IEEE

Cellular Network Traffic Prediction Using Machine Learning and Gate Recurrent Unit Algorithm

Abstract: This study discusses the development and evaluation of a cellular network traffic forecasting system utilizing statistical, machine learning, and deep learning methodologies. The system has ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

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 limited ...
IEEE

Developing a Robust Rental Price Prediction System: Insights from Linear Regression, Decision Trees, and Random Forest

Abstract: Estimation of the rent rate is an important task in the entire real estate industry and can have a heavy consequence for landlords and future tenants. This paper presents a predictive ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...