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Satellite Image Time-series

isprs annals III 7 149 2016

isprs annals III 7 149 2016

... (VHR) satellite image time series (SITS) to monitor the changes in buildings with higher ...robust time-series data analysis method for VHR stereo ...VHR satellite images ...

7

isprs archives XLI B3 469 2016

isprs archives XLI B3 469 2016

... Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse ...in time of the non-corrupted pixels around ...

5

isprs archives XLI B3 475 2016

isprs archives XLI B3 475 2016

... processing satellite images because they may alter the quality of some products such as large-area ...initial satellite images using a dedicated ...times series of Landsat 8 and Pléiades-HR images ...

5

isprsarchives XXXIX B3 559 2012

isprsarchives XXXIX B3 559 2012

... acquire satellite images without any cloud, especially in areas such as the French overseas territories ...of satellite data generally wait for a favourable weather window so that the cloud cover is ...

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Peramalan Kelembaban Udara dengan pendek

Peramalan Kelembaban Udara dengan pendek

... dengan time series ada 2 kategori utama yang perlu dilakukan pengujian, yaitu pemulusan (smoothing) dan dekomposisi ...data time series menjadi beberapa komponen dari Trend, Siklis, Musiman ...

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isprs archives XLI B8 1067 2016

isprs archives XLI B8 1067 2016

... Researchers of various countries are actively involved in the issues of drought detection, risk identification and assessment of the damage (Seiler and al., 2010; Zhang and al., 2010; Shcherbenko, 2011; Savin and al., ...

5

isprsarchives XXXVIII 8 W20 134 2011

isprsarchives XXXVIII 8 W20 134 2011

... rotations Time-evolution of carbon uptake in agro-ecosystem differs from natural ecosystems and is a key to understand influence of phenology, environmental and cropping practice such as crop rotation and C4/C3 ...

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Penerapan Multivariate Cusum Time Series untuk Mendeteksi Kegagalan Bank di Indonesia

Penerapan Multivariate Cusum Time Series untuk Mendeteksi Kegagalan Bank di Indonesia

... Multivariate cusum time series yang dikembangkan oleh Kahya dan Theodossiou 1996 diharapkan mampu mengatasi kelemahan dari Pada akan dilakukan penerapan multivariate time series untu[r] ...

6

isprs archives XLI B8 481 2016

isprs archives XLI B8 481 2016

... During the past few decades the Greenland and Antarctic ice sheets have lost ice at accelerating rates, caused by increasing surface temperature. The melting of the two big ice sheets has a big impact on global sea level ...

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UNIVERSITY OF NAIROBI SCHOOL OF ECONOMIC

UNIVERSITY OF NAIROBI SCHOOL OF ECONOMIC

... to Time Series Analysis SLT IIB Chiromo R... to Time Series Analysis SLT IIB Chiromo R.[r] ...

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Understanding the Kalman Filter

Understanding the Kalman Filter

... JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, a[r] ...

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Peramalan Kebutuhan Pelumas Castrol di PT. Astra International Daihatsu dengan Metode ARIMA untuk Optimasi Persediaan - Repositori UIN Alauddin Makassar

Peramalan Kebutuhan Pelumas Castrol di PT. Astra International Daihatsu dengan Metode ARIMA untuk Optimasi Persediaan - Repositori UIN Alauddin Makassar

... data time series, karena jika suatu data time series tidak stasioner maka hanya dapat mempelajari prilakunya pada waktu tertentu, sedangkan untuk peramalan (forecasting) akan sulit untuk ...

91

Spectral approach for time series analysis

Spectral approach for time series analysis

... macroeconomic time series dates motivated by the requirement of a more insightful knowledge of the series structure and supported by the contemporaneous progress in spectral estimation and ...among ...

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GARIS-GARIS BESAR PROGRAM PEMBELAJARAN (GBPP) DAN SATUAN ACARA PEMBELAJARAN (SAP)

GARIS-GARIS BESAR PROGRAM PEMBELAJARAN (GBPP) DAN SATUAN ACARA PEMBELAJARAN (SAP)

... Praja dapat menerapkan langkah-langkah erhitungan data time series - Praja merumuskan pengertian Time Series Trend setelah mendiskusikan beberapa pengertian yang dipaparkan melalui tra[r] ...

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Neural Networks for Time Series Processing

Neural Networks for Time Series Processing

... Thirdly, like in the Jordan network, self-recurrent loops in the state layer can be introduced. The weights of these loops, and the weights of the feedback copies resulting from the recurrent one-to-one connections, are ...

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Chapter16 - Time-Series Forecasting and Index

Chapter16 - Time-Series Forecasting and Index

... Chapter Summary  Discussed the importance of forecasting  Addressed component factors of the time-series model  Performed smoothing of data series  Moving averages  Exponenti[r] ...

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REGRESI LINIER FUZZY PADA DATA TIME SERIES

REGRESI LINIER FUZZY PADA DATA TIME SERIES

... Analisis time series sering digunakan dalam melakukan peramalan terhadap data-data historis, sebagai contoh dalam mengamati kecepatan angin, tekanan darah dalam tubuh dan transaksi bursa saham baik domestik ...

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PERBANDINGAN METODE FUZZY TIME SERIES HS

PERBANDINGAN METODE FUZZY TIME SERIES HS

... Ti ngkat kesalahan fuzzy t ime ser ies Hsu sebesar 0,6 %, sedangkan tingkat kesal ahan metode holt double exponenti al smoot hi ng adal ah 2,25 %. Ber dasar kan hasil per hi tungan di at as dapat di tar i k kesi mpulan ...

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Prediksi Time Series untuk Neraca Pembay

Prediksi Time Series untuk Neraca Pembay

... Single Variable Input berupa data balance selama sepuluh tahun terakhir, sehingga input terdiri dari sepuluh neuron, lapisan tersembunyi sebanyak satu dengan 21 neuron, dan output sat[r] ...

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