Rajib Shaw 研究室
主宰者：Rajib Shaw
慶應義塾大学
AI 要約（直近 5 年の研究成果）
要約はまだ生成されていません。
※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。
外部リンク
関連研究室(8 件)
- 工学Seiichiro Katsura 研究室慶應義塾大学論文 100 件·共通: VR・AR, 視覚・音メディア, 視覚メディア工学, ヒューマン・メディア情報 +2
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研究成果（100 件）
- DOI: https://doi.org/10.1080/13669877.2025.2611553
- DOI: https://doi.org/10.1109/tmc.2026.3712253
- DOI: https://doi.org/10.1007/s44217-026-01827-w
- DOI: https://doi.org/10.1007/s11069-026-08096-8
- DOI: https://doi.org/10.63737/jhl.25.0032
- DOI: https://doi.org/10.1016/j.nhres.2026.03.009
- DOI: https://doi.org/10.1016/j.esd.2025.101884
- [2025] Snow cover analysis using NDSI and SWI indices in Pindari-Kafni Glacier valleys, Kumaon HimalayaDOI: https://doi.org/10.1007/s12518-025-00667-x
- DOI: https://doi.org/10.3390/su17219527
- DOI: https://doi.org/10.1007/s43545-025-01207-5
続きを表示（残り 90 件）閉じる
- DOI: https://doi.org/10.1016/j.ref.2025.100751
- [2025] Analysing hydrological balance of Pindar-Nandakini River Basin, Kumaon Himalaya using SWAT modelDOI: https://doi.org/10.54386/jam.v27i3.2964
- DOI: https://doi.org/10.1016/j.ecolmodel.2025.111320
- DOI: https://doi.org/10.3390/cli13090171
- DOI: https://doi.org/10.55976/jdh.42025141239-59
- [2025] Extreme Precipitation Risks in South Asia: Future Climate Change Impacts on Population and CroplandDOI: https://doi.org/10.1002/joc.70057
- [2025] Assessing Healthcare Approaches on Dealing with Heat Wave for Older Population: Tokyo ExperienceDOI: https://doi.org/10.1142/s2345737625500058
- DOI: https://doi.org/10.63737/jhl.25.0025
- DOI: https://doi.org/10.3390/rsee2030019
- DOI: https://doi.org/10.1007/s12524-025-02251-7
- DOI: https://doi.org/10.54963/ptnd.v4i1.853
- DOI: https://doi.org/10.53935/26415313.v8i4.455
- DOI: https://doi.org/10.1007/s11069-025-07476-w
- DOI: https://doi.org/10.1016/j.ugj.2025.06.001
- DOI: https://doi.org/10.3390/su17125548
- DOI: https://doi.org/10.1016/j.nerpsj.2025.100015
- DOI: https://doi.org/10.54517/ssd3659
- [2025] Analysis of citizen science program for disaster risk reduction in Japan: the case of SafecastDOI: https://doi.org/10.1007/s44367-025-00007-1
- DOI: https://doi.org/10.3390/su17083373
- DOI: https://doi.org/10.24298/hedn.2024-0003
- DOI: https://doi.org/10.1007/s44279-025-00176-w
- DOI: https://doi.org/10.62754/joe.v4i2.6558
- DOI: https://doi.org/10.3390/urbansci9030054
- DOI: https://doi.org/10.1108/ijdrbe-07-2023-0082
- DOI: https://doi.org/10.1016/j.pdisas.2025.100496
- DOI: https://doi.org/10.3390/su172310644
- DOI: https://doi.org/10.3390/cli13120241
- DOI: https://doi.org/10.1108/ijdrbe-07-2023-0085
- DOI: https://doi.org/10.20965/jdr.2024.p0534
- DOI: https://doi.org/10.35534/rrd.2024.10001
- DOI: https://doi.org/10.1016/j.pdisas.2024.100400
- DOI: https://doi.org/10.3390/cli12120217
- DOI: https://doi.org/10.15341/mese(2333-2581)/5-6.10.2024/002
- DOI: https://doi.org/10.15341/mese(2333-2581)/5-6.10.2024/02
- DOI: https://doi.org/10.3390/cli12120201
- DOI: https://doi.org/10.54963/ptnd.v3i2.270
