PERPUSTAKAAN BIG

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1 2 3 Berikutnya Hal. Akhir
cover
When linear inversion fails: Neural-network optimization for sparse-ray trave…
Johannes FaberGeorg RümpkerNishtha SrivastavaAbolfazl KomeaziFabian Limberger

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…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
12 hlm PDF, 11.246 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Water resource forecasting with machine learning and deep learning: A sciento…
Chanjuan LiuJing XuXi’an LiZhongyao YuJinran Wud

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…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
12 hlm PDF, 4.935 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
The 3-billion fossil question: How to automate classification of microfossils
Iver MartinsenDavid WadeBenjamin RicaudFred Godtliebsen

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…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 3.014 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
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cover
Pore size classification and prediction based on distribution of reservoir fl…
Hassan BagheriReza MohebianAli MoradzadehBehnia Azizzadeh ehmandost Olya

Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate relationship with confined fluids. Traditional methods for predicting pore size distribution (PSD), relyin…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
23 hlm PDF, 24.240 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
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cover
Fully invertible hyperbolic neural networks for segmenting large-scale surfac…
Eldad HaberBas PetersKeegan Lensink

The large spatial/temporal/frequency scale of geoscience and remote-sensing datasets causes memory issues when using convolutional neural networks for (sub-) surface data segmentation. Recently dev…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
13 hlm PDF, 3.537 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Research on microseismic denoising method based on CBDNet
Jianchao LinJing ZhengDewei LiZhixiang Wu

Noise suppression is an important part of microseismic monitoring technology. Signal and noise can be separated by denoising and filtering to improve the subsequent analysis. In this paper, we prop…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
11 hlm PDF, 4.803 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Improved frost forecast using machine learning methods
Jose Roberto RozanteEnver RamirezDiego RamirezGabriela Rozante

Frosts are one of the atmospheric phenomena with one of the larger negative effects on the agricultural sector in the southern region of Brazil, therefore, an earlier forecast can minimize their im…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
18 hlm PDF, 19.643 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
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cover
Estimating relative diffusion from 3D micro-CT images using CNNs
Stephan GärttnerFlorian FrankFabian WollerAndreas MeierNadja Ray

In recent years, convolutional neural networks (CNNs) have demonstrated their effectiveness in predicting bulk parameters, such as effective diffusion, directly from pore-space geometries. CNNs off…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
10 hlm PDF, 2.839 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
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Enhanced crustal and intermediate seismicity in the Hindu Kush-Pamir region r…
Satyam Pratap SinghVipul Silwal

The Hindu Kush-Pamir region (HKPR) is characterized by complex ongoing deformation, unique slab geometry, and intermediate seismic activity. The availability of extensive seismological data in rece…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
14 hlm PDF, 15.177 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Blockly earthquake transformer: A deep learning platform for custom phase pic…
Hao MaiPascal AudetH.K. Claire PerryS. Mostafa MousaviQuan Zhang

Deep-learning (DL) algorithms are increasingly used for routine seismic data processing tasks, including seismic event detection and phase arrival picking. Despite many examples of the remarkable p…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
11 hlm PDF, 3.595 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
2D magnetotelluric inversion based on ResNet
LiAn XieBo HanXiangyun HuNingbo Bai

In this study, a deep learning algorithm was applied to two-dimensional magnetotelluric (MT) data inversion. Compared with the traditional linear iterative inversion methods, the MT inversion metho…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 4.620 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Irregularly sampled seismic data interpolation via wavelet-based convolutiona…
Zhiguo WangNaihao LiuYihuai LouLukun WuLin LiuKai YuWei Wang

Seismic data interpolation, especially irregularly sampled data interpolation, is a critical task for seismic processing and subsequent interpretation. Recently, with the development of machine lea…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
11 hlm PDF, 5.141 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Attenuation of seismic migration smile artifacts with deep learning
Jewoo YooPaul Zwartjes

