An Introduction to Machine Learning Tools for the Analysis of Microplastics in Complex Matrices DOI Creative Commons
Brian Coleman

Environmental Science Processes & Impacts, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This work introduces the reader to machine learning principles and highlights its usage in examining microplastics soil samples.

Язык: Английский

Microplastics monitoring in freshwater systems: A review of global efforts, knowledge gaps, and research priorities DOI
Bu Zhao,

Ruth E Richardson,

Fengqi You

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 477, С. 135329 - 135329

Опубликована: Июль 27, 2024

Язык: Английский

Процитировано

21

Discovery and solution for microplastics: New risk carriers in food DOI
Qi Zhang, Xin Wang, Chen Yang

и другие.

Food Chemistry, Год журнала: 2025, Номер unknown, С. 142784 - 142784

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Utilizing Artificial Intelligence and Machine Learning for Enhanced Recycling Efforts DOI
Nikita Kandpal,

Nishant Singhal,

Harsh Vardhan Lavaniya

и другие.

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 65 - 82

Опубликована: Янв. 16, 2025

One industry that has benefitted largely from the integration of Artificial Intelligence (AI) and machine learning (ML) in its processes is recycling, providing significant advancements waste management towards sustainability environmental conservation. This chapter highlights application AI ML various streams (plastic, electronic food, paper, textile, metal etc. wastage). These systems use AI-powered image recognition sorting to better separate materials, helping increasing efficiency chemical recycling technologies; meanwhile algorithms enable cleaner for handling chemicals material recovery. Increased precision removal valuable components via automated disassembly predictive analytics. Using helped increase operational efficiency, resources recovery but also shown clear contributions environment overall ensure sustainable future ahead.

Язык: Английский

Процитировано

0

Applications of machine learning methods for design and characterization of high-performance fiber-reinforced cementitious composite (HPFRCC): a review DOI
Pengwei Guo, Seyed Amirhossein Moghaddas, Yiming Liu

и другие.

Journal of Sustainable Cement-Based Materials, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

0

Innovative materials that behave like robots to combat plastic pollution DOI
Shafqat Ali, Muhammad Haris Khan, Zareen Zuhra

и другие.

Materials Horizons, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

The growing plastic pollution crisis demands novel approaches, with innovative materials that mimic robotic behaviors emerging as a promising solution.

Язык: Английский

Процитировано

0

Biosensors for Micro- and Nanoplastics Detection: A Review DOI Creative Commons

Maria Daoutakou,

Spyridon Kintzios

Chemosensors, Год журнала: 2025, Номер 13(4), С. 143 - 143

Опубликована: Апрель 14, 2025

Microplastics (MPs) and nanoplastics (NPs), which are widespread in many habitats as the byproducts of various industrial processes, pose considerable environmental health hazards. However, current, conventional methods for detecting characterizing them considerably lacking throughput, sensitivity, reliability, field deployability. In current report, we review state art biosensor-based MP/NP detection, particular, describing advances optical electrochemical approaches, along with development novel biorecognition elements application bioinformatics tools.

Язык: Английский

Процитировано

0

A new holistic perspective to assess the ecological risk of microplastics: A case study in Baiyangdian Basin, China DOI
Yifei Ma,

Xue‐yi You

Journal of Hazardous Materials, Год журнала: 2024, Номер 480, С. 135919 - 135919

Опубликована: Сен. 20, 2024

Язык: Английский

Процитировано

1

Morphometric characteristics and spatiotemporal heterogeneity of microplastics on the north-east coast of India DOI

I. Anandavelu,

R. Karthik,

R.S. Robin

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 480, С. 136180 - 136180

Опубликована: Окт. 15, 2024

Язык: Английский

Процитировано

1

Deep learning-powered efficient characterization and quantification of microplastics DOI
Pengwei Guo,

Yuhuan Wang,

Shenghua Wu

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 480, С. 136241 - 136241

Опубликована: Окт. 21, 2024

Язык: Английский

Процитировано

1

From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification DOI
Nelle Meyers, Bavo De Witte, Natascha Schmidt

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(52), С. 61860 - 61875

Опубликована: Окт. 24, 2024

Язык: Английский

Процитировано

1