Application of information technology to education in the age of the fourth industrial revolution
A Dudhat - International Transactions on Education …, 2023 - journal.pandawan.id
The purpose of this study is to clarify the readiness and challenges of learning information
technology, and the challenges of education in this fourth era in applying information …
technology, and the challenges of education in this fourth era in applying information …
Multi-mission satellite detection and tracking of October 2019 Sabiti oil spill in the Red sea
A multi-mission satellite remote sensing (MSRS) approach is explored to detect and track
leaked oil from the Sabiti oil tanker accident that occurred in the central Red Sea on 11 …
leaked oil from the Sabiti oil tanker accident that occurred in the central Red Sea on 11 …
In-Depth Monitoring of Anthropic Activities in the Puglia Region: What Is the Acceptable Compromise between Economic Activities and Environmental Protection?
In many countries in the world, the conservation of habitats is at risk mainly due to anthropic
pressures on the environment. A study was conducted to assess the extent to which …
pressures on the environment. A study was conducted to assess the extent to which …
Detection of Macroalgal Bloom from Sentinel− 1 Imagery
SJK Chowdhury, A Harun-Al-Rashid, CS Yang… - Remote Sensing, 2023 - mdpi.com
The macroalgal bloom (MAB) is caused by brown algae forming a floating mat. Most of its
parts stay below the water surface, unlike green algae; thus, its backscatter value becomes …
parts stay below the water surface, unlike green algae; thus, its backscatter value becomes …
Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction
Urban flooding is escalating worldwide due to the increasing impervious surfaces from
urban developments and frequency of extreme rainfall events by climate change. Traditional …
urban developments and frequency of extreme rainfall events by climate change. Traditional …
Ensembles of multiple models for soil moisture retrieval from remote sensing data over agricultural areas: A deep learning-based framework
In agricultural areas, most surface soil moisture (SM) retrieval models are unstable in terms
of their accuracy and performance during crop growth. As a result, there is no consensus on …
of their accuracy and performance during crop growth. As a result, there is no consensus on …
Retrieving Surface and Rootzone Soil Moisture Using Microwave Remote Sensing
SK Thaggahalli Nagaraju, AA Pathak - Journal of the Indian Society of …, 2024 - Springer
Soil moisture is one of the least monitored of all the hydrologic variables. It is greatly
influenced by unpredictable and intermittent precipitation, varying evapotranspiration rates …
influenced by unpredictable and intermittent precipitation, varying evapotranspiration rates …
A deep learning framework to map riverbed sand mining budgets in large tropical deltas
Rapid urbanization has dramatically increased the demand for river sand, leading to soaring
sand extraction rates that often exceed natural replenishment in many rivers globally …
sand extraction rates that often exceed natural replenishment in many rivers globally …
Flood Detection Using Variational Autoencoder in SAR Images
S Wangiyana - 2023 Signal Processing Symposium (SPSympo …, 2023 - ieeexplore.ieee.org
Monitoring large areas to detect unexpected changes is beneficial in disaster response
preparations, particularly when using a persistent information source such as Synthetic …
preparations, particularly when using a persistent information source such as Synthetic …
Exploitation des algorithmes d'apprentissage profond et des séries temporelles d'images satellitaires pour la prédiction de la déforestation
WR Moskolai - 2022 - theses.hal.science
Ces dernières années, nous assistons à une émergence des méthodes d'apprentissage
profond appelées Deep Learning en anglais (DL), qui ont favorisé d'énormes progrès dans …
profond appelées Deep Learning en anglais (DL), qui ont favorisé d'énormes progrès dans …