Attenuation of migration artifacts on Kirchhoff migrated seismic data can be challenging due to the relatively low amplitude of migration artifacts compared to reflections as well as the overlap in…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 12.044 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
A study on small magnitude seismic phase identification using 1D deep residua…
Wei LiMegha ChakrabortyYu ShaKai ZhouJohannes FaberGeorg RümpkerHorst StöckerNishtha Srivastava

Reliable seismic phase identification is often challenging especially in the circumstances of low-magnitude events or poor signal-to-noise ratio. With improved seismometers and better global covera…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 2.201 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
A convolutional recurrent neural network for strong convective rainfall nowca…
Angelica N. CaseriLeonardo Bacelar Lima SantosStephan Stephany

Strong convective systems and the associated heavy rainfall events can trig-ger floods and landslides with severe detrimental consequences. These events have a high spatio-temporal variability, bei…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
6 hlm PDF, 1.368 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Wavefield solutions from machine learned functions constrained by the Helmhol…
Tariq AlkhalifahChao SongUmair bin WaheedQi Hao

Solving the wave equation is one of the most (if not the most) fundamental problems we face as we try to illuminate the Earth using recorded seismic data. The Helmholtz equation provides wavefield …

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 3.131 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Capsule network-based approach for estimating grassland coverage using time s…
Yaqi SunHailong LiuZhengqiang Guo

The degradation and desertification of grasslands pose a daunting challenge to China's arid and semiarid areas owing to the increasing demand for them in light of the rise of animal husbandry. Moni…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 3,657 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Seismic labeled data expansion using variational autoencoders
Kunhong LiSong ChenGuangmin Hu

Supervised machine learning algorithms have been widely used in seismic exploration processing, but the lack of labeled examples complicates its application. Therefore, we propose a seismic labeled…

Edisi
Vol.1, December 2020
ISBN/ISSN
2666-5441
Deskripsi Fisik
7 hlm PDF, 3.230 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Automatic fault instance segmentation based on mask propagation neural networ…
Ruoshui ZhouYufei CaiJingjing ZongXingmiao YaoFucai YuGuangmin Hu

Fault interpretation plays a critical role in understanding the crustal development and exploring the subsurface reservoirs such as gas and oil. Recently, significant advances have been made toward…

Edisi
Vol.1, December 2020
ISBN/ISSN
2666-5441
Deskripsi Fisik
5 hlm PDF, 1.456 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
X-ray Micro-CT based characterization of rock cuttings with deep learning
Nils OlsenYifeng ChenPascal TurbergAlexandre MoreauAlexandre Alahi

Rock cuttings from destructive boreholes are a common and cheaper source of drilling materials that can be used to determine underground geology compared to rock core samples. Classifying manually …

Edisi
Vol.25, February 2025
ISBN/ISSN
2590-1974
Deskripsi Fisik
12 hlm PDF, 6.037 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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Ditemukan 60 dari pencarian Anda melalui kata kunci: Subjek : "Deep learning"
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Saran
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Himpunan Peraturan Perundang-Undangan Republik Indonesia Tahun 2008 (Buku V)
Sekretariat Negara
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Numerical analysis I
Amer - Sarkosih
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Laporan survei satuan lahan lembar Amuntai dan Banjarmasin skala 1:250.000
Soetarto - Adi Rusmanto...dkk
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Deskripsi geografi dan kajian wilayah pesisir: Kabupaten Alor Nusa Tenggara Timur
Hari Suryanto
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Managerial economics
William F. Samuelson - Stephen G. Marks
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Perpustakaan Badan Informasi Geospasial (BIG) adalah sebuah perpustakaan yang berada di bawah Badan Informasi Geospasial Indonesia. Perpustakaan ini memiliki koleksi yang berkaitan dengan informasi geospasial, termasuk peta, data geospasial, dan literatur terkait. Selengkapnya

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