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  1. Artikel ; Online: Application of deep learning methods to predict ionosphere parameters in real time

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 196, p

    2020  Band 02007

    Abstract: In this paper, the previously obtained results on recognition of ionograms using deep learning are expanded to predict the parameters of the ionosphere. After the ionospheric parameters have been identified on the ionogram using deep learning in real ... ...

    Abstract In this paper, the previously obtained results on recognition of ionograms using deep learning are expanded to predict the parameters of the ionosphere. After the ionospheric parameters have been identified on the ionogram using deep learning in real time, we can predict the parameters for some time ahead on the basis of the new data obtained Examples of predicting the ionosphere parameters using an artificial recurrent neural network architecture long short-term memory are given. The place of the block for predicting the parameters of the ionosphere in the system for analyzing ionospheric data using deep learning methods is shown.
    Schlagwörter Environmental sciences ; GE1-350
    Sprache Englisch
    Erscheinungsdatum 2020-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Applying general markup knowledge to analyze ionograms of various ionosondes

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 196, p

    2020  Band 03002

    Abstract: In order to improve the quality of recognition of ionograms, the use of general knowledge about the reference marking of ionograms at various points of installation of ionosondes of the same type is considered. On the basis of reference markings from two ...

    Abstract In order to improve the quality of recognition of ionograms, the use of general knowledge about the reference marking of ionograms at various points of installation of ionosondes of the same type is considered. On the basis of reference markings from two ionosondes, deep neural networks were trained to highlight reflection traces from different layers of the ionosphere. The resulting deep neural networks have been successfully applied to recognize ionograms of another type of ionosonde. The results of recognition are presented.
    Schlagwörter Environmental sciences ; GE1-350
    Sprache Englisch
    Erscheinungsdatum 2020-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Extraction of ionosphere parameters in ionograms using deep learning

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 127, p

    2019  Band 01004

    Abstract: Based on a new developed author’s method for recognition traces of reflections from different layers of the ionosphere in ionograms, the ionosphere parameters are extracted. The method is based on the use of deep neural networks (DNN). The rules for ... ...

    Abstract Based on a new developed author’s method for recognition traces of reflections from different layers of the ionosphere in ionograms, the ionosphere parameters are extracted. The method is based on the use of deep neural networks (DNN). The rules for extracting the ionosphere parameters in ionograms are given. Based on the results obtained by the authors, an intelligent support system for ionogram analysis is being developed.
    Schlagwörter Environmental sciences ; GE1-350
    Sprache Englisch
    Erscheinungsdatum 2019-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Search for geophysical structures by their mathematical models and samples

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 127, p

    2019  Band 02024

    Abstract: When we analyze geophysical data, the task of searching for structures by their samples and mathematical models often appears. We propose to use deep neural networks (DNN) to search and detect the forms of geophysical structures. At the same time, both ... ...

    Abstract When we analyze geophysical data, the task of searching for structures by their samples and mathematical models often appears. We propose to use deep neural networks (DNN) to search and detect the forms of geophysical structures. At the same time, both the structure samples themselves and the synthesized structure samples according to their mathematical models act as a training dataset. End-to-end demonstration examples of the highlighting of reflection traces from different layers of the ionosphere in the ionograms, as well as the highlighting of whistler forms in the VLF spectrograms are presented.
    Schlagwörter Environmental sciences ; GE1-350
    Sprache Englisch
    Erscheinungsdatum 2019-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Algorithms and results of streaming whistler recognition

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 62, p

    2018  Band 02001

    Abstract: Algorithms for streaming whistler recognition are offered. Different stages of algorithms are considered. The developed algorithms are used on a mini-computer software and hardware complexes for monitoring very low-frequency electromagnetic radiation at ... ...

