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First Name: 
SHUBHANKAR
Last Name: 
MAJUMDAR

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This paper presents a bi-directional Long ShortTerm Memory (LSTM) model for the detection of landslides. Previous uses of machine learning in this setting have demonstrated its general potential, which necessitates the implementation of a suitable algorithm. Landslides are natural disasters that can cause significant destruction and disruption in the affected areas. Early detection is the key to minimizing the impact of landslides, so it is important to develop accurate and efficient models.

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We present a Graphical User Interface (GUI) for animated learning of semiconductor device operations. The GUI encompasses the following features:

Depletion Width Variation: Visualize the alteration of depletion width through reverse bias modulation.

Diode Characteristics: Explore diode behavior across different biases, revealing its distinctive characteristics.

Diode IV Characteristics: Gain insights into diode current-voltage characteristics via interactive graphs.

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136 Views

Integrative Augmented Reality Gaming: Immersive Human-Machine Interaction

 

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182 Views