DUAL STRATEGY BASED IMPROVED SWARM INTELLIGENCE AND STACKED LSTM WITH RESIDUAL CONNECTION FOR LAND USE LAND COVER CLASSIFICATION

Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification

Land use land cover (LULC) classification using satellite images is crucial for land-use inventories and environment modeling.The LULC classification is a difficult task because of the high liftmaster 3 button station dimensional feature space, which affects the classification accuracy.This article proposes a dual strategy-based bald eagle search (

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Sub-Nyquist sampling for short pulses with Gabor frames

Abstract For analog signals comprised of ranchy doodle several, possibly overlapping, finite duration pulses with unknown shapes and time positions, an efficient sub-Nyquist sampling systems is based on Gabor frames.To improve the realizability of this sampling system, we present alternative method for the case that Gabor windows are high order exp

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The prediction of Influenza A/H3N2 Vaccine Efficacy using samples obtained from Indonesian Hajj pilgrims in 2013

Abstrak Latar Belakang: Vaksinasi merupakan salah satu cara efektif dalam mengontrol dan mengurangi beban penyakit yang disebabkan oleh Influenza.Akan tetapi, efikasi vaksin bisa bervariasi jika strain yang digunakan untuk vaksin berbeda dengan strain yang bersirkulasi di dunia.Hal ini menunjukan pentingnya melakukan analisa prediksi efikasi vaksin

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