PERPUSTAKAAN BIG

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1 2 Berikutnya Hal. Akhir
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The role of artificial intelligence and IoT in prediction of earthquakes: Review
Joshua PwavodiAbdullahi Umar IbrahimPwadubashiyi Coston PwavodiFadi AlTurjmanAli MohandSaid

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…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
19 hlm PDF, 5.965 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
Research on the prediction method for fluvial-phase sandbody connectivity bas…
Cai LiFei MaYuxiu WangDelong Zhang

The connectivity of sandbodies is a key constraint to the exploration effectiveness of Bohai A Oilfield. Conventional connectivity studies often use methods such as seismic attribute fusion, while …

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 6.809 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Enhanced permeability prediction in porous media using particle swarm optimiz…
Zhiping ChenJia ZhangDaren ZhangXiaolin ChangWei Zhou

Accurately and efficiently predicting the permeability of porous media is essential for addressing a wide range of hydrogeological issues. However, the complexity of porous media often limits the e…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
12 hlm PDF, 9.874 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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cover
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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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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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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cover
Geostatistical semi-supervised learning for spatial prediction
Francky FouedjioHassan Talebi

Geoscientists are increasingly tasked with spatially predicting a target variable in the presence of auxiliary information using supervised machine learning algorithms. Typically, the target variab…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
17 hlm PDF, 10.115 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Random forest for spatial prediction of censored response variables
Francky Fouedjio

The spatial prediction of a continuous response variable when spatially exhaustive predictor variables are available within the region under study has become ubiquitous in many geoscience fields. T…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
13 hlm PDF, 5.490 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Data-driven approaches for time series prediction of daily production in the …
Qi ZhangZiwei ChenYuan ZengHang GaoQiansheng WeiTiaoyu LuoZhiguo Wang

The Sulige tight gas field is presently the largest gas field in China. Owing to the ultralow permeability and strong heterogeneity of the reservoirs in Sulige, the number of production wells has e…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
6 hlm PDF, 1.029 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Classification random forest with exact conditioning for spatial prediction o…
Francky Fouedjio

Machine learning methods are increasingly used for spatially predicting a categorical target variable when spatially exhaustive predictor variables are available within the study region. Even thoug…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
14 hlm PDF, 7.744 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
1 2 Berikutnya Hal. Akhir

Hasil Pencarian

Ditemukan 19 dari pencarian Anda melalui kata kunci: Subjek : "Prediction"
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Saran
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Beyond the border Indonesia and Papua New Guinea , South East Asia and the South pacific
Lintang Suharto - Edward P. Wolfers
image
Ocean Atlas of Korean East Sea
National Oceanographic Research Institute - Bappeda Provinsi Gorontalo
image
Neraca sumberdaya terumbu karang Nasional
Yatin Suwarno - Diofantos G. Hadjimitsis
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The geomorphology of the great baries reef: development, diversity and change
David Hopley
image
Kajian kesiapsiagaan masyarakat dalam mengantisipasi bencana gempa bumi dan tsunami di Indonesia
Deny Hidayati
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