Pengelolaan forum ilmiah diklat: modul diklat kewidyaiswaraan berjenjang ting…

Mata Diklat ini meliputi konsepsi pengelolaan forum ilmiah diklat, tahapan dan proses pengelolaan forum ilmiah diklat.

Ekologi umum

Edisi

-

ISBN/ISSN

979-420-149-9

Deskripsi Fisik

xii, 1131 hlm. illus.

Judul Seri

-

No. Panggil

574.509 MCN e

Pengenalan umum analisis statistika dengan SAS, seri 1 peningkatan dan penyaj…

Sebagai salah satu aplikasi pengolah data terpopuler di dunia, SAS mampu menyelesaikan setiap permasalahan analisis denganmudahdan interaktif. Itulah sebabnya IPB, khususnya DepartemenStatistika me…

Perangkat keras komputer dan tools pendukungnya

Edisi

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ISBN/ISSN

978-602-8759-06-9

Deskripsi Fisik

xvi, 190 hlm. : illus.

Judul Seri

-

No. Panggil

004 Sut P

Geomorfologi dasar bagian 1

Geomorfologi merupakan ilmu yang mempelajari bentuk lahan dan proses pembentukannya. Geomorfologi saat ini telah berkembang menjadi kajian keilmuan yang berperang dalam survei dan pemetaan potensi …

Konsep dasar analisis spasial

Buku ini bisa dipakai sebagai panduan dalam pelatihan SIG dan remote sensing serta dapat dipakai oleh mahasiswa, dosendan semua[ihak yang ingin memperdalam pengetahuan mengenai Analisis Spasial. ka…

Community approach to disaster

Edisi

-

ISBN/ISSN

979-420-787-x

Deskripsi Fisik

xiii, 195 hlm. : illus.

Judul Seri

-

No. Panggil

363.3495 Jat C

Land administration for sustainable development

Land administration for sustainable development forms a solid basis for building the capacity of geverments and people around the world to use modern technologies productively and sustainably, this…

Bandung citra sebuah kota =Bandung, beeld van een stad

Pada 1996 Asia Maior menerbitkan buku Bandoeng, Beeld van een stadt tulisan R.G.P.A Voskuil yang isinya sangat lengkap dan perinci. Buku tersebut sekarang menjadi koleksi di Belanda. Penerjemahan …

Contribution of multispectral (optical and radar) satellite images to the cla…

The monitoring of different crops (cultivated plots) and types of surface (bare soils, etc.) is a crucial economic and environmental issue for the management of resources and human activity. In thi…

Assessing the ecological vulnerability of forest landscape to agricultural fr…

Forest conservation in human-dominated tropical landscapes ensures provision of major ecosystem services. However, conservation goals are threatened by growing demands for agricultural products. As…

Accuracy assessment of NLCD 2011 percent impervious cover for selected USA me…

The emergence of high-resolution land cover data has created the opportunity to assess the accuracy of impervious cover (IC) provided by the National Land Cover Database (NLCD). We assessed the acc…

A method for vertical adjustment of digital aerial photogrammetry data by usi…

The accuracy of vertical position information can be degraded by various sources of error in digital aerial photogrammetry (DAP) based point clouds. To address this issue, we propose a relatively s…

Wide & deep learning for predicting relative mineral compositions of sediment…

This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake cores using high-resolution XRF core scan elemental data and X…

When linear inversion fails: Neural-network optimization for sparse-ray trave…

In this study, we present an artificial neural network (ANN)-based approach for travel-time tomography of a volcanic edifice under sparse-ray coverage. We employ ray tracing to simulate the propaga…

Water resource forecasting with machine learning and deep learning: A sciento…

Water prediction plays a crucial role in modern-day water resource management, encompassing both hydrological patterns and demand forecasts. To gain insights into its current focus, status, and eme…

Transfer learning for well logging formation evaluation using similarity weights

Machine learning has been widely applied in well logging formation evaluation studies. However, several challenges negatively impacted the generalization capabilities of machine learning models in …

The role of artificial intelligence and IoT in prediction of earthquakes: Review

Earthquakes are classified as one of the most devastating natural disasters that can have catastrophic effects on the environment, lives, and properties. There has been an increasing interest in th…

The 3-billion fossil question: How to automate classification of microfossils

Microfossil classification is an important discipline in subsurface exploration, for both oil & gas and Carbon Capture and Storage (CCS). The abundance and distribution of species found in sediment…

Robust high frequency seismic bandwidth extension with a deep neural network …

Geophysicists interpreting seismic reflection data aim for the highest resolution possible as this facilitates the interpretation and discrimination of subtle geological features. Various determini…