Potential of Deep Learning Methods for Deep Level Particle Characterization in Crystallization
出版年份 2022 全文链接
标题
Potential of Deep Learning Methods for Deep Level Particle Characterization in Crystallization
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 12, Issue 5, Pages 2465
出版商
MDPI AG
发表日期
2022-02-28
DOI
10.3390/app12052465
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Investigation on mixed particle classification based on imaging processing with convolutional neural network
- (2021) Chang Tian et al. POWDER TECHNOLOGY
- Applications of machine vision in pharmaceutical technology: A review
- (2021) Dorián László Galata et al. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
- In Situ Imaging Combined with Deep Learning for Crystallization Process Monitoring: Application to Cephalexin Production
- (2021) Hossein Salami et al. ORGANIC PROCESS RESEARCH & DEVELOPMENT
- A novel image analysis technique for 2D characterization of overlapping needle-like crystals
- (2021) Petros Neoptolemou et al. POWDER TECHNOLOGY
- Particle characterization with on-line imaging and neural network image analysis
- (2020) Yuanyi Wu et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Crystal texture recognition system based on image analysis for the analysis of agglomerates
- (2020) Zhi M. Lu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Quantification of internal crystal defects using image analysis
- (2020) Janine Lins et al. POWDER TECHNOLOGY
- Shape-independent particle classification for discrimination of single crystals and agglomerates
- (2019) Stefan Heisel et al. POWDER TECHNOLOGY
- Measurement of agglomeration during crystallization: Is the differentiation of aggregates and agglomerates via ultrasonic irradiation possible?
- (2019) Stefan Heisel et al. CHEMICAL ENGINEERING SCIENCE
- A Deep Learning Image-Based Sensor for Real-Time Crystal Size Distribution Characterization
- (2019) V. Manee et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Image-based size analysis of agglomerated and partially sintered particles via convolutional neural networks
- (2019) M. Frei et al. POWDER TECHNOLOGY
- Application of inline imaging for monitoring crystallization process in a continuous oscillatory baffled crystallizer
- (2018) Rohit Kacker et al. AICHE JOURNAL
- Discrimination between Single Crystals and Agglomerates during the Crystallization Process
- (2018) Stefan Heisel et al. CHEMICAL ENGINEERING & TECHNOLOGY
- Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes
- (2018) Javier Cardona et al. CHEMICAL ENGINEERING SCIENCE
- Influence of Filtration on the Agglomeration Degree of Two Crystalline Amino Acids
- (2018) Lisa Löbnitz et al. CHEMIE INGENIEUR TECHNIK
- Image Analysis for In-line Measurement of Multidimensional Size, Shape, and Polymorphic Transformation of l-Glutamic Acid Using Deep Learning-Based Image Segmentation and Classification
- (2018) Zhenguo Gao et al. CRYSTAL GROWTH & DESIGN
- Mask R-CNN
- (2018) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Sequential Crystallization Parameter Estimation Method for Determination of Nucleation, Growth, Breakage, and Agglomeration Kinetics
- (2018) Atul H. Bari et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Classification of crystallization outcomes using deep convolutional neural networks
- (2018) Andrew E. Bruno et al. PLoS One
- Fully automated primary particle size analysis of agglomerates on transmission electron microscopy images via artificial neural networks
- (2018) Max Frei et al. POWDER TECHNOLOGY
- Particle design via spherical agglomeration: A critical review of controlling parameters, rate processes and modelling
- (2018) Kate Pitt et al. POWDER TECHNOLOGY
- Measurement and Evaluation of the Crystallization Kinetics of l-Asparagine Monohydrate in the Ternary l-/d-Asparagine/Water System
- (2018) Erik Temmel et al. CRYSTAL GROWTH & DESIGN
- Online Detection of Particle Agglomeration during Solution Crystallization by Microscopic Double-View Image Analysis
- (2017) Yan Huo et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Potential of gassing crystallization to control the agglomeration degree of crystalline products
- (2017) Lisa-Marie Terdenge et al. POWDER TECHNOLOGY
- A comprehensive shape analysis pipeline for stereoscopic measurements of particulate populations in suspension
- (2017) Ashwin Kumar Rajagopalan et al. POWDER TECHNOLOGY
- A Short-Cut Method for the Quantification of Crystallization Kinetics. 2. Experimental Application
- (2016) Erik Temmel et al. CRYSTAL GROWTH & DESIGN
- Impact of agglomeration on crystalline product quality within the crystallization process chain
- (2016) Lisa-Marie Terdenge et al. CRYSTAL RESEARCH AND TECHNOLOGY
- Development of Screening Methodology for the Assessment of the Agglomeration Potential of APIs
- (2016) Charles D. Papageorgiou et al. ORGANIC PROCESS RESEARCH & DEVELOPMENT
- Agglomeration degree distribution as quality criterion to evaluate crystalline products
- (2015) Lisa-Marie Terdenge et al. CHEMICAL ENGINEERING SCIENCE
- Agglomeration of Needle-like Crystals in Suspension: I. Measurements
- (2015) David R. Ochsenbein et al. CRYSTAL GROWTH & DESIGN
- Image-Based in Situ Identification of Face Specific Crystal Growth Rates from Crystal Populations
- (2014) Christian Borchert et al. CRYSTAL GROWTH & DESIGN
- Modeling induced nucleation processes during batch cooling crystallization: A sequential parameter determination procedure
- (2013) Kerstin Wohlgemuth et al. COMPUTERS & CHEMICAL ENGINEERING
- Crystal Aggregation in a Flow Tube: Image-Based Observation
- (2011) C. Borchert et al. CHEMICAL ENGINEERING & TECHNOLOGY
- Measuring multidimensional particle size distributions during crystallization
- (2011) Stefan Schorsch et al. CHEMICAL ENGINEERING SCIENCE
- Using an Online Image Analysis Technique to Characterize Sucrose Crystal Morphology during a Crystallization Run
- (2011) A. Ferreira et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A geometric-based method for recognizing overlapping polygonal-shaped and semi-transparent particles in gray tone images
- (2011) Ola Suleiman Ahmad et al. PATTERN RECOGNITION LETTERS
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- A method for analyzing on-line video images of crystallization at high-solid concentrations
- (2008) Jian Wan et al. Particuology
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started