Biomedical image classification in a big data architecture using machine learning algorithms

C Tchito Tchapga, TA Mih… - Journal of …, 2021 - Wiley Online Library
In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …

Mapping of mineral resources and lithological units: A review of remote sensing techniques

R Rajan Girija, S Mayappan - … Journal of Image and Data Fusion, 2019 - Taylor & Francis
The remote sensing (RS) techniques have become a guiding and promising tool for mineral
exploration and mapping of lithological units. The RS for mineral exploration begins with …

[PDF][PDF] Al-Biruni Based Optimization of Rainfall Forecasting in Ethiopia.

ESM El-Kenawy, AA Abdelhamid… - … Systems Science & …, 2023 - researchgate.net
Rainfall plays a significant role in managing the water level in the reservoir. The
unpredictable amount of rainfall due to the climate change can cause either overflow or dry …

Land Use/land cover mapping using multitemporal Sentinel-2 imagery and four classification methods—A case study from Dak Nong, Vietnam

HTT Nguyen, TM Doan, E Tomppo, RE McRoberts - Remote Sensing, 2020 - mdpi.com
Information on land use and land cover (LULC) including forest cover is important for the
development of strategies for land planning and management. Satellite remotely sensed …

Deep learning model for daily rainfall prediction: case study of Jimma, Ethiopia

D Endalie, G Haile, W Taye - Water Supply, 2022 - iwaponline.com
Rainfall prediction is a critical task because many people rely on it, particularly in the
agricultural sector. Rainfall forecasting is difficult due to the ever-changing nature of weather …

Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models

M Panahi, O Rahmati, Z Kalantari, H Darabi… - Journal of …, 2022 - Elsevier
Although the growing number of synthetic aperture radar (SAR) satellites has increased their
application in flood-extent mapping, predictive models for the analysis of flood dynamics that …

Lithological mapping using Landsat 8 OLI and Terra ASTER multispectral data in the Bas Drâa inlier, Moroccan Anti Atlas

Z Adiri, AE Harti, A Jellouli, L Maacha… - Journal of Applied …, 2016 - spiedigitallibrary.org
Lithological mapping is a fundamental step in various mineral prospecting studies because
it forms the basis of the interpretation and validation of retrieved results. Therefore, this study …

Tropical peat subsidence rates are related to decadal LULC changes: Insights from InSAR analysis

DA Umarhadi, W Widyatmanti, P Kumar… - Science of The Total …, 2022 - Elsevier
Peatlands in Indonesia are subject to subsidence in recent years, resulting in significant soil
organic carbon loss. Their degradation is responsible for several environmental issues; …

Cloud detection algorithm using SVM with SWIR2 and tasseled cap applied to Landsat 8

PP Joshi, RH Wynne, VA Thomas - International Journal of Applied Earth …, 2019 - Elsevier
Landsat satellite images are subject to cloud cover effects resulting in erroneous analysis
and observations of ground features. In this work, we present a novel algorithm (STmask) …

Monitoring of land use/land cover and socioeconomic changes in south china over the last three decades using landsat and nighttime light data

S Hasan, W Shi, X Zhu, S Abbas - Remote Sensing, 2019 - mdpi.com
Land use and land cover changes (LULCC) are prime variables that reflect changes in
ecological systems. The Guangdong, Hong Kong, and Macau (GHKM) region located in …