GitHub

dhis2-chap/minimalist_example

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...
IEEE

Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to Improve Performance of ANN Classifier for Extracting Built-Up Pixels from Landsat ...

Abstract: Training a neural network for pixel based classification task using low resolution Landsat images is difficult as the size of the training data is usually small due to less number of ...
Frontiers

Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis

1 College of Agronomy, Sichuan Agricultural University, Chengdu, China 2 Yibin Municipal Company of Sichuan Provincial Tobacco Corporation, Yibin, China Tobacco leaf diseases significantly affect ...
GitHub

sms-spam-classifier

Telecom Fraud Detection: SMS Spam Classifier built with Python, Scikit-learn, and Streamlit. Achieves ~98% accuracy using TF-IDF + Naive Bayes. Includes EDA, fraud trend visualization, and real-time ...
IEEE

Analysis of Online Learning Behaviors of Higher Vocational College Students : Taking Python Data Preprocessing Course as an Example

Abstract: The development of online education has brought about a massive amount of online learning behavior data. How to fully utilize and analyze these data is a research hotspot of concern in ...