GEOSPATIAL MODELING TO ASSESS GEOMORPHOLOGICAL RISK FOR RELENTLESS SHIFTING CULTIVATION IN GARO HILLS OF MEGHALAYA, NORTH EAST INDIA

Geospatial Modeling To Assess Geomorphological Risk For Relentless Shifting Cultivation In Garo Hills Of Meghalaya, North East India

chicago cubs tumbler Due to shifting cultivation, the overall structure and composition of ecological condition is affected, hence landscape study becomes important for maintaining ecological diversity and appropriate scientific planning of any area.Garo hills region of northeast India is suffering from Geomorphological risk like sheet erosion, lan

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Fake Banknote Recognition Using Deep Learning

Recently, some state-of-the-art works have used deep learning-based architectures, modbiv specifically convolutional neural networks (CNNs), for banknote recognition and copyright detection with promising results.However, it is not clear which design strategy is more appropriate (custom or by transfer learning) in terms of classifier performance an

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