Frontiers

A new framework with convoluted oscillatory neural network for efficient object-based land use and land cover classification on remote sensing images

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
InfoWorld

The best new features and fixes in Python 3.14

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...
Scientific Research Publishing

You, H., Tang, X., Deng, W., Song, H., Wang, Y. and Chen, J. (2022) A Study on the Difference of LULC Classification Results Based on Landsat 8 and Landsat 9 Data ...

ABSTRACT: This research aims to explore changes in Land Use and Land Cover (LULC) and how LULC have an influence on the Land Surface Temperature (LST) in Rupandehi district. Multiple Landsat imagery ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Scientific Research Publishing

Tassi, A. and Vizzari, M. (2020) Object-oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms.

ABSTRACT: Rapid urbanization and industrial growth reshaped the landscape, making the environment and human life increasingly vulnerable. This study undergoes future land use prediction, which is ...
Frontiers

Remote sensing-based assessment of four decades of land use/land cover change in the Sigi River Watershed, East Usambara Mountains, Tanzania

1 Institute of Soil Science and Site Ecology, Faculty of Environmental Sciences, Technische Universität Dresden, Dresden, Germany 2 Institute for Integrated Management of Material Fluxes and of ...
GitHub

lulc-classification

This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of ...