Massive Free Documents

Discover millions of professional documents covering academic, business, culture and more.

Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach

Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach

Added by Ava Thompson

An Overview on Machine Learning Methods for Partial Differential Equations - from Physics Informed Neural Networks to Deep Operator Learning

An Overview on Machine Learning Methods for Partial Differential Equations - from Physics Informed Neural Networks to Deep Operator Learning

Added by Ava Thompson

IMPACTS OF DATA PREPROCESSING AND HYPERPARAMETER OPTIMIZATION ON THE PERFORMANCE OF MACHINE LEARNING MODELS APPLIED TO INTRUSION DETECTION SYSTEMS

IMPACTS OF DATA PREPROCESSING AND HYPERPARAMETER OPTIMIZATION ON THE PERFORMANCE OF MACHINE LEARNING MODELS APPLIED TO INTRUSION DETECTION SYSTEMS

Added by Ava Thompson

A chemical bond-based machine learning model for dipole moment - Application to dielectric properties of liquid methanol and ethanol

A chemical bond-based machine learning model for dipole moment - Application to dielectric properties of liquid methanol and ethanol

Added by Ava Thompson

The Challenges of Machine Learning: A Critical Review

The Challenges of Machine Learning: A Critical Review

Added by Ava Thompson

Cross Validation Machine Learning Model Predicts More Accurate - A Comparative Study of Heart Disease - Using Linear Regression, Support Vector Machine, K Neighbors and Random Forest Models

Cross Validation Machine Learning Model Predicts More Accurate - A Comparative Study of Heart Disease - Using Linear Regression, Support Vector Machine, K Neighbors and Random Forest Models

Added by Ava Thompson

The 5th Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0) - Extended Abstract Book

The 5th Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0) - Extended Abstract Book

Added by Ava Thompson

Classifying Corporates Default and Non-Default Using Machine Learning Artificial Neural Network - Multilayer Perceptron

Classifying Corporates Default and Non-Default Using Machine Learning Artificial Neural Network - Multilayer Perceptron

Added by Ava Thompson

Machine Learning Analysis in Predicting Bankruptcy in Companies - Case Study of Manufacturing Companies Listed on the Stock Exchange

Machine Learning Analysis in Predicting Bankruptcy in Companies - Case Study of Manufacturing Companies Listed on the Stock Exchange

Added by Ava Thompson

Predicting Road Accident Injury Severity for Drivers in Automobile Crashes in United States Using Machine Learning Models and AI

Predicting Road Accident Injury Severity for Drivers in Automobile Crashes in United States Using Machine Learning Models and AI

Added by Ava Thompson

Early detection of mild cognitive impairment through neuropsychological tests in population screenings - a decision support system integrating ontologies and machine learning

Early detection of mild cognitive impairment through neuropsychological tests in population screenings - a decision support system integrating ontologies and machine learning

Added by Olivia Brown

Towards In-Network Machine Learning on Programmable Network Devices - Doctor of Philosophy Thesis

Towards In-Network Machine Learning on Programmable Network Devices - Doctor of Philosophy Thesis

Added by Olivia Brown

QUANTUM MACHINE LEARNING ON NEAR-TERM QUANTUM DEVICES - CURRENT STATE OF SUPERVISED AND UNSUPERVISED TECHNIQUES

QUANTUM MACHINE LEARNING ON NEAR-TERM QUANTUM DEVICES - CURRENT STATE OF SUPERVISED AND UNSUPERVISED TECHNIQUES

Added by Olivia Brown

Advances in Machine Learning for Seismic Event Detection

Advances in Machine Learning for Seismic Event Detection

Added by Olivia Brown

Manufacturing workers fatigue - an exploratory study on predictive machine learning and cross-subject generalization with implications for work design

Manufacturing workers fatigue - an exploratory study on predictive machine learning and cross-subject generalization with implications for work design

Added by Olivia Brown