    Abstract Algorithms for streaming whistler recognition are offered. Different stages of algorithms are considered. The developed algorithms are used on a mini-computer software and hardware complexes for monitoring very low-frequency electromagnetic radiation at the Karymshina station in Kamchatka, on Oybenkel Geophysical Observatory of the Yu.G. Shafer Institute of Cosmophysical Research and Aeronomy (the Sakha Republic (Yakutia)), as well as recognition of whistlers is performed on the basis of open access data of abelian.org VLF station network in Todmorden United Kingdom (53,703N, 2.072W), Bielefeld Germany (52.146N, 8.458E), Cumiana Italy (44.96N, 7.42E), Warsaw Poland (52.16313N, 21.03094E), Australia Heathcote (36.804163S 144.67559E). Our whistler recognition results allowed us to establish on the days of strong whistler activity, there is an average positive correlation between the number of whistlers registered at Karymshino station in minutes of a day and the number of lightning strokes registered by WWLLN global network in minutes of a day in the coordinate rectangle LAT 25S-45S, LON 140E-160E (Australia).
    Schlagwörter Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2018-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Application of «Sensor signal analysis network» complex for distributed, time synchronized analysis of electromagnetic radiation

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 20, p

    2017  Band 02010

    Abstract: The paper considers a developing software-hardware complex «Sensor signal analysis network» for distributed and time synchronized analysis of electromagnetic radiations. The areas of application and the main features of the complex are described. An ... ...

    Abstract The paper considers a developing software-hardware complex «Sensor signal analysis network» for distributed and time synchronized analysis of electromagnetic radiations. The areas of application and the main features of the complex are described. An example of application of the complex to monitor natural electromagnetic radiation sources is considered based on the data recorded in VLF range. A generalized functional scheme of stream analysis of signals by a complex functional node is suggested and its application for stream detection of atmospherics, whistlers and tweaks is considered.
    Schlagwörter Environmental sciences ; GE1-350
    Sprache Englisch
    Erscheinungsdatum 2017-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Algorithms for changing the structure of geospace self-organizing question-answering sensor networks

    Mochalov Vladimir / Mochalova Anastasia

    E3S Web of Conferences, Vol 20, p

    2017  Band 02009

    Abstract: Optimization problems of construction, development and changing the structure of geospace self-organizing question-answering sensor networks (GSQASN) are considered. The task specifies the coordinates of various network nodes. It is required with the ... ...

    Abstract Optimization problems of construction, development and changing the structure of geospace self-organizing question-answering sensor networks (GSQASN) are considered. The task specifies the coordinates of various network nodes. It is required with the specified functional, structural, cost and spatial constraints to change the structure of the GSQASN by adding new nodes, moving to new positions or removing some existing nodes. After the formation of the GSQASN structure we solve the task of question-answer agents placement into GSQASN structure in order to be able to answer the given types of questions under the established limitations. The functional scheme of a given category nodes placement into GSQASN structure and approximate bio-inspired algorithms for solving the tasks are proposed. The results of the work can be used in the construction of specific GSQASN and in the GSQASN design support systems.
    Schlagwörter Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 000
    Sprache Englisch
    Erscheinungsdatum 2017-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Buch ; Dissertation / Habilitation: Role of centrality scores in identifying influential users in social networks for viral marketing applications

    Mochalova, Anastasia

    2015  

    Verfasserangabe Anastasia Mochalova [...]
    Sprache Englisch
    Umfang 112 Bl., graph. Darst.
    Dokumenttyp Buch ; Dissertation / Habilitation
    Dissertation / Habilitation Kath. Univ., Kumulative , Diss.--Eichstätt-Ingolstadt, 2015
    Anmerkung Zsfassung in dt. Sprache
    Datenquelle ECONomics Information System

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  9. Artikel ; Online: A phase 1b study of the allosteric extracellular FGFR2 inhibitor alofanib in patients with pretreated advanced gastric cancer.

