Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices
T James, C Schillaci, A Lipani - International Journal of Remote …, 2021 - Taylor & Francis
Near-real time water segmentation with medium resolution satellite imagery plays a critical
role in water management. Automated water segmentation of satellite imagery has …
role in water management. Automated water segmentation of satellite imagery has …
State of the art of machine learning for product sustainability
Nowadays, the feasibility and life-time for every business venture is dependent on the
generation of sustainable products and services. Almost all businesses and industries have …
generation of sustainable products and services. Almost all businesses and industries have …
[HTML][HTML] Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico
FH Villota-González, B Sulbarán-Rangel… - Remote Sensing, 2023 - mdpi.com
Remote sensing has emerged as a promising tool for monitoring water quality (WQ) in
aquatic ecosystems. This study evaluates the effectiveness of remote sensing in assessing …
aquatic ecosystems. This study evaluates the effectiveness of remote sensing in assessing …
Early prediction of a team performance in the initial assessment phases of a software project for sustainable software engineering education
M Naseer, W Zhang, W Zhu - Sustainability, 2020 - mdpi.com
Software engineering is a competitive field in education and practice. Software projects are
key elements of software engineering courses. Software projects feature a fusion of process …
key elements of software engineering courses. Software projects feature a fusion of process …
Role of machine learning in sustainable engineering: a review
V Bhatnagar, S Sharma, A Bhatnagar… - IOP Conference Series …, 2021 - iopscience.iop.org
Sustainable engineering is the method of modelling or running systems that allow efficient
use of products and resources, that is, at a scale which would not endanger the natural …
use of products and resources, that is, at a scale which would not endanger the natural …
A Machine Learning Approach For Predicting Onset And Progression"“Towards Early Detection Of Chronic Diseases “
The paper suggests utilizing data mining and machine learning approaches to diagnose
chronic diseases due to their cost-effectiveness and ability to analyse large amounts of …
chronic diseases due to their cost-effectiveness and ability to analyse large amounts of …
Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects
Software engineering is one of the most significant areas, which extensively used in
educational and industrial fields. Software engineering education plays an essential role in …
educational and industrial fields. Software engineering education plays an essential role in …
Enhancing Marine Conservation: YOLOv8-based Underwater Waste Detection System
Robust machine-learning algorithms are essential for successfully operating underwater
directions and intelligent object recognition systems in turbid water. The development of …
directions and intelligent object recognition systems in turbid water. The development of …
An efficient supervised deep learning approach for Covid chest image classification from deep residual networks
R Sawhney, LP Khan, S Sharma - 2021 4th International …, 2021 - ieeexplore.ieee.org
With the outbreak of the COVID-19 and its various mutations making the infections faster and
severe, it is becoming extremely important to determine the presence of COVID-19 infection …
severe, it is becoming extremely important to determine the presence of COVID-19 infection …