AIMC Topic: Plastics
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Optimization of diesel engine performance and emission using waste plastic pyrolytic oil by ANN and its thermo-economic assessment.
Environmental science and pollution research international
Apr 20, 2023
The current study focuses on the engine performance and emission analysis of a 4-stroke compression ignition engine powered by waste plastic oil (WPO) obtained by the catalytic pyrolysis of medical plastic wastes. This is followed by their optimizati...
Spectral Classification of Large-Scale Blended (Micro)Plastics Using FT-IR Raw Spectra and Image-Based Machine Learning.
Environmental science & technology
Apr 13, 2023
Microplastics (MPs) are currently recognized as emerging pollutants; their identification and classification are therefore essential during their monitoring and management. In contrast to most studies based on small datasets and library searches, thi...
The Natural Robotics Contest: crowdsourced biomimetic design.
Bioinspiration & biomimetics
Mar 22, 2023
Biomimetic and bioinspired design is not only a potent resource for roboticists looking to develop robust engineering systems or understand the natural world. It is also a uniquely accessible entry point into science and technology. Every person on E...
The predictive model for COVID-19 pandemic plastic pollution by using deep learning method.
Scientific reports
Mar 13, 2023
Pandemic plastics (e.g., masks, gloves, aprons, and sanitizer bottles) are global consequences of COVID-19 pandemic-infected waste, which has increased significantly throughout the world. These hazardous wastes play an important role in environmental...
Analysis and forecasting of national marine litter based on coastal data in South Korea from 2009 to 2021.
Marine pollution bulletin
Mar 11, 2023
In this study, statistical analysis and forecasting were performed using coastal litter data of Korea. The analysis indicated that rope and vinyl accounted for the highest proportion of coastal litter items. The statistical analysis of the national c...
Deep learning for detecting macroplastic litter in water bodies: A review.
Water research
Jan 16, 2023
Plastic pollution in water bodies is an unresolved environmental issue that damages all aquatic environments, and causes economic and health problems. Accurate detection of macroplastic litter (plastic items >5 mm) in water is essential to estimate t...
A Critical Review on Artificial Intelligence-Based Microplastics Imaging Technology: Recent Advances, Hot-Spots and Challenges.
International journal of environmental research and public health
Jan 9, 2023
Due to the rapid artificial intelligence technology progress and innovation in various fields, this research aims to use science mapping tools to comprehensively and objectively analyze recent advances, hot-spots, and challenges in artificial intelli...
A strategy to formulate data-driven constitutive models from random multiaxial experiments.
Scientific reports
Dec 23, 2022
We present a test technique and an accompanying computational framework to obtain data-driven, surrogate constitutive models that capture the response of isotropic, elastic-plastic materials loaded in-plane stress by combined normal and shear stresse...
Deep learning based approach for automated characterization of large marine microplastic particles.
Marine environmental research
Nov 18, 2022
The rapidly growing concern of marine microplastic pollution has drawn attentions globally. Microplastic particles are normally subjected to visual characterization prior to more sophisticated chemical analyses. However, the misidentification rate of...
Multimodal collective swimming of magnetically articulated modular nanocomposite robots.
Nature communications
Nov 8, 2022
Magnetically responsive composites can impart maneuverability to miniaturized robots. However, collective actuation of these composite robots has rarely been achieved, although conducting cooperative tasks is a promising strategy for accomplishing di...
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