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 …
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 …
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 …
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 …
development of strategies for land planning and management. Satellite remotely sensed …
Deep learning model for daily rainfall prediction: case study of Jimma, Ethiopia
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 …
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
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 …
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
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 …
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
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; …
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
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) …
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
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 …
ecological systems. The Guangdong, Hong Kong, and Macau (GHKM) region located in …