Abstract: First-photon imaging is a photon-efficient computational imaging technique that reconstructs an image by recording only the first-photon arrival event at each spatial location and then ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
This repository contains the complete code implementation for the manuscript "Reliable DOM Fluorescence Prediction via Solvent Sensitive Machine Learning and Domain Refinement". The code implements a ...
Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...
The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).