Projects per year
Personal profile
Research interests
Reservoir Characterization And Monitoring, Shale Gas Reservoirs, Near,Surface Geophysics, Seismic Hazard, Ground,Motions Relations
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Sanlinn Kaka is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 5 Finished
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Application of Advanced Signal Processing techniques to Enhance the Signal to Noise Ration and Localization of Micro Seismic Events (Part -1)
Al-Shuhail, A. (PI) & Kaka, S. (CoI)
1/01/10 → 31/12/10
Project: Research
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Application of Advanced Signal Processing techniques to Enhance the Signal to Noise Ration and Localization of Micro Seismic Events (Part -2)
Al-Shuhail, A. (PI) & Kaka, S. (CoI)
1/01/10 → 31/12/10
Project: Research
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Reservoir Characterization by Active and Passive Seismic Integration(Part - II)
Vesnaver, A. (PI), Al-Shuhail, A. (CoI), Kaka, S. (CoI), Menanno, G. (CoI) & Vignoli, G. (CoI)
1/01/10 → 31/12/10
Project: Research
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Reservoir Characterization by Active and Passive Seismic Integration
Vesnaver, A. (PI), Al-Shuhail, A. (CoI), Kaka, S. (CoI), Menanno, G. (CoI) & Vignoli, G. (CoI)
1/01/01 → 1/01/01
Project: Research
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Developing ground motion prediction models for West Java: A machine learning approach to support Indonesia's earthquake early warning system
Rachmadan, A., Koeshidayatullah, A. & Kaka, S. L. I., Feb 2025, In: Applied Computing and Geosciences. 25, 100212.Research output: Contribution to journal › Article › peer-review
Open Access -
Acoustic impedance prediction based on extended seismic attributes using multilayer perceptron, random forest, and extra tree regressor algorithms
Surachman, L. M., Abdulraheem, A., Al-Shuhail, A. & Kaka, S. I., 2024, (Accepted/In press) In: Journal of Petroleum Exploration and Production Technology.Research output: Contribution to journal › Article › peer-review
Open Access -
Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
Al-Fakih, A., Abdulraheem, A. & Kaka, S., Sep 2024, In: Deep Underground Science and Engineering. 3, 3, p. 286-301 16 p.Research output: Contribution to journal › Review article › peer-review
Open Access1 Scopus citations -
ASSESSMENT OF DIFFUSIVE RECHARGE AT REGIONAL SCALE IN KARST SYSTEMS, AMAZON BASIN, ECUADOR
González, K. M., Flores, Y. G., Camacho, C. O., Toulkeridis, T., Kaka, S. I. & Szűcs, P., 5 Nov 2024, In: Acta Carsologica. 53, 1, p. 21-35 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhanced First-Break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks
Ayub, M. & Kaka, S. I., 2024, In: IEEE Transactions on Geoscience and Remote Sensing. 62, p. 1-16 16 p., 4700116.Research output: Contribution to journal › Article › peer-review
2 Scopus citations