IEEE

Feature Selection in Machine Learning for Wetland Water Level Prediction

Abstract: Water levels in wetlands are crucial for preserving the environment, maintaining biodiversity, controlling floods, and regulating water quality. Effective water level prediction in wetlands ...
The Manila Times

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...
Scientific Research Publishing

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

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
IEEE

Research on an AVOD-Based Feature Extraction Network for Enhanced 3D Object Detection Algorithms

Abstract: Conventional object detection networks have certain limitations in the complex vehicle detection scene, which mainly come from a lack of powerful feature extraction and suboptimal ...