Scientific Research Publishing

Faridatul, M.I. and Wu, B. (2018) Automatic Classification of Major Urban Land Covers Based on Novel Spectral Indices. ISPRS International Journal of Geo-Information, 7 ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...
Hosted on MSN

Python neural network for multiclass classification using 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 ...
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!
IEEE

Evaluating Models for Urban LULC Classification by Integrating Earth Engine and Python Ecosystem

Abstract: Urban climate change studies necessitate long-term monitoring to manage urban environments. The Bangkok Metropolitan Region (BMR) faces challenges like increased urban heat island effects, ...
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 ...