PERPUSTAKAAN BIG

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Hal. Awal Sebelumnya 6 7 8 9 10 Berikutnya Hal. Akhir
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Toward earthquake early warning: A convolutional neural network for rapid ear…
Fanchun MengTao RenZhenxian LiuZhida Zhong

Earthquake early warning (EEW) is one of the important tools to reduce the hazard of earthquakes. In contemporary seismology, EEW is typically transformed into a fast classification of earthquake m…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 5.714 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Seismic swarm intelligence inversion with sparse probability distribution of …
Zhiguo WangBing ZhangZhaoqi GaoJinghuai Gao

Seismic inversion, such as velocity and impedance, is an ill-posed problem. To solve this problem, swarm intelligence (SI) algorithms have been increasingly applied as the global optimization appro…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 5.630 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
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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Optimization of shale gas fracturing parameters based on artificial intellige…
Shihao QianZhenzhen DongQianqian ShiWei GuoXiaowei ZhangZhaoxia LiuLingjun WangLei WuTianyang ZhangWeirong Li

Resource-rich shale gas plays a pivotal role in new energy types. The key to scientifically and efficiently developing shale gas fields is to clarify the main factors that affect the production of …

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
16 hlm PDF, 13.443 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Models of plate tectonics with the Lattice Boltzmann Method
Peter MoraGabriele MorraDavid A. Yuen

Modern geodynamics is based on the study of a large set of models, with the variation of many parameters, whose analysis in the future will require Machine Learning to be analyzed. We introduce her…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
12 hlm PDF, 4.798 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Machine learning elucidates the anatomy of buried carbonate reef from seismic…
Priyadarshi Chinmoy KumarKalachand Sain

A carbonate build-up or reef is a thick carbonate deposit consisting of mainly skeletal remains of organisms that can be large enough to develop a favourable topography. Delineation of such geologi…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 9.753 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
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Improving patch-based simulation using Generative Adversial Networks
Xiaojin TanEldad Haber

Multiple-Point Simulation (MPS) is a geostatistical simulation technique commonly used to model complex geological patterns and subsurface heterogeneity. There have been a great variety of implemen…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 2.531 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
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
Ketersediaan1
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Tampilkan DetailSitasi
cover
Estimation of dusk time F-region electron density vertical profiles using LST…
Lucas Alves SallesPaulo Renato Pereira SilvaGuilherme Schwinn FagundesJonas SousasantosAlison Moraes

The vertical profile of the ionosphere density plays a significant role in the development of low-latitude Equatorial Plasma Bubbles (EPBs), that in turn lead to ionospheric scintillation which can…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
11 hlm PDF, 9.300 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
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
Ketersediaan1
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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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Tampilkan DetailSitasi
cover
Developing soft-computing regression model for predicting bearing capacity of…
Kongtawan SangjindaRungkhun BanyongSaif AlzabeebeeSuraparb Keawsawasvong

In this investigation, the bearing capacity solution of a strip footing in anisotropic clay under inclined and eccentric load is analyzed using the numerical simulation model. The lower and upper b…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 7.438 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Determination of future land use changes using remote sensing imagery and art…
Cristina E. DumdumayaJonathan Salar Cabrera

Land use and land cover (LULC) changes refer to alterations in land use or physical characteristics. These changes can be caused by human activities, such as urbanization, agriculture, and resource…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 6.696 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Deriving big geochemical data from high-resolution remote sensing data via ma…
Steven E. ZhangGlen T. NwailaJulie E. BourdeauYousef GhorbaniEmmanuel John M. Carranza

Remote sensing data is a cheap form of surficial geoscientific data, and in terms of veracity, velocity and volume, can sometimes be considered big data. Its spatial and spectral resolution continu…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
13 hlm PDF, 10.726 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
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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Tampilkan DetailSitasi
cover
Big geochemical data through remote sensing for dynamic mineral resource moni…
Steven E. ZhangGlen T. NwailaJulie E. BourdeauYousef GhorbaniEmmanuel John M. CarranzaShenelle Agard

Evolution in geoscientific data provides the mineral industry with new opportunities. A direction of geochemical data generation evolution is towards big data to meet the demands of data-driven usa…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
13 hlm PDF, 13.437 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
Tambahkan ke dalam keranjang
Tampilkan DetailSitasi
cover
Automated stratigraphic correlation of well logs using Attention Based Dense …
Yang YangJinghuai GaoNaihao LiuJingyu WangZhuo LiRongchang LiuTao Wei

The stratigraphic correlation of well logs plays an essential role in characterizing subsurface reservoirs. However, it suffers from a small amount of training data and expensive computing time. In…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 4.161 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
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
Synthetic shear sonic log generation utilizing hybrid machine learning techni…
Jongkook Kim

Compressional and shear sonic logs (DTC and DTS, respectively) are one of the effective means for determining petrophysical/geomechanical properties. However, the DTS log has limited availability m…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
18 hlm PDF, 19.380 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
ResGraphNet: GraphSAGE with embedded residual module for prediction of global…
Ziwei ChenZhiguo WangYang YangJinghuai Gao

Data-driven prediction of time series is significant in many scientific research fields such as global climate change and weather forecast. For global monthly mean temperature series, considering t…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 2.716 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Hal. Awal Sebelumnya 6 7 8 9 10 Berikutnya Hal. Akhir

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