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Scientific Journal Publishes Paper With AI-Generated Introduction

Technology Networks
Published in Elsevier's Surfaces and Interfaces journal, the first line of said paper's introduction reads: “Certainly, here is a possible introduction for...
7 months ago

Application of machine learning in atmospheric pollution research: A state-of-art review

ScienceDirect.com
Machine learning (ML) is a powerful tool for predicting pollutant concentrations. 105 articles related to ML and atmospheric pollution research are reviewed.
9 months ago

Leveraging machine learning algorithms for improved disaster preparedness and response through accurate weather pattern and natural disaster prediction

Frontiers
Globally, communities and governments face growing challenges from an increase in natural disasters and worsening weather extremes. Precision in disaster...
4 months ago

(PDF) Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources

ResearchGate
The recent three years have proved that Machine Learning (ML) models are a promising solution for forecasting electricity generation from RES.
3 months ago

How we help researchers find that needle

Elsevier
Machine learning can help by combing through a sea of data for a small set of manageable information a human can comprehend.
24 months ago

Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation

ScienceDirect.com
The aim of the work was to assess the usefulness of machine learning in predicting the migration of pollutants from microplastics.
10 months ago

Machine learning misclassification networks reveal a citation advantage of interdisciplinary publications only in high-impact journals

Nature
Given a large enough volume of data and precise, meaningful categories, training a statistical model to solve a classification problem is...
1 month ago

IOP Publishing launches open access AI and ML journal series

Research Information
Machine Learning series will cover applications across physical sciences, engineering, biomedicine and health, and environmental and earth...
3 months ago

(PDF) Artificial Intelligence in Digital Marketing: Insights from a Comprehensive Review

ResearchGate
This research seeks to answer the pivotal question: “How could AI applications be leveraged to optimize digital marketing strategies”?
11 months ago

Machine learning model and input batch management tool for the composition of new recycled polypropylene plastic material with reduced variability in target properties

ScienceDirect.com
A model is developed that predicts key material properties (melt flow index, ash content, Izod impact strength and percentage of shrinkage) in a mixture of...
10 months ago