    Tsimafeyeu, Ilya / Statsenko, Galina / Vladimirova, Liubov / Besova, Natalia / Artamonova, Elena / Raskin, Grigory / Rykov, Ivan / Mochalova, Anastasia / Utyashev, Igor / Gorbacheva, Svetlana / Kazey, Vasily / Gavrilova, Evgenia / Dragun, Nadezhda / Moiseyenko, Vladimir / Tjulandin, Sergei

    Investigational new drugs

    2023  Band 41, Heft 2, Seite(n) 324–332

    Abstract: Alofanib is a small-molecule allosteric extracellular FGFR2 inhibitor. We report safety and preliminary efficacy from the first-in-human phase 1b study of alofanib in heavily pretreated patients with advanced gastric cancer. The standard dose-escalation ... ...

    Abstract Alofanib is a small-molecule allosteric extracellular FGFR2 inhibitor. We report safety and preliminary efficacy from the first-in-human phase 1b study of alofanib in heavily pretreated patients with advanced gastric cancer. The standard dose-escalation design 3+3 aimed to establish the maximum tolerated dose (MTD) or recommended phase 2 dose (RP2D). Alofanib was administered daily intravenously 5 days on, 2 days off. There were five dose levels (50-350 mg/m2). All patients received alofanib until disease progression or unacceptable toxicity. 21 patients were enrolled. Patients were predominantly male (71%), 67% had 2 and more metastatic sites, including liver metastases (43%), 19% had ECOG PS 2, and were heavily pretreated (86% had previous 2 and more treatment lines). During dose escalation, no dose-limiting toxicities were observed, and MTD was not defined. 15 (71.4%) patients had at least one adverse event associated with the treatment (TRAE). Grade 3 or higher TRAEs were observed in 6 patients (28.6%). The most common TRAEs included reactions immediately after administration, diarrhea, thrombocytopenia, arthralgia, and headache. The median progression-free survival and overall survival was 3.63 (95% CI 1.58-5.68) and 7.0 (95% CI 3.82-10.18) months, respectively. The 6- and 12-month overall survival rates were 57.1% and 33.3%. Disease control rate was 68% with one durable partial response. The MTD has not been reached and dose of 350 mg/m2, 5 days on, 2 days off has been declared as RP2D. Alofanib showed acceptable tolerability and preliminary signs of clinical activity in the late-line treatment of metastatic gastric cancer. (ClinicalTrials.gov identifier: NCT04071184).
    Mesh-Begriff(e) Humans ; Male ; Female ; Stomach Neoplasms/drug therapy ; Stomach Neoplasms/pathology ; Benzoates/pharmacology ; Benzoates/therapeutic use ; Sulfonamides/therapeutic use ; Receptor, Fibroblast Growth Factor, Type 2
    Chemische Substanzen alofanib (LQX7RFK8MZ) ; Benzoates ; Sulfonamides ; FGFR2 protein, human (EC 2.7.10.1) ; Receptor, Fibroblast Growth Factor, Type 2 (EC 2.7.10.1)
    Sprache Englisch
    Erscheinungsdatum 2023-03-13
    Erscheinungsland United States
    Dokumenttyp Clinical Trial, Phase I ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 604895-x
    ISSN 1573-0646 ; 0167-6997
    ISSN (online) 1573-0646
    ISSN 0167-6997
    DOI 10.1007/s10637-023-01340-z
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel: A targeted approach to viral marketing

    Mochalova, Anastasia / Nanopoulos, Alexandros

    Electronic commerce research and applications Vol. 13, No. 4 , p. 283-294

    2014  Band 13, Heft 4, Seite(n) 283–294

    Verfasserangabe Anastasia Mochalova; Alexandros Nanopoulos
    Schlagwörter Viral marketing ; Social networks ; Centrality scores
    Sprache Englisch
    Umfang graph. Darst.
    Verlag Elsevier
    Erscheinungsort Amsterdam [u.a.]
    Dokumenttyp Artikel
    ZDB-ID 2539019-3
    ISSN 1567-4223
    Datenquelle ECONomics Information System

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