Exploring the emerging ICT trends in seismic hazard by scientometric analysis during 2010–2019

Saini, Kanika; Sood, Sandeep K.

doi:10.1007/s12665-021-09597-4

Cited by 8 publications

(3 citation statements)

References 60 publications

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“…The central idea behind SA is the knowledge integration of a domain and understanding of the structure and pattern of the field with the help of quantitative and statistical analysis (Van Eck and Waltman, 2011 ; Rawat and Sood 2021 ). It provides an interesting way of understanding topics that emerged in a dynamic research field, taking bibliometric data as an input to the analysis (Saini and Sood, 2021 ). It is mainly used to establish relationships between nodes such as publications, authors, sources/journals or keywords.…”

Section: Methodsmentioning

confidence: 99%

Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis

2022

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Scores of researchers have paid attention to empirical and conceptual dimensions of Customer relationship management (CRM). A few studies summarise the research output of CRM focusing on a specific industry. Nevertheless, there is scant literature summarising the research output of CRM in contrast to the data mining-based CRM. This study presents a scientometric analysis that evaluates CRM research output with a special focus on data mining-based CRM. Bibliometric data were extracted for the period 2000–2020 from the Web of Science database to apply descriptive analysis and scientometric analysis to obtain the bibliometric profile of CRM research. Further, we generated the conceptual structure map using multiple correspondence analysis and clustering for CRM and data mining-based CRM research fields. Interestingly, the analysis revealed that the future trendfi of CRM research would be based on techniques associated with machine learning and artificial intelligence. The study provides extensive insight into the basic structure of the CRM and data mining-based CRM research domain and identifies future research areas.

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Section: Methodsmentioning

confidence: 99%

Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis

2022

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“…Set of dynamic interference types 1 DIS 2 Set of dynamic interference types 2 DIS 3 Set of dynamic interference types 3…”

Section: Fundingmentioning

confidence: 99%

“…According to relevant research reports [1], the Wenchuan earthquake in 2008 caused 69,277 deaths, 374,643 injuries, 17,923 people missing, and direct economic losses of more than 800 billion US dollars and the 2015 earthquake in Nepal caused at least 8786 deaths, 22,303 injuries, and economic losses of about 113 billion yuan. The way to reduce the impact of natural disasters on human life, the economy and the environment requires not only to be prepared for detection and early warning before disasters occur [2], but also rapid post-disaster relief supplies and post-disaster recovery work, which led to the emergence of an EMDS. Due to the destruction of ground communication facilities, road traffic, and increased environmental hazards, the selection of vehicles in EMDS presents challenges.…”

Section: Introductionmentioning

confidence: 99%

An Improved Intelligent Auction Mechanism for Emergency Material Delivery

Zhang

Zhu²,

Wang³

et al. 2022

Mathematics

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Emergency material delivery is vital to disaster emergency rescue. Herein, the framework of the emergency material delivery system (EMDS) with the unmanned aerial vehicle (UAV) as the vehicle is proposed, and the problem is modeled into a multi-trip time-dependent dynamic vehicle routing problem with split-delivery (MTTDDVRP-SD) in combination with the rescue reality, which provides decision support for planning disaster relief material. Due to the universality of dynamic interference in the process of material delivery, an optimization algorithm based on the traditional intelligent auction mechanism is proposed to avoid system performance degradation or even collapse. The algorithm adds pre-authorization and sequential auction mechanisms to the traditional auction mechanism, where the pre-authorization mechanism improves the capability performance of the system when there is no interference during the rescue process and the sequential auction mechanism improves the resilience performance of the system when it faces interferences. Finally, considering three types of interference comprehensively, which includes new task generations, task unexpected changes and UAV’s number decreases, the proposed algorithm is compared with DTAP (DTA based on sequential single item auctions) and CBBA-PR (consensus-based bundle algorithms-partial replanning) algorithms under different dynamic interference intensity scenarios for simulation experimental from two perspectives of the capability performance and resilience performance. The results of Friedman’s test with 99% confidence interval indicate that the proposed algorithm can effectively improve the capability performance and resilience performance of EMDS.

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Artificial intelligence and machine learning for disaster prediction: a scientometric analysis of highly cited papers

Kappi,

Mallikarjuna

2024

Nat Hazards

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Exploring the emerging ICT trends in seismic hazard by scientometric analysis during 2010–2019

Cited by 8 publications

References 60 publications

Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis

Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis

An Improved Intelligent Auction Mechanism for Emergency Material Delivery

Artificial intelligence and machine learning for disaster prediction: a scientometric analysis of highly cited papers

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