Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Deltas are always being favourite destination for human due to rich biodiversity and abundant resources yet at the same time; they are highly vulnerable to the impacts of natural hazards. Despite their proneness to hazards, coastal people make relentless efforts to cope with severe impacts through ageold indigenous knowledge and practices. Dwelling structures are directly being influenced by extreme events. The purpose of this study is to assess the association between natural hazards and housing pattern to combat extreme consequences in the islands of Indian Sundarban Delta (ISD). The western boundary of the ISD is the major focus of this study specifically Sagar, Ghoramara and Mousani Islands which are prone to regular occurrence of erosion, cyclone, storm surges, saline water inundation and flooding. This study attempts to estimate the influence of particular hazard on the housing structure by means of multinomial regression using collected primary survey data from randomly selected households within these islands.
Dr. Rituparna Hajra. 2026. \u201cChange in Housing Structure to Cope with Natural Hazards: A Statistical Analysis from Indian Sundarban\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 22 (GJHSS Volume 22 Issue B2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 107
Country: India
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: Dr. Rituparna Hajra, Sanjib Kumar Gupta (PhD/Dr. count: 1)
View Count (all-time): 166
Total Views (Real + Logic): 1737
Total Downloads (simulated): 21
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Deltas are always being favourite destination for human due to rich biodiversity and abundant resources yet at the same time; they are highly vulnerable to the impacts of natural hazards. Despite their proneness to hazards, coastal people make relentless efforts to cope with severe impacts through ageold indigenous knowledge and practices. Dwelling structures are directly being influenced by extreme events. The purpose of this study is to assess the association between natural hazards and housing pattern to combat extreme consequences in the islands of Indian Sundarban Delta (ISD). The western boundary of the ISD is the major focus of this study specifically Sagar, Ghoramara and Mousani Islands which are prone to regular occurrence of erosion, cyclone, storm surges, saline water inundation and flooding. This study attempts to estimate the influence of particular hazard on the housing structure by means of multinomial regression using collected primary survey data from randomly selected households within these islands.
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