Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Nishant Malik"'
Autor:
Kushanav Bhuyan, Kamal Rana, Joaquin V. Ferrer, Fabrice Cotton, Ugur Ozturk, Filippo Catani, Nishant Malik
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. These models’ performances are limited as landslide databases used in developing them often miss crucial information, e.g., u
Externí odkaz:
https://doaj.org/article/16b0cd258bc0433abf6c8dc3a76bb7c8
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
The human leukocyte antigen (HLA) system is a complex of genes on chromosome 6 in humans that encodes cell surface proteins responsible for regulating the immune system. Viral peptides presented to cancer cell surfaces by the HLA trigger the immune s
Externí odkaz:
https://doaj.org/article/84638dd33ae34796b0b4424cec82d585
Publikováno v:
Abstracts
The accuracy of landslide hazard models depends on landslide databases for model training and testing. Landslide databases frequently lack information on the underlying triggering mechanism (i.e., earthquake, rainfall), rendering them nearly useless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc47edbcb88d1ee9e2b50b49e4ea5a80
https://doi.org/10.5194/egusphere-egu23-1131
https://doi.org/10.5194/egusphere-egu23-1131
Autor:
Jenna S. McDanold, Nishant Malik
Publikováno v:
Physical Review E. 107
Publikováno v:
Natural Hazards and Earth System Sciences (NHESS)
Landslide hazard models aim at mitigating landslide impact by providing probabilistic forecasting, and the accuracy of these models hinges on landslide databases for model training and testing. Landslide databases at times lack information on the und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23bf5d5897041ff98298cc627a0a228b
https://nhess.copernicus.org/articles/22/3751/2022/
https://nhess.copernicus.org/articles/22/3751/2022/
Autor:
Nicholas John, Nishant Malik
Publikováno v:
Journal of Computational Science. 67:101968
Publikováno v:
Journal of the Association for Information Science and Technology. 72:811-823
Many features of the U.S. political economy arise from the interactions between large political and economic institutions, and yet we know little about the nature of their interactions and...
Publikováno v:
Network Science. 7:438-444
Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural features. These features tend to be shared by networks belonging to th
Publikováno v:
Geophysical Research Letters
Electronic databases of landslides seldom include the triggering mechanisms, rendering these inventories unusable for landslide hazard modeling. We present a method for classifying the triggering mechanisms of landslides in existing inventories, thus
Autor:
Nishant Malik
Publikováno v:
Chaos (Woodbury, N.Y.). 30(8)
We present a hybrid framework appropriate for identifying distinct dynamical regimes and transitions in a paleoclimate time series. Our framework combines three powerful techniques used independently of each other in time series analysis: a recurrenc