AIMC Topic: Glass

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Data-Driven Modeling and Design of Sustainable High Tg Polymers.

International journal of molecular sciences Mar 18, 2025
This paper develops a machine learning methodology for the rapid and robust prediction of the glass transition temperature (Tg) for polymers for the targeted application of sustainable high-temperature polymers. The machine learning framework combine...
Machine Learning Transition Temperature Glass Models, Chemical Polymers
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GLASSR-Net: Glass Substrate Spectral Restoration Neural Network for Fourier Transform Infrared Microspectroscopy in the Fingerprint Region.

Analytical chemistry Feb 26, 2025
Fourier transform infrared (FTIR) microspectroscopy has emerged as a pivotal pathological tool, offering informative spectral biomarkers for numerous diseases. However, the dependency on specialized infrared (IR) substrates limits effective and wides...
Glass Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Humans
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An explainable machine learning system for efficient use of waste glasses in durable concrete to maximise carbon credits towards net zero emissions.

Waste management (New York, N.Y.) Dec 31, 2024
Recycling waste glass (WG) can be time-consuming, costly, and impractical. However, its incorporation into concrete significantly reduces environmental impact and carbon emissions. This paper introduces machine learning (ML) to civil engineering to o...
Construction Materials Algorithms Recycling Carbon Glass Neural Networks, Computer Machine Learning
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Data modeling analysis of GFRP tubular filled concrete column based on small sample deep meta learning method.

PloS one Jul 10, 2024
The meta-learning method proposed in this paper addresses the issue of small-sample regression in the application of engineering data analysis, which is a highly promising direction for research. By integrating traditional regression models with opti...
Neural Networks, Computer Plastics Deep Learning Data Analysis Glass Construction Materials
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The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized Y glass microspheres SIRT: a preliminary machine learning study.

European journal of nuclear medicine and molecular imaging Jul 9, 2024
BACKGROUND: Overall Survival (OS) and Progression-Free Survival (PFS) analyses are crucial metrics for evaluating the efficacy and impact of treatment. This study evaluated the role of clinical biomarkers and dosimetry parameters on survival outcomes...
Carcinoma, Hepatocellular Progression-Free Survival Middle Aged Liver Neoplasms Glass Yttrium Radioisotopes Microspheres Radiometry Female Aged Biomarkers, Tumor Male Precision Medicine Retrospective Studies Humans Machine Learning
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High Glass Transition Temperature Fluorinated Polymers Based on Transfer Learning with Small Experimental Data.

Macromolecular rapid communications Jun 18, 2024
Machine learning can be used to predict the properties of polymers and explore vast chemical spaces. However, the limited number of available experimental datasets hinders the enhancement of the predictive performance of a model. This study proposes ...
Polymers Transition Temperature Glass Machine Learning Halogenation
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Study on design optimization of GFRP tubular column composite structure based on machine learning method.

PloS one Apr 26, 2024
Circular reinforced concrete wound glass fiber reinforced polymer (GFRP) columns and reinforced concrete filled GFRP columns are extensively utilized in civil engineering practice. Various factors influence the performance of these two types of GFRP ...
Glass Polymers Materials Testing Machine Learning Construction Materials
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AI and the transformation of industrial work: Hybrid intelligence vs double-black box effect.

Applied ergonomics Apr 4, 2024
It is uncertain how the application of artificial intelligence (AI) technology transforms industrial work. We address this question from the perspective of cognitive systems, which, in this case, includes considerations of AI and process transparency...
Humans Artificial Intelligence Automation Glass Task Performance and Analysis Industry
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Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier.

Scientific reports Aug 19, 2023
Fine needle aspiration (FNA) biopsy of thyroid nodules is a safe, cost-effective, and accurate diagnostic method for detecting thyroid cancer. However, about 10% of initial FNA biopsy samples from patients are non-diagnostic and require repeated FNA,...
Mental Recall Humans Glass Deep Learning Thyroid Gland Biopsy, Fine-Needle
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Characterization of Biocomposites and Glass Fiber Epoxy Composites Based on Acoustic Emission Signals, Deep Feature Extraction, and Machine Learning.

Sensors (Basel, Switzerland) Sep 13, 2022
This study presents the results of acoustic emission (AE) measurements and characterization in the loading of biocomposites at room and low temperatures that can be observed in the aviation industry. The fiber optic sensors (FOS) that can outperform ...
Neural Networks, Computer Machine Learning Acoustics Glass
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