IEEE

AdaBoost-LSTM: A Hybrid Ensemble Framework for Sequential Credit Card Fraud Detection

Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...
Frontiers

Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...
Scientific Research Publishing

Huang, Q. L., Zhao, J. L., Bai, Q. et al. (2023). Automatic Identification of Sedimentary Microfacies Based on Adaboost Algorithm: A Case Study of Shanxi Formation, Q Area ...

ABSTRACT: In the course of oil and gas exploration, understanding the petrophysical parameters such as reservoir porosity and permeability is crucial for evaluating oil and gas reserves and mining ...
Scientific Research Publishing

Liang, Y., Huang, D., Chen, Y., Meng, Y. and Zhu, J. (2024) Optimization on Handling Stability Using Adaboost-Cart with an Improved Evolution Algorithm under Uncertainty ...

ABSTRACT: Based on Sentinel-2 satellite data, this study conducted remote sensing inversion of chemical elements in Laguocuo Salt Lake, Xizang, in order to reveal the spatial distribution ...
Visual Studio Magazine

AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...
The New York Times

Is Creativity Dead?

Mr. Ferguson is a documentary filmmaker. As you scroll through the internet, you’ve probably noticed the same problem Kirby Ferguson has: “Everything looks the same, sounds the same, is the same.” In ...
IEEE

AdaBoost.RDT: AdaBoost Integrated With Residual-Based Decision Tree for Demand Prediction of Bike Sharing Systems Under Extreme Demands

Abstract: Boosting algorithms are widely used for predicting demand in bike-sharing systems (BSSs). However, these systems often encounter sudden spikes in demand (extreme demand). Ordinary boosting ...