AIMC Topic: Powders

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Explainable AI: Machine Learning Interpretation in Blackcurrant Powders.

Sensors (Basel, Switzerland) May 17, 2024
Recently, explainability in machine and deep learning has become an important area in the field of research as well as interest, both due to the increasing use of artificial intelligence (AI) methods and understanding of the decisions made by models....
Decision Trees Powders Ribes Machine Learning Algorithms Artificial Intelligence
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Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques.

Scientific reports May 7, 2024
Discriminating different cultivars of maca powder (MP) and detecting their authenticity after adulteration with potent adulterants such as maize and soy flour is a challenge that has not been studied with non-invasive techniques such as near infrared...
Zea mays Powders Spectroscopy, Near-Infrared Food Contamination Flour Macau Glycine max Spectrophotometry Machine Learning
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Geographical discrimination of Asian red pepper powders using H NMR spectroscopy and deep learning-based convolution neural networks.

Food chemistry Dec 6, 2023
This study investigated an innovative approach to discriminate the geographical origins of Asian red pepper powders by analyzing one-dimensional H NMR spectra through a deep learning-based convolution neural network (CNN). H NMR spectra were collecte...
Neural Networks, Computer Powders Magnetic Resonance Spectroscopy Deep Learning Bayes Theorem Capsicum
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Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Oct 15, 2023
This work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the particle size distribution (PSD) of two components of a powder blend. The blend consisted of ...
Technology, Pharmaceutical Chromatography, High Pressure Liquid Powders Deep Learning Particle Size
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An overview of the implementation of SeDeM and SSCD in various formulation developments.

International journal of pharmaceutics Feb 8, 2023
The Sediment Delivery Model explains experimental analysis and quantitative assessment of the powdered substance characterizing parameters, which offer pertinent data about the material's appropriateness for direct compression (DC) of tablet, which i...
Pressure Excipients Expert Systems Drug Compounding Tablets Powders
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Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar.

PloS one Jan 23, 2023
Using solid waste in building materials is an efficient approach to achieving sustainability goals. Also, the application of modern methods like artificial intelligence is gaining attention. In this regard, the flexural strength (FS) of cementitious ...
Construction Materials Artificial Intelligence Glass Ionomer Cements Powders Machine Learning Flexural Strength
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Processability evaluation of multiparticulate units prepared by selective laser sintering using the SeDeM Expert System approach.

International journal of pharmaceutics Oct 26, 2022
3D printing in dosage forms fabrication is in the focus of researchers, however, the attempts in multiparticulate units (MPUs) preparation are scarce. The aim of this study was to fabricate different size MPUs by selective laser sintering (SLS), usin...
Tablets Powders Expert Systems Drug Compounding Lasers Excipients
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Printability for additive manufacturing with machine learning: Hybrid intelligent Gaussian process surrogate-based neural network model for Co-Cr alloy.

Journal of the mechanical behavior of biomedical materials Aug 31, 2022
AM has revolutionized the manufacturing industry, involving several operating parameters that may affect the properties of the final manufactured part. In AM, LPBF has proved its reliability in producing dense components; however, process development...
Neural Networks, Computer Powders Alloys Machine Learning Reproducibility of Results
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Anti-Colorectal Cancer Effects of (Bull.: Fr.) P. Karst. Spore Powder through Regulation of Gut Microbiota-Mediated JAK/STAT Signaling.

Nutrients Aug 12, 2022
(Bull.: Fr.) P. Karst. spore powder (IHS) contains polyphenols and triterpenoids with pharmacological effects. Here, we analyzed its composition, and we investigated the effects of IHS on colorectal cancer (CRC) in B6/JGpt-/Gpt () mice and its poten...
Janus Kinases Spores Gastrointestinal Microbiome Animals Powders Neoplasms CD8-Positive T-Lymphocytes Inonotus Mice
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Optimization of Dechlorination Experiment Design Using Lightweight Deep Learning Model.

Computational intelligence and neuroscience Jun 25, 2022
This exploration intends to remove chloride ions in production and life, enhance buildings' durability, and protect the natural environment from pollution. The current dechlorination technology is discussed based on the relevant theories, such as the...
Deep Learning Adsorption Powders Coal Ash Chlorides
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