- [2024] Climate extremes walking together: Evidence from recent compounding climate hazards after RemalDOI: https://doi.org/10.1016/j.ijdrr.2024.104974
- [2024] Climate Change and Heatwaves in India: Review of Impacts on Public Health, Livelihoods, and PolicyDOI: https://doi.org/10.9734/ijecc/2024/v14i114575
- DOI: https://doi.org/10.55493/5051.v9i2.5216
- DOI: https://doi.org/10.1111/jfr3.13036
- DOI: https://doi.org/10.20517/dpr.2024.07
- DOI: https://doi.org/10.1016/j.nhres.2024.08.004
- DOI: https://doi.org/10.1016/j.pdisas.2024.100364
- DOI: https://doi.org/10.20517/dpr.2024.05
- DOI: https://doi.org/10.14246/irspsd.12.3_238
- DOI: https://doi.org/10.1016/j.nhres.2024.06.006
- DOI: https://doi.org/10.54963/ptnd.v3i1.283
- DOI: https://doi.org/10.1016/j.ijdrr.2024.104632
- DOI: https://doi.org/10.1038/s44168-024-00133-1
- DOI: https://doi.org/10.55493/5007.v14i5.5106
- DOI: https://doi.org/10.1016/j.rspp.2024.100073
- DOI: https://doi.org/10.1016/j.rsase.2024.101201
- DOI: https://doi.org/10.3390/su16114504
- DOI: https://doi.org/10.1080/13669877.2024.2368187
- DOI: https://doi.org/10.1016/j.pdisas.2024.100325
- DOI: https://doi.org/10.1371/journal.pclm.0000289
- DOI: https://doi.org/10.1016/j.ijdrr.2024.104331
- DOI: https://doi.org/10.31357/fesympo.v27.7051
- DOI: https://doi.org/10.3390/su16041550
- DOI: https://doi.org/10.1016/j.aiig.2024.100069
- DOI: https://doi.org/10.1016/j.ijdrr.2024.104240
- DOI: https://doi.org/10.35534/rrd.2023.10004
- DOI: https://doi.org/10.3390/hydrogen4040056
- DOI: https://doi.org/10.1111/geoj.12556
- DOI: https://doi.org/10.1108/ijdrbe-12-2022-0125
- DOI: https://doi.org/10.3390/su151713213
- DOI: https://doi.org/10.20965/jdr.2023.p0649
- DOI: https://doi.org/10.1016/j.ugj.2023.08.003
- DOI: https://doi.org/10.1016/j.ijdrr.2023.103873
- DOI: https://doi.org/10.3390/su151411042
- DOI: https://doi.org/10.11591/edulearn.v18i1.20921
- DOI: https://doi.org/10.1016/j.nhres.2023.04.006
- DOI: https://doi.org/10.7186/wg491202303
- DOI: https://doi.org/10.3390/en16083596
- DOI: https://doi.org/10.1007/s11069-023-05929-8
- DOI: https://doi.org/10.3390/su15086390
- DOI: https://doi.org/10.1016/j.pdisas.2023.100285
- [2023] Urban flood resilience: mapping knowledge, trends and structure through bibliometric analysisDOI: https://doi.org/10.1007/s10668-023-03094-3
- DOI: https://doi.org/10.3390/cli11030065
- DOI: https://doi.org/10.1016/j.pdisas.2023.100279
- DOI: https://doi.org/10.3390/land12030650
- DOI: https://doi.org/10.1016/j.pdisas.2023.100275
- DOI: https://doi.org/10.1016/j.pdisas.2023.100274
- [2023] Local Production, Consumption, and Innovation: Enhancing Sustainability through SMEs in JapanDOI: https://doi.org/10.35534/rrd.2023.10008
- DOI: https://doi.org/10.35534/rrd.2023.10002
- DOI: https://doi.org/10.1016/j.ijdrr.2022.103306
- DOI: https://doi.org/10.1080/23789689.2022.2138165
- DOI: https://doi.org/10.1017/s1557466022019428
- DOI: https://doi.org/10.3390/smartcities5040067
- DOI: https://doi.org/10.3390/ijerph191911846
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