Dil Kumar

ORCID: 0000-0001-8913-0343
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About
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Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrological Forecasting Using AI
  • Advanced Steganography and Watermarking Techniques
  • Chaos-based Image/Signal Encryption
  • Internet Traffic Analysis and Secure E-voting
  • Cryospheric studies and observations

Institute of Mountain Hazards and Environment
2021-2024

Chinese Academy of Sciences
2021-2024

University of Chinese Academy of Sciences
2024

Abstract Quantifying the attribution of climate change and human activities on runoff suspended sediment load is crucial for formulating future watershed management measures, especially in ecologically fragile alpine region, which more susceptible to activities. In this study, temporal changes runoff‐suspended potential impact factors (i.e., precipitation, evapotranspiration (PET), land use/land cover (LULC) reservoir operation) were investigated Lhasa River Basin (LRB) from 1956 2020....

10.1002/esp.5917 article EN Earth Surface Processes and Landforms 2024-07-09

The information hiding deals with distortion reduction using steganography and security enhancement us- ing cryptography. Distortion is done Tree Based Parity Check which uses Majority vote strategy. very optimal for cloaking a message on image. proposed majority strategy results in least distortion. SHA-1 algorithm implemented enhancement. result obtained method works effectively even large payload. I.I NTRODUCTION Stenography studies the scheme to hide secrets into com- munication between...

10.15373/22778179/aug2012/13 article EN International Journal of Scientific Research 2012-06-01

Abstract With climate change, hydro-climatic hazards, i.e., floods in the Himalayas regions, are expected to worsen, thus, likely affect humans and socio-economic growth. Precisely, Koshi River basin (KRB) is often impacted by flooding over year. However, studies on estimating predicting still lack this basin. This study aims at developing flood probability map using machine learning algorithms (MLAs): gaussian process regression (GPR) support vector (SVM) with multiple kernel functions...

10.21203/rs.3.rs-749595/v1 preprint EN cc-by Research Square (Research Square) 2021-08-17
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