PERPUSTAKAAN BIG

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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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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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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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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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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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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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cover
Exact Conditioning of Regression Random Forest for Spatial Prediction
Francky Fouedjio

Regression random forest is becoming a widely-used machine learning technique for spatial prediction that shows competitive prediction performance in various geoscience fields. Like other popular m…

Edisi
Vol.1, December 2020
ISBN/ISSN
2666-5441
Deskripsi Fisik
13 hlm PDF, 6.201 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Developing ground motion prediction models for West Java: A machine learning …
Andy RachmadanArdiansyah KoeshidayatullahSanLinn I. Kaka

Indonesia, one of the most earthquake-prone countries in the world, is currently developing an Earthquake Early Warning (EEW) system. A key component of this system, the Regional EEW, relies on Gro…

Edisi
Vol.25, February 2025
ISBN/ISSN
2590-1974
Deskripsi Fisik
14 hlm PDF, 10,819 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Current progress in subseasonal-to-decadal prediction based on machine learning
Zixiong ShenQiming SunXinyu LuFenghua LingYue LiJiye WuJingJia LuoChaoxia Yuan

The application of machine learning (ML) techniques to climate science has received significant attention, particularly in the field of climate predictions, ranging from sub-seasonal to decadal tim…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
12 hlm PDF, 5.666 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Long-term temperature prediction with hybrid autoencoder algorithms
J. PérezAracilD. FisterC.M. MarinaC. PeláezRodríguezL. CornejoBuenoP.A. GutiérrezA. CastelletiS. SalcedoSanz

This paper proposes two hybrid approaches based on Autoencoders (AEs) for long-term temperature prediction. The first algorithm comprises an AE trained to learn temperature patterns, which is then …

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 1.864 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Machine learning technique in the north zagros earthquake prediction
Salma OmmiMohammad Hashemi

Studying the changes in seismicity, and the potential of the occurrences of large earthquakes in a seismic zone is not only extremely important from the aspect of seismological research, but it is …

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 2.915 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
GeoCoDA: Recognizing and validating structural processes in geochemical data.…
Michael GreenacreEric GrunskyBruce Kjarsgaard

Geochemical data are compositional in nature and are subject to the problems typically associated with data that are restricted to the real non-negative number space with constant-sum constraint, t…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
15 hlm PDF, 1.985 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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Tampilkan DetailSitasi
cover
AnnRG - An artificial neural network solute geothermometer
Lars H. YstroemMark VollmerThomas KohlFabian Nitschke

Solute artificial neural network geothermometers offer the possibility to overcome the complexity given by the solute-mineral composition. Herein, we present a new concept, trained from high-qualit…

Edisi
Vol.20, December 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 4.961 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Rock type classification based on petrophysical, geochemical, and core imagin…
Negin HoushmandSebastian GoodFellowKamran EsmaeiliJuan Carlos Ordonez Calderon

Rock type classification is one of the most crucial steps of geological and geotechnical core logging. In conventional core logging, rock type classification is subjective and time-consuming. This …

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 10.764 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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Tampilkan DetailSitasi
cover
Step towards inter-operable Unmanned Aerial Vehicles (UAV) based phenotyping…
Gattu PriyankaSunita ChoudharyKrithika AnbazhaganDharavath NareshRekha BaddamJan JarolimekYogesh ParnandiP. RajalakshmiJana Kholova

The Unmanned aerial vehicles (UAVs) - based imaging is being intensively explored for precise crop evaluation. Various optical sensors, such as RGB, multi-spectral, and hyper-spectral cameras, can …

Edisi
Vol.9, August 2023
ISBN/ISSN
1872-8235
Deskripsi Fisik
13 hlm PDF, 4.831 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
Ketersediaan1
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Hasil Pencarian

Ditemukan 19 dari pencarian Anda melalui kata kunci: Subjek : "Prediction"
Permintaan membutuhkan 0.00197 detik untuk selesai
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Saran
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Statistics for engineers and scientists
William Navidi
image
CISCO CCNP dan jaringan komputer (materi route, switch and toubleshing
Iwan Sofana - Cooper
image
Zakat pembersih harta dan jiwa
Zakiah Daradjat
image
Developments in four dimensional geodesy
Fritz K. Bonner
image
Photogeology
Victor C. Miller - Punmia
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