data, when gathered and processed, are then used for fine-tuning a ship model. The model, together with weather forecasts, is utilised by a multi-objective...

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• Jan Franz dr hab.

  People

  Institute of Physics and Applied Computer Science

• Geoscientific Instrumentation Methods and Data Systems

  Journals

  ISSN: 2193-0856 , eISSN: 2193-0864

• ACM Journal of Data and Information Quality

  Journals

  ISSN: 1936-1955

• Advances in Data Science and Adaptive Analysis

  Journals

  ISSN: 2424-922X , eISSN: 2424-9238

• DATA BASE FOR ADVANCES IN INFORMATION SYSTEMS

  Journals

  ISSN: 0095-0033

• International Journal of Image and Data Fusion

  Journals

  ISSN: 1947-9832 , eISSN: 1947-9824

• IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

  Journals

  ISSN: 1041-4347 , eISSN: 1558-2191

• Japanese journal of statistics and data science

  Journals

  ISSN: 2520-8764

• International Journal of Data and Network Science

  Journals

  ISSN: 2561-8148

• Journal of Statistics and Data Science Education

  Journals

  eISSN: 2693-9169

• European Data Protection Law Review

  Journals

  ISSN: 2364-2831 , eISSN: 2364-284X

• Annual Review of Biomedical Data Science

  Journals

  ISSN: 2574-3414

• SIAM Journal on Mathematics of Data Science

  Journals

  eISSN: 2577-0187

• International Journal of Data Science and Analytics

  Journals

  ISSN: 2364-415X , eISSN: 2364-4168

• JOURNAL OF PHYSICAL AND CHEMICAL REFERENCE DATA

  Journals

  ISSN: 0047-2689 , eISSN: 1529-7845

• International Journal of Population Data Science

  Journals

  eISSN: 2399-4908

• U.S. Geological Survey Data Series

  Journals

  ISSN: 2327-638X

• Wave Method for Structural Health Monitoring: Testing Using Full-Scale Shake Table Experiment Data

  Publication

  • M. Ebrahimian
  • M. Todorovska
  • T. Falborski

  - JOURNAL OF STRUCTURAL ENGINEERING-ASCE - Year 2017

  An algorithm of the wave method for structural health monitoring (SHM) is tested and calibrated using shake table experiment data of a full-scale, seven-story, reinforced-concrete building slice. The method is based on monitoring changes in the velocity of waves propagating vertically through the structure, identified by least-squares (LSQ) fit of beam models. The experiment was conducted by a team from the University of California,...

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• Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams

  Publication

  • P. Czarnul

  - COMPUTING AND INFORMATICS - Year 2020

  The paper investigates parallel data processing in a hybrid CPU+GPU(s) system using multiple CUDA streams for overlapping communication and computations. This is crucial for efficient processing of data, in particular incoming data stream processing that would naturally be forwarded using multiple CUDA streams to GPUs. Performance is evaluated for various compute time to host-device communication time ratios, numbers of CUDA streams,...

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• Whither the need and motivation for open government data (OGD) promotional strategies?

  Publication

  • C. H. Alexopoulos
  • S. Saxena
  • M. Janssen
  • N. Rizun

  - Digital Policy Regulation and Governance - Year 2023

  Purpose It has been underscored in the extant literature that open government data (OGD) has not percolated across the length and breadth of any country, let alone the awareness of the OGD among the stakeholders themselves. In this vein, this study aims to underline the reasons as to why OGD promotion merits consideration apart from underlining the manner in which OGD promotion may be done. Design/methodology/approach Based on...

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• Coastline change-detection method using remote sensing satellite observation data

  Publication

  • Ł. Markiewicz
  • P. Mazurek
  • A. Chybicki

  - HYDROACOUSTICS - Year 2016

  Coastal zones are not only the fundaments for local economics based on trade, shipping and transport services, but also a source of food, energy and resources. Apart from offering diverse opportunities for recreation and tourism, coastal zones provide protection against storms and other meteorological disturbances. Environmental information is also essential because of the direct influence on a country’s maritime zones, which are...

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• Data Partitioning and Task Management in the Clustered Server Layer of the Volunteer-based Computation System

  Publication

  • J. Kuchta

  - Year 2012

  While the typical volunteer-based distributed computing system focus on the computing performance, the Comcute system was designed especially to keep alive in the emergency situations. This means that designers had to take into account not only performance, but the safety of calculations as well. Quadruple-layered architecture was proposed to separate the untrusted components from the core of the system. The main layer (W) consists...

• Ontological Modeling for Contextual Data Describing Signals Obtained from Electrodermal Activity for Emotion Recognition and Analysis

  Publication

  • T. Zawadzka
  • T. Wierciński
  • W. Waloszek
  • M. Wróbel

  - IEEE Access - Year 2023

  Most of the research in the field of emotion recognition is based on datasets that contain data obtained during affective computing experiments. However, each dataset is described by different metadata, stored in various structures and formats. This research can be counted among those whose aim is to provide a structural and semantic pattern for affective computing datasets, which is an important step to solve the problem of data...

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• The data exchange between smart glasses and healthcare information systems using the HL7 FHIR standard

  Publication

  • J. Rumiński
  • A. Bujnowski
  • T. Kocejko
  • A. Andrushevich
  • M. Biallas
  • R. Kistler

  - Year 2016

  In this study we evaluated system architecture for the use of smart glasses as a viewer of information, as a source of medical data (vital sign measurements: temperature, pulse rate, and respiration rate), and as a filter of healthcare information. All activities were based on patient/device identification procedures using graphical markers or features based on visual appearance. The architecture and particular use cases were implemented...

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• Brownian Motion in Optical Tweezers, a Comparison between MD Simulations and Experimental Data in the Ballistic Regime

  Publication

  • K. Zembrzycki
  • S. Pawłowska
  • F. Pierini
  • T. A. Kowalewski

  - Polymers - Year 2023

  The four most popular water models in molecular dynamics were studied in large-scale simulations of Brownian motion of colloidal particles in optical tweezers and then compared with experimental measurements in the same time scale. We present the most direct comparison of colloidal polystyrene particle diffusion in molecular dynamics simulations and experimental data on the same time scales in the ballistic regime. The four most...

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• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• Deep neural networks for data analysis 27/28

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 25/26

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 26/27

  e-Learning Courses

  • K. Draszawka