Rainfall Induced Landslide Detection in Study Area using Machine Learning Model

Published: Oct. 11, 2023

In the present era of computing, communication and Technology, natural disaster can be controlled in an efficient manner. The hill sate is common. It mitigated using machine learning techniques. this manuscript out objective proposed a model which focus on rainfall induced landslide prediction uttarakhand state districts benchmark dataset. There good correlation between antecedent rain fall. fall supports for better accuracy correctness. with optimal performance metrics provides prior information about level its impact study area focused state. results show that Random Forest outperforms linear model, SVR neural network respectively. key indicators i.e. mean absolute error(MAE), root square error(RMSE) are improved by factor 79.05%, 83.34% evaluated analyzed against art methodologies

Language: Английский

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Utilizing Polarization Diversity in GBSAR Data-Based Object Classification

Sensors, Journal Year: 2024, Volume and Issue: 24(7), P. 2305 - 2305

Published: April 5, 2024

In recent years, the development of intelligent sensor systems has experienced remarkable growth, particularly in domain microwave and millimeter wave sensing, thanks to increased availability affordable hardware components. With smart Ground-Based Synthetic Aperture Radar (GBSAR) system called GBSAR-Pi, we previously explored object classification applications based on raw radar data. Building upon this foundation, study, analyze potential utilizing polarization information improve performance deep learning models GBSAR The data are obtained with a operating at 24 GHz both vertical (VV) horizontal (HH) polarization, resulting two matrices (VV HH) per observed scene. We present several approaches demonstrating integration such into modified ResNet18 architecture. also introduce novel Siamese architecture tailored accommodate dual input results indicate that simple concatenation method is most promising approach underscore importance considering antenna merging strategies

Language: Английский

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The generative adversarial neural network with multi-layers stack ensemble hybrid model for landslide prediction in case of training sample imbalance

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: April 26, 2024

Language: Английский

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Raising the Agenda of ‘Paradigm Shift’ in Applied Geomorphology: Question(s) or Acceptability

Geography of the physical environment, Journal Year: 2024, Volume and Issue: unknown, P. 3 - 16

Published: Jan. 1, 2024

Language: Английский

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Hyperautomation in precision agriculture using different unmanned aerial vehicles

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 323 - 330

Published: Nov. 22, 2024

Language: Английский

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