AIMC Topic: Plastics

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Identifying plastics with photoluminescence spectroscopy and machine learning.

Scientific reports Nov 6, 2022
A quantitative understanding of the worldwide plastics distribution is required not only to assess the extent and possible impact of plastic litter on the environment but also to identify possible counter measures. A systematic collection of data cha...
Algorithms Plastics Spectrum Analysis Machine Learning
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Neural representational geometry underlies few-shot concept learning.

Proceedings of the National Academy of Sciences of the United States of America Oct 17, 2022
Understanding the neural basis of the remarkable human cognitive capacity to learn novel concepts from just one or a few sensory experiences constitutes a fundamental problem. We propose a simple, biologically plausible, mathematically tractable, and...
Neural Networks, Computer Learning Animals Humans Macaca Plastics Concept Formation Primates Visual Pathways
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Deep-Learning-Based Character Recognition from Handwriting Motion Data Captured Using IMU and Force Sensors.

Sensors (Basel, Switzerland) Oct 15, 2022
Digitizing handwriting is mostly performed using either image-based methods, such as optical character recognition, or utilizing two or more devices, such as a special stylus and a smart pad. The high-cost nature of this approach necessitates a cheap...
Plastics Motion Neural Networks, Computer Deep Learning Handwriting Humans
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Identification of micro- and nanoplastics released from medical masks using hyperspectral imaging and deep learning.

The Analyst Oct 10, 2022
Apart from other severe consequences, the COVID-19 pandemic has inflicted a surge in personal protective equipment usage, some of which, such as medical masks, have a short effective protection time. Their misdisposition and subsequent natural degrad...
Microplastics Hyperspectral Imaging Deep Learning Plastics Humans Masks Pandemics COVID-19
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Optimization Design of Drilling Fluid Chemical Formula Based on Artificial Intelligence.

Computational intelligence and neuroscience Oct 4, 2022
Through the research and development of the regression prediction function of support vector machine, this paper applies it to the prediction of drilling fluid performance parameters and the formulation design of drilling fluid. The research in this ...
Plastics Artificial Intelligence Support Vector Machine
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A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming.

PloS one Oct 3, 2022
This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soil...
Clay Sand Soil Gene Expression Reproducibility of Results Artificial Intelligence Plastics
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Choreography Controlled (ChoCo) brain MRI artifact generation for labeled motion-corrupted datasets.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 19, 2022
MRI is a non-invasive medical imaging modality that is sensitive to patient motion, which constitutes a major limitation in most clinical applications. Solutions may arise from the reduction of acquisition times or from motion-correction techniques, ...
Plastics Motion Artifacts Artificial Intelligence Image Processing, Computer-Assisted Prospective Studies Magnetic Resonance Imaging Brain Humans Retrospective Studies
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Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0.

Sensors (Basel, Switzerland) Sep 8, 2022
Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range of application domains, from structural design to medical technology. This is based upon the unique and inherent characteristics such as thermal Shape...
Alloys Shape Memory Alloys Humans Wearable Electronic Devices Robotics Plastics
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Deploying deep learning to estimate the abundance of marine debris from video footage.

Marine pollution bulletin Aug 22, 2022
The insatiable desire of society for plastic goods has led to synthetic materials becoming omnipresent in the marine environment. In attempting to address the problem of plastic pollution, we propose an image classifier based on the YOLOv5 deep learn...
Environmental Monitoring Plastics Animals Video Recording Deep Learning Waste Products
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MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams.

PloS one Jun 15, 2022
Environmental monitoring of microplastics (MP) contamination has become an area of great research interest, given potential hazards associated with human ingestion of MP. In this context, determination of MP concentration is essential. However, cheap...
Microplastics Humans Bivalvia Animals Deep Learning Plastics Image Processing, Computer-Assisted Microscopy, Fluorescence
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