Processing of micro-CT images of granodiorite rock samples using convolutional neural networks (CNN), Part I: Super-resolution enhancement using a 3D CNN

A Roslin, M Marsh, N Piché, B Provencher… - Minerals …, 2022 - Elsevier
X-ray micro-computed tomography (micro-CT) is widely used for three-dimensional analysis
of many rock types. However, the practical implementation of this method for micro-porous …

[HTML][HTML] In-line particle size measurement during granule fluidization using convolutional neural network-aided process imaging

O Péterfi, L Madarász, M Ficzere… - European Journal of …, 2023 - Elsevier
This paper presents a machine learning-based image analysis method to monitor the
particle size distribution of fluidized granules. The key components of the direct imaging …

Development of tablet defect detection model using biaxial planes discrete scanning algorithm

HC Lin, SX Xiao - The International Journal of Advanced Manufacturing …, 2023 - Springer
Oral administration is the most broadly used dosage form for drug delivery in a disease
treatment. However, the tablet imperfections known as visual defects may significantly …

Achievement of dynamic tablet defect detection mechanism using biaxial slope symmetry algorithm

HC Lin, SX Xiao - Journal of Pharmaceutical Sciences, 2024 - Elsevier
An inspection in tablet appearance integrity before bottling is regarded as a routine task in a
pharmaceutical factory. Although some methods such as automated optical instrument …

[Retracted] Application of Convolutional Neural Network Algorithm under Deep Learning in Digital Clothing Design

X Xue, X Xue - Security and Communication Networks, 2022 - Wiley Online Library
In order to overcome the influence of background, lighting, deformation, and other factors,
using a constitutional neural network structure combined with metric learning, specifically, it …

Research on tablet crack detection algorithm based on improved YOLOv5

H Zhu, X Zhang, X Li, Q Shi, S Wang - International Conference in …, 2022 - Springer
Tablet crack detection is an important part to ensure drug quality in the process of drug
production. In view of the problems of target detection algorithm in the actual tablet crack …

Computer deep learning network security vulnerability detection based on virtual reality technology

X Zheng - Advances in Multimedia, 2022 - Wiley Online Library
In order to detect the computer network security technology vulnerabilities due to various
factors, the normal operation of the computer network must be ensured, the user's …

Detection and prediction of crane arms based on deep learning

H Liu, S Cao, W Tan - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Welding technology has been widely applied in aerospace, national defense science and
industry, machinery manufacturing, petrochemical industries, and other important fields. Due …

Developing In-Line Processes for Drug Dissolution Profile Testing and Viscosity Measurement in Pharmaceutical Manufacturing

MA Mrad - 2024 - search.proquest.com
The pharmaceutical industry has an ongoing need to improve processes related to drug
development and manufacturing. Two important areas for improvement are drug dissolution …

Utjecaj umjetne inteligencije na kontrolu kakvoće lijekova u farmaceutskoj industriji

AM Bartol - 2024 - repozitorij.pharma.unizg.hr
Sažetak Cilj istraživanja U posljednjem desetljeću, umjetna inteligencija (engl. Artificial
Intelligence, AI) unaprijedila je mnoge industrije, a farmaceutska industrija nije iznimka …