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  1. Artikel ; Online: ANFIS-based flood detection and vulnerability assessment framework

    Kaur, Mandeep / Kaur, Pankaj Deep / Sood, Sandeep K.

    Hydrological Sciences Journal. 2022 Nov. 18, v. 67, no. 15 p.2310-2326

    2022  

    Abstract: Flood is a common and critical environmental challenge with terrible consequences for humanity and civilization. An effective and consistent system for flood monitoring is required to mitigate its devastating impacts. This study presents an energy- ... ...

    Abstract Flood is a common and critical environmental challenge with terrible consequences for humanity and civilization. An effective and consistent system for flood monitoring is required to mitigate its devastating impacts. This study presents an energy-conserving cloud-assisted system for flood detection and vulnerability assessment. The system utilizes a Bayesian belief network (BBN) to detect flood events. The optimization-based adaptive neuro fuzzy inference system (ANFIS) is used as a vulnerability analysis component at the cloud layer for flood monitoring and forecasting. According to the findings, ANFIS-GOA (grasshopper optimization algorithm) provides the best values for: Willmott index (WI), 0.98322 and 0.96458; mean absolute error (MAE), 0.00138 and 0.00146; root mean square error (RMSE), 0.01953 and 0.01754 for the training phase; and WI index, 0.97251 and 0.98516; MAE, 0.00015 and 0.00042; RMSE, 0.0024 and 0.00193 for the testing phase for Kottayam and Idukki regions, respectively.
    Schlagwörter Bayesian theory ; algorithms ; fuzzy logic ; grasshoppers ; hydrology ; risk assessment ; cloud computing ; adaptive neuro fuzzy inference system (ANFIS) ; Bayesian belief network (BBN) ; flood detection ; flood vulnerability analysis ; Microsoft Azure ; grasshopper optimization algorithm (GOA)
    Sprache Englisch
    Erscheinungsverlauf 2022-1118
    Umfang p. 2310-2326.
    Erscheinungsort Taylor & Francis
    Dokumenttyp Artikel ; Online
    ISSN 2150-3435
    DOI 10.1080/02626667.2022.2138759
    Datenquelle NAL Katalog (AGRICOLA)

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  2. Artikel ; Online: Analytical mapping on trends of information technology in hydrometeorological disasters research

    Kaur, Mandeep / Kaur, Pankaj Deep / Sood, Sandeep K.

    Geocarto International. 2022 Dec. 13, v. 37, no. 26 p.14171-14197

    2022  

    Abstract: Hydrological and meteorological disasters have a massive global influence. These disasters result in colossal property loss, deaths, and societal disruption. Information and communication technologies can help to improve the disaster management process. ... ...

    Abstract Hydrological and meteorological disasters have a massive global influence. These disasters result in colossal property loss, deaths, and societal disruption. Information and communication technologies can help to improve the disaster management process. This study presents an analytical mapping of hydrometeorological disasters and various ITs in hazard management. It assesses the global research state of IT-based hydrometeorological disaster management in terms of citations analysis, prolific journals, organizations, and countries’ contributions. Keyword co-occurrence analysis has been performed through visualization graphs to highlight research areas. VOSViewer and Bibliometrix R-package has been used for in-depth analysis and visualization requirements to identify the ICT patterns, core regions, academics, and research topics. The study highlights the emerging research areas in disaster management such as forecasting, disaster risk assessment, prediction, energy efficiency, alert generation, warning system and artificial intelligence, IoT, and cloud computing technologies have greater scope manage the disasters. This research illustrates the significance of information technology in hydrometeorological disasters and provides recommendations for future IT-assisted disaster management efforts.
    Schlagwörter artificial intelligence ; disaster preparedness ; energy efficiency ; hydrometeorology ; information technology ; prediction ; risk assessment ; scientometric ; hydrometeorological disasters ; Scopus ; VOSViewer ; Biliometrix R ; disaster management
    Sprache Englisch
    Erscheinungsverlauf 2022-1213
    Umfang p. 14171-14197.
    Erscheinungsort Taylor & Francis
    Dokumenttyp Artikel ; Online
    ISSN 1752-0762
    DOI 10.1080/10106049.2022.2087006
    Datenquelle NAL Katalog (AGRICOLA)

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  3. Artikel ; Online: ICT in disaster management context: a descriptive and critical review

    Kaur, Mandeep / Kaur, Pankaj Deep / Sood, Sandeep Kumar

    Environ Sci Pollut Res. 2022 Dec., v. 29, no. 57 p.86796-86814

    2022  

    Abstract: Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been ... ...

    Abstract Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been neglected. This study is intended to reveal the worldwide research status of hydro-meteorological disasters and various ITs in hazard management through a descriptive and critical review of existing literature. The bibliographic data is collected from Scopus and PATSTAT from 2010 to 2019. This study provides a basic framework for data acquisition, literature selection, and analysis of published documents. A descriptive review of selected literature is conducted to reveal the growth of publications w.r.t. year-wise reported hazards, citation analysis of published documents, patent analysis, geographical status of different hazards research, most influential journals, institutions, and documents. Further, critical review is conducted to analyze the environmental issues, recent developments in ICT-based disaster management, resilience concerns, key research areas, and challenges to implement ICT in disaster management. The present analysis depicts the importance of information technology in disaster management and offers guidance for future disaster management work supported by IT.
    Schlagwörter data collection ; disaster preparedness ; hydrometeorology ; information technology
    Sprache Englisch
    Erscheinungsverlauf 2022-12
    Umfang p. 86796-86814.
    Erscheinungsort Springer Berlin Heidelberg
    Dokumenttyp Artikel ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-21475-5
    Datenquelle NAL Katalog (AGRICOLA)

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  4. Artikel ; Online: ICT in disaster management context: a descriptive and critical review.

    Kaur, Mandeep / Kaur, Pankaj Deep / Sood, Sandeep Kumar

    Environmental science and pollution research international

    2022  Band 29, Heft 57, Seite(n) 86796–86814

    Abstract: Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been ... ...

    Abstract Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been neglected. This study is intended to reveal the worldwide research status of hydro-meteorological disasters and various ITs in hazard management through a descriptive and critical review of existing literature. The bibliographic data is collected from Scopus and PATSTAT from 2010 to 2019. This study provides a basic framework for data acquisition, literature selection, and analysis of published documents. A descriptive review of selected literature is conducted to reveal the growth of publications w.r.t. year-wise reported hazards, citation analysis of published documents, patent analysis, geographical status of different hazards research, most influential journals, institutions, and documents. Further, critical review is conducted to analyze the environmental issues, recent developments in ICT-based disaster management, resilience concerns, key research areas, and challenges to implement ICT in disaster management. The present analysis depicts the importance of information technology in disaster management and offers guidance for future disaster management work supported by IT.
    Mesh-Begriff(e) Disaster Planning ; Disasters ; Bibliometrics ; Publications ; Safety Management
    Sprache Englisch
    Erscheinungsdatum 2022-07-07
    Erscheinungsland Germany
    Dokumenttyp Review ; Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-21475-5
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Cloud based intelligent system for delivering health care as a service.

    Kaur, Pankaj Deep / Chana, Inderveer

    Computer methods and programs in biomedicine

    2014  Band 113, Heft 1, Seite(n) 346–359

    Abstract: The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of ... ...

    Abstract The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity.
    Mesh-Begriff(e) Algorithms ; Delivery of Health Care/organization & administration ; Health Status ; Internet
    Sprache Englisch
    Erscheinungsdatum 2014
    Erscheinungsland Ireland
    Dokumenttyp Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2013.09.013
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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