AIMC Topic: Particle Size
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Hierarchically Structured and Scalable Artificial Muscles for Smart Textiles.
ACS applied materials & interfaces
Nov 7, 2021
Fiber-based artificial muscles with excellent actuation performance are gaining great attention as soft materials for flexible actuators; however, current advances in fiber-based artificial muscles generally suffer from high cost, harsh stimulation r...
Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms.
Waste management (New York, N.Y.)
Oct 26, 2021
Sensor-based material flow characterization (SBMC) promises to improve the performance of future-generation sorting plants by enabling new applications like automatic quality monitoring or process control. Prerequisite for this is the derivation of m...
Walking-induced exposure of biological particles simulated by a children robot with different shoes on public floors.
Environment international
Oct 13, 2021
Inhalation exposure to the resuspended biological particles from public places can cause adverse effects on human health. In this work, carpet dust samples were first collected from twenty example conference and hotel rooms by a vacuum cleaner. A bip...
PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning.
IEEE transactions on neural networks and learning systems
Oct 5, 2021
This article devises a photograph-based monitoring model to estimate the real-time PM concentrations, overcoming currently popular electrochemical sensor-based PM monitoring methods' shortcomings such as low-density spatial distribution and time dela...
Use of machine learning in prediction of granule particle size distribution and tablet tensile strength in commercial pharmaceutical manufacturing.
International journal of pharmaceutics
Sep 29, 2021
In the manufacturing of pharmaceutical Oral Solid Dosage (OSD) forms, Particle Size Distribution (PSD) and Tensile Strength (TS) are common in-process tests that are controlled in order to achieve the quality targets of the end-product. The Quality b...
Deep learning enabled classification of real-time respiration signals acquired by MoSSe quantum dot-based flexible sensors.
Journal of materials chemistry. B
Aug 16, 2021
Respiration rate is a vital parameter which is useful for the earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different breath rates. However, the disposability and biocompat...
Optimization of diosgenin extraction from Dioscorea deltoidea tubers using response surface methodology and artificial neural network modelling.
PloS one
Jul 21, 2021
INTRODUCTION: Dioscorea deltoidea var. deltoidea (Dioscoreaceae) is a valuable endangered plant of great medicinal and economic importance due to the presence of the bioactive compound diosgenin. In the present study, response surface methodology (RS...
Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.
PloS one
Jul 20, 2021
Accuracy of infrared (IR) models to measure soil particle-size distribution (PSD) depends on soil preparation, methodology (sedimentation, laser), settling times and relevant soil features. Compositional soil data may require log ratio (ilr) transfor...
Characterizing the Impact of Spray Dried Particle Morphology on Tablet Dissolution Using Quantitative X-Ray Microscopy.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Jul 3, 2021
For oral solid dosage forms, disintegration and dissolution properties are closely related to the powders and particles used in their formulation. However, there remains a strong need to characterize the impact of particle structures on tablet compac...
Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning.
Journal of hazardous materials
Jun 6, 2021
Airborne particulate matter (PM) has become a global environmental issue. This PM has harmful effects on public health and precision industries. Conventional air-quality monitoring methods usually utilize expensive equipment, and they are cumbersome ...
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