Image Classification Using Machine Learning Algorithms in Google Earth Engine Environment [PDF]
Informatică economică, 2021 In this paper it is proposed to classify an image using a Machine Learning approach inside the Google Earth Engine platform and Jupyter Notebook: feeding the computer with training data (in our case being points/pixels having a label which represent the ...
Paul TEODORESCU, Simona-Nicoleta VOICU
doaj +1 more source
PBTK Optimizer: An Open Source Application for PBTK Model Parameter Optimization in Python
Journal of Open Research Software, 2021 Physiologically based toxicokinetic (PBTK) modeling in fish offers great promise in environmental risk assessment, potentially speeding up dose-response studies while minimizing animal testing.
Ian Edhlund, Matthew Macauley, Cindy Lee
doaj +1 more source
Estimate half-life of thermoluminescence signals according to the different models by using Python
Journal of Taibah University for Science, 2021 In this study, the half-life is the time required for the thermoluminescence intensity to drop to half of its initial value. The half-life is a characteristic of the optical and thermal properties of the material.
Nguyen Duy Sang
doaj +1 more source
Prediction of Heart Disease using Biomedical Data through Machine Learning Techniques [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2021 INTRODUCTION: Random Forests are an important model in machine learning. They are simple and very effective classification approach. The random forest identifies the most important features of a given problem.
Nagaraj Lutimath +2 more
doaj +1 more source
A comparative study on LinkedIn and Sina Weibo users’ perceptions of the carbon-neutral city
Frontiers in Environmental Science, 2022 A carbon-neutral city is one of the most critical topics in carbon neutrality. To study the general public and professionals’ focus, we analysed the posts on Weibo and LinkedIn through Pycharm, Navicat Premium, KHCoder, and Tableau.
Liyun Zeng +4 more
doaj +1 more source
The Space Physics Environment Data Analysis System in Python
Frontiers in Astronomy and Space Sciences, 2022 In this article, we describe the free, open-source Python-based Space Physics Environment Data Analysis System (PySPEDAS), a platform for multi-mission, multi-instrument retrieval, analysis, and visualization of Heliophysics data.
Eric W. Grimes +15 more
doaj +1 more source
Superposed epoch analysis using time-normalization: A Python tool for statistical event analysis
Frontiers in Astronomy and Space Sciences, 2022 A superposed epoch analysis (SEA) is a simple, yet powerful statistical analysis technique, used to identify patterns in the temporal evolution of observed quantities relative to defined epochs.
Samuel D. Walton +2 more
doaj +1 more source
Applying Deep Learning in Medical Images: The Case of Bone Age Estimation [PDF]
Healthcare Informatics Research, 2018 ObjectivesA diagnostic need often arises to estimate bone age from X-ray images of the hand of a subject during the growth period. Together with measured physical height, such information may be used as indicators for the height growth prognosis of the ...
Jang Hyung Lee, Kwang Gi Kim
doaj +1 more source
The SpacePy space science package at 12 years
Frontiers in Astronomy and Space Sciences, 2022 For over a decade, the SpacePy project has contributed open-source solutions for the production and analysis of heliophysics data and simulation results.
Jonathan T. Niehof +4 more
doaj +1 more source
ONLINE STATISTICS SYSTEM FOR PARTICIPANTS IN THE DISCORD MESSENGER USING PYTHON AND POSTGRESQL
International Journal of Advanced Studies, 2022 The relevance of the topic under consideration is since in one of the Discord channel communities there was a need to collect the activity of channel members for a certain time and duration.
Roman R. Krapivin +3 more
doaj +1 more source