Electronic catalog

DDC 621.36/7028557
B 57

    Big data analytics for satellite image processing and remote sensing / / P. Swarnalatha and Prabu Sevugan, editors. - Hershey, PA : : Engineering Science Reference,, [2018]. - 1 online resource. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C1D4A4F8-1AC9-4578-A2F7-4FA2E0DE5187. - ISBN 9781522536444 (electronic bk.). - ISBN 1522536442 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Big data analytics for satellite image processing and remote sensing. - Hershey, PA : Engineering Science Reference, [2018]. - ISBN 9781522536437

Big data analytics for satellite image processing and remote sensing / [Электронный ресурс] / P. Swarnalatha and Prabu Sevugan, editors., [2018]. - 1 online resource. с.

DDC 610.72/4
S 88
Strasser, Bruno J. ,
    Collecting experiments : : making big data biology / / Bruno J. Strasser. - Chicago : : The University of Chicago Press,, 2019. - 1 online resource (pages). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/859DA899-59CC-476F-9073-250136FE2AF5. - ISBN 9780226635187 (electronic bk.). - ISBN 022663518X (electronic bk.)
Print version record.
Параллельные издания: Print version: : Strasser, Bruno J. Collecting experiments. - Chicago : The University of Chicago Press, 2019. - ISBN 9780226634999
    Содержание:
Introduction -- Biology, computers, data -- Biology transformed -- Naturalists vs. experimentalists? -- The laboratory and experimentalism -- The museum and natural history -- Live museums -- Blood banks -- Data atlases -- Virtual collections -- Public databases -- Open science -- Conclusion. The end of model organisms? ; The new politics of knowledge.

Strasser, Bruno J., Collecting experiments : [Электронный ресурс] : making big data biology / / Bruno J. Strasser., 2019. - 1 online resource (pages) с. (Введено оглавление)

DDC 363.12/5
M 84
Moridpour, Sara, (1980-).
    Big data analytics in traffic and transportation engineering : : emerging research and opportunities / / by Sara Moridpour. - Hershey, PA : : Engineering Science Reference,, ©2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/72BD0CAA-C0CF-4FAF-A64B-AC716719D3F9. - ISBN 9781522579441 (electronic bk.). - ISBN 1522579443 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Moridpour, Sara, 1980- Big data analytics in traffic and transportation engineering. - Hershey, PA : Engineering Science Reference, [2019]. - ISBN 9781522579434
    Содержание:
Access to public transport in metropolitan areas -- Bikeability in metropolitan areas -- Walkability in metropolitan areas -- Applying decision tree approaches on vehicle-pedestrian crashes -- Neighbourhood influences on vehicle-pedestrian crash severity -- Spatial and temporal distribution of pedestrian crashes -- Contributing factors on vehicle-pedestrian crash severity of school-aged pedestrians.

Moridpour, Sara,. Big data analytics in traffic and transportation engineering : [Электронный ресурс] : emerging research and opportunities / / by Sara Moridpour., ©2019. - 1 online resource. с. (Введено оглавление)

DDC 307.1/2160285
S 78

    Spatial planning in the big data revolution / / Angioletta Voghera and Luigi La Riccia, editors. - 4018/978-1-5225-7927-4. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, [2019]. - 1 online resource (27 PDFs (359 pages)) ( час. мин.), 4018/978-1-5225-7927-4. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DAB7BEC0-2C87-4A13-9F85-4040C5B14D79. - ISBN 1522579281. - ISBN 9781522579281 (electronic bk.)
Description based on title screen (IGI Global, viewed 02/23/2019).
Параллельные издания: Print version: :
    Содержание:
Chapter 1. Section placeholder ; Chapter 2. Towards knowledge-based spatial planning ; Chapter 3. Modelling and assessing spatial big data: use cases of the openstreetmap full-history dump ; Chapter 4. Big data and high-performance analyses and processes ; Chapter 5. IoT platforms and technologies driving spatial planning and analytics ; Chapter 6. The walkability of the cities: improving it through the reuse of available data and raster analyses ; Chapter 7. Section placeholder ; Chapter 8. Defining energy criteria in the absence of open data: a stakeholder-oriented approach based on multi-criteria analysis (MCA) ; Chapter 9. Can big data support smart(er) evaluation?: theoretical consideration starting from the territorial integrated evaluation approach ; Chapter 10. Ecosystem service evaluation for landscape planning policies: addressing data availability issues ; Chapter 11. Section placeholder ; Chapter 12. Semantic spatial representation and collaborative mapping in urban and regional planning: the ontomap community project ; Chapter 13. Researching and enabling youth geographies in the digital and material city: the Teencarto project ; Chapter 14. A territorial dimension can be useful for managing long-term regional road safety ; Chapter 15. Defining urban planning strategy through social media application ; Chapter 16. A planning model for cognitive cities: spatial cognition through a participatory approach.

Spatial planning in the big data revolution / [Электронный ресурс] / Angioletta Voghera and Luigi La Riccia, editors., [2019]. - 1 online resource (27 PDFs (359 pages)) с. (Введено оглавление)

DDC 630.2085
S 68

    Smart agricultural services using deep learning, big data, and IoT / / Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, Harish Sharma. - Hershey, PA : : Engineering Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource. - (Advances in environmental engineering and green technologies (AEEGT) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/FAB88504-AE18-4A42-98A4-540E4ED27C05. - ISBN 1799850048 (electronic book). - ISBN 9781799850045 (electronic bk.)
Description based on online resource; title from digital title page (viewed on November 25, 2020).
Параллельные издания: Print version: : Smart agricultural services using deep learning, big data, and IoT. - Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2021]. - ISBN 9781799850038
    Содержание:
Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things -- Chapter 2. Automated fruit grading system using image fusion -- Chapter 3. Fog computing as solution for IoT-based agricultural applications -- Chapter 4. Green cloud -- Chapter 5. Internet of things: a conceptual visualisation -- Chapter 6. Internet of things and the role of wireless sensor networks in IoT -- Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing -- Chapter 8. Plant diseases concept in smart agriculture using deep learning -- Chapter 9. Smart agriculture and farming services using IoT -- Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things) -- Chapter 11. An analysis of big data analytics -- Chapter 12. Towards intelligent agriculture using smart IoT sensors.

Smart agricultural services using deep learning, big data, and IoT / [Электронный ресурс] / Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, Harish Sharma., [2021]. - 1 online resource. с. (Введено оглавление)

DDC 530.8
P 36
Péceli, Gábor.
    Measurement and Data Science. / Gábor. Péceli. - Newcastle-upon-Tyne : : Cambridge Scholars Publisher,, 2021. - 1 online resource (375 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/04EFB6EF-1ED4-497C-B9F2-9DF22681E9EC. - ISBN 1527564266. - ISBN 9781527564268 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Péceli, Gábor Measurement and Data Science. - Newcastle-upon-Tyne : Cambridge Scholars Publisher,c2021. - ISBN 9781527560710

Péceli, Gábor. Measurement and Data Science. [Электронный ресурс] / Gábor. Péceli, 2021. - 1 online resource (375 p.) с.

DDC 621.39/81
I 56

    Implementing data analytics and architectures for next generation wireless communications / / Chintan Bhatt, Neeraj Kumar, Ali Kashif Bashir, Mamoun Alazab. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2022]. - 1 online resource (xiii, 227 pages) : : il. - (Advances in wireless technologies and telecommunication (AWTT) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/45878870-E5F2-42DC-8010-361F6C9C1BB1. - ISBN 1799869911 (electronic book). - ISBN 9781799869900 (electronic book). - ISBN 1799869903 (electronic book). - ISBN 9781799869917 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on October 12, 2021).
Параллельные издания: Print version: : Implementing data analytics and architectures for next generation wireless communications. - Hershey, PA : Information Science Reference (an imprint of IGI Global), [2021]. - ISBN 9781799869887
    Содержание:
Implementing data analytics and architectures for next generation wireless communications / Chintan Bhatt, Charotar University of Science and Technology, India, Neeraj Kumar, Thapar University, India, Ali Kashif Bashir, Manchester Metropolitan University, United Kingdom, Mamoun Alazab, Charles Darwin University, Australia -- Evaluation of turbo decoder performance through software reference model / Manjunatha N, Jain (Deemed-To-Be-University), India, Raghu N, Jain (Deemed-To-Be-University), India, Kiran B, Jain (Deemed-to-be University), India -- Role of Zigbee protocol in smart home appliances / Sirineni Lakshmi, Aurora's Degree & PG College, Dr. Viswanadham Bulusu, Aurora's Degree & PG College, India, Hari Prasada Rao Javangula, Aurora's Degree & PG College, India.

Implementing data analytics and architectures for next generation wireless communications / [Электронный ресурс] / Chintan Bhatt, Neeraj Kumar, Ali Kashif Bashir, Mamoun Alazab., [2022]. - 1 online resource (xiii, 227 pages) : с. (Введено оглавление)

DDC 616.8/0475
E 11

    Early detection of neurological disorders using machine learning systems / / Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. - Hershey, PA : : Medical Information Science Reference,, ©2019. - 1 online resource : : il. - (Advances in medical technologies and clinical practice book series). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/41AA37F5-CB4C-46F3-8B1D-D885B2FB8422. - ISBN 9781522585688 (electronic bk.). - ISBN 1522585680 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Early detection of neurological disorders using machine learning systems. - Hershey, PA : Medical Information Science Reference, [2020]. - ISBN 9781522585671
    Содержание:
Epileptic seizure detection and classification using machine learning -- Rekh Janghel, Yogesh Rathore, Gautam Tiparti -- A study on basal ganglia circuit and its relation with movement disorders / Ankita Tiwari, Raghuvendra Tripathi, Dinesh Bhatia -- Social media analytics to predict depression level in the users / Mohammad Shahid Husain -- Tremor identification using machine learning in Parkinson's disease -- Angana Saikia, Vinayak Majhi, Masaraf Hussain, Sudip Paul, Amitava Datta -- Soft computing based early detection of Parkinson's disease using non-invasive method based on speech analysis / Chandrasekar Ravi -- Neurofeedback -retrain the brain / Meena Gupta, Dinesh Bhatia -- Neurocognitive mechanisms for detecting early phase of depressive disorder analysis of event related potentials in human brain / Shashikanta Tarai -- Intelligent big data analytics in health : big data analytics in health / Ebru Bayrak, Pinar Kirci -- Motor imagery classification using EEG signals for brain computer interface applications / Subrota Mazumdar, Rohit Chaudharya, Suruchi Suruchi, Suman Mohanty, Divya Kumari, Aleena Swetapadma -- Mapping the intellectual structure of the field neurological disorders : a bibliometric analysis / S. Ravikmar -- Medical image segmentation an advanced approach / Ramgopal Kashyapdia.

Early detection of neurological disorders using machine learning systems / [Электронный ресурс] / Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors., ©2019. - 1 online resource : с. (Введено оглавление)

DDC 616.99/40072
L 96
Lu, Zhongyu, (1955-).
    Machine learning in cancer research with applications in colon cancer and big data analysis / / Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. - 4018/978-1-7998-7316-7. - Hershey, PA : : IGI Global, Medical Information Science Reference,, [2021]. - 1 online resource (ix, 263 pages) : : il ( час. мин.), 4018/978-1-7998-7316-7. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/41AC11BD-CBB1-411A-AB8B-092BF4B4550A. - ISBN 179987317X (electronic book). - ISBN 9781799873174 (electronic bk.)
"Premier reference source"--Cover. Description based on online resource; title from digital title page (viewed on May 10, 2021).
Параллельные издания: Print version: : Lu, Zhongyu, 1955- Machine learning in cancer research with applications in colon cancer and big data analysis. - Hershey, PA : Medical Information Science Reference, [2021]. - ISBN 9781799873167
    Содержание:
Chapter 1. Importance of information working with colon cancer research -- Chapter 2. An overview on bioinformatics -- Chapter 3. Research approach with machine learning underpinned -- Chapter 4. Design and procedures for the investigation conducted -- Chapter 5. Findings for the conducted investigations -- Chapter 6. Analysis, discussion, and evaluations for the case studies -- Chapter 7. Final remarks for the research with advanced machine learning methods in colon cancer analysis -- Chapter 8. Importance of research into big data with machine learning approach -- Chapter 9. Overview of big data with machine learning approach -- Chapter 10. Methodology for the research conducted -- Chapter 11. Hybrid-automl system development -- Chapter 12. Research output for the hybrid-automl system -- Chapter 13. Final remarks and further work for the hybrid-automl system.

Lu, Zhongyu,. Machine learning in cancer research with applications in colon cancer and big data analysis / [Электронный ресурс] / Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor., [2021]. - 1 online resource (ix, 263 pages) : с. (Введено оглавление)

DDC 610.285
H 22

    Handbook of research on essential information approaches to aiding global health in the one health context / / Jorge Lima de Magalhães, Zulmira Hartz, George Leal Jamil, Henrique Silveira, C. Liliane Jamil. - 4018/978-1-7998-8011-0. - Hershey, PA : : Medical Information Science Reference, an imprint of IGI Global,, [2022]. - 1 online resource : : il ( час. мин.), 4018/978-1-7998-8011-0. - (Advances in data mining and database management (ADMDM) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/6AFA227D-7282-4379-B683-22E9B54E3B4C. - ISBN 9781799880127 (electronic book). - ISBN 1799880125 (electronic book)
Description based on online resource; title from digital title page (viewed on January 21, 2022).
Параллельные издания: Print version: : Handbook of research on information management and One Health. - Hershey, PA : Medical Information Science Reference, [2022]. - ISBN 9781799880110
    Содержание:
Knowledge-Based Healthcare System in the Cloud Computing Environment -- Knowledge Management in Big Data times for Global Health : Challenges for Quality in One Health -- Modelling Business in Healthcare : Challenges on emerging technologies adoption for innovative solutions -- Syndemic and One Health nature of pandemics -- implications for intelligence management Systems : Syndemic and One Health nature of pandemics -- Innovations for an Integrated Approach to 2030 Agenda -- Patent Landscape, One Health and Sustainable Development Goals -- Anvisa's prior consent as a contribution to Global Health and the One Health system an analysis based on the Kingdon multiple streams model : Global Health and the One Health system -- Productive Development Partnership as a strengthening of the South-South relationship -- Challenges and opportunities in the study of innovation ecosystems in the COVID-19 pandemic context : The role of open science in vaccine development -- Big Data at the service of Public Health Systems : Success cases in Brazilian public management -- One Health and information management in Big Data in Health: a Brazilian case study for Covid19 -- Big Data at the service of the Public Health Systems : Success cases in Brazilian public management -- Coping infodemic with scientific knowledge management, the COVID-19 Scientific Evidence Observatory : A case study of COVID-19 Scientific Evidence Observatory -- Events, evolution, controversies in the implementation of health surveillance qualification program.

Handbook of research on essential information approaches to aiding global health in the one health context / [Электронный ресурс] / Jorge Lima de Magalhães, Zulmira Hartz, George Leal Jamil, Henrique Silveira, C. Liliane Jamil., [2022]. - 1 online resource : с. (Введено оглавление)