[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes

AL Bowler, MP Pound, NJ Watson - Ultrasonics, 2022 - Elsevier
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …

Development of liquid level measurement technology: A review

P Mohindru - Flow Measurement and Instrumentation, 2023 - Elsevier
Depending on various applications, the process control industry uses liquid-level sensors of
different principles. Due to the dynamic nature of liquid such as water, wastewater …

Truths and myths about superfoods in the era of the COVID-19 pandemic

A Hassoun, R Harastani, S Jagtap… - Critical Reviews in …, 2024 - Taylor & Francis
Nowadays, during the current COVID-19 pandemic, consumers increasingly seek foods that
not only fulfill the basic need (ie, satisfying hunger) but also enhance human health and well …

Intelligent sensors for sustainable food and drink manufacturing

NJ Watson, AL Bowler, A Rady, OJ Fisher… - … in Sustainable Food …, 2021 - frontiersin.org
Food and drink is the largest manufacturing sector worldwide and has significant
environmental impