Wyniki wyszukiwania dla: AROMA COMPOUNDS

• JOURNAL OF ALLOYS AND COMPOUNDS

  Czasopisma

  ISSN: 0925-8388 , eISSN: 1873-4669

• Quality of limes juices based on the aroma and antioxidant properties

  Publikacja

  • M. Lubinska-Szczygeł
  • A. Różańska
  • J. Namieśnik
  • T. Dymerski
  • R. B. Shafreen
  • M. Weisz
  • A. Ezra
  • S. Gorinstein

  - FOOD CONTROL - Rok 2018

  Kaffir (Citrus hystrix) and Key (Citrus aurantifolia) limes juices were investigated and compared. Two dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOF-MS) was applied to assess the botanical origin of Kaffir and Key limes juices, based on volatile substances. The biggest differences in the contents of selected terpenes in Kaffir and Key limes occur in chemical compounds such as Limonene,...

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• Chemistry of Heterocyclic Compounds

  Czasopisma

  ISSN: 0009-3122 , eISSN: 1573-8353

• Current Bioactive Compounds

  Czasopisma

  ISSN: 1573-4072

• POLYCYCLIC AROMATIC COMPOUNDS

  Czasopisma

  ISSN: 1040-6638 , eISSN: 1563-5333

• Aroma profile and lactic acid bacteria characteristic of traditional Slovak cheese “May bryndza”

  Publikacja

  • J. Štefániková
  • J. Árvay
  • S. Kunová
  • P. Kowalczewski
  • M. Kačániová

  - FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL - Rok 2021

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• ARIMA vs LSTM on NASDAQ stock exchange data

  Publikacja

  • D. Kobiela
  • D. Krefta
  • W. Król
  • P. Weichbroth

  - Procedia Computer Science - Rok 2022

  This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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• Bioactive Compounds in Health and Disease

  Czasopisma

  ISSN: 2769-2426 , eISSN: 2574-0334

• JOURNAL OF LABELLED COMPOUNDS & RADIOPHARMACEUTICALS

  Czasopisma

  ISSN: 0362-4803 , eISSN: 1099-1344

• New Materials Compounds and Applications

  Czasopisma

  ISSN: 2521-7194