Big geochemical data through remote sensing for dynamic mineral resource moni…

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 usage scenarios that rely on data velocity. This direction is more significant where traditional geochemical data are not ideal, which is the case for evaluating unconventional resources, such as tailing…

Artificial intelligence-based anomaly detection of the Assen iron deposit in …

Most known mineral deposits were discovered by accident using expensive, time-consuming, and knowledge-based methods such as stream sediment geochemical data, diamond drilling, reconnaissance geochemical and geophysical surveys, and/or remote sensing. Recent years have seen a decrease in the number of newly discovered mineral deposits and a rise in demand for critical raw materials, prompting e…

Do more with less: Exploring semi-supervised learning for geological image cl…

Labelled datasets within geoscience can often be small, with data acquisition both costly and challenging, and their interpretation and downstream use in machine learning difficult due to data scarcity. Deep learning algorithms require large datasets to learn a robust relationship between the data and its label and avoid overfitting. To overcome the paucity of data, transfer learning has been e…

The Poor of the earth

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ISBN/ISSN

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Deskripsi Fisik

144 hlm.

Judul Seri

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No. Panggil

362.5 Joh T

Deep learning approach for Sentinel-1 surface water mapping leveraging

Satellite remote sensing plays an important role in mapping the location and extent of surface water. A variety of approaches are available for mapping surface water, but deep learning approaches are not commonplace as they are ‘data hungry’ and require large amounts of computational resources. However, with the availability of various satellite sensors and rapid development in cloud comput…

Mapping sugarcane in Thailand using transfer learning, a lightweight convolut…

Air pollution from burning sugarcane is an important environmental issue in Thailand. Knowing the location and extent of sugarcane plantations would help in formulating effective strategies to reduce burning. High resolution satellite imagery combined with deep-learning technologies can be effective to map sugarcane with high precision. However, land cover mapping using high resolution data and…

Propenas 2000-2004: UU No. 25 Th. 2000 tentang program pembangunan nasional t…

Edisi

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ISBN/ISSN

979-8767-81-0

Deskripsi Fisik

xi, 262 hlm. illus. 23 cm.

Judul Seri

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No. Panggil

338.598 Sin P

Top one preparation of ToEIC to reach the highest score

Buku ini dikhususkan membahas materi-materi yang biasa diujikan pada TOELC. Materi yang disajikan disesuaikan dengan standard baku penyusunan soal TOELC. Oleh karena itu indicator-indikator standard penyusunan soal pada masing-masing aspek pada tes TOELC ini akan sangat diperhatikan. BUku persiapan TOELC ini disusun dengan pembahasan bahasa Indonesia yang menjabarkan secara lengkap materi, stra…

A treatise on spherical trigonometry

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ISBN/ISSN

1-60386-167-X

Deskripsi Fisik

xv, 165 hlm.

Judul Seri

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No. Panggil

516.24 JOH t

History of spaces cartographic reason, mapping and the geo-coded world

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ISBN/ISSN

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Deskripsi Fisik

233 hlm.

Judul Seri

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No. Panggil

526 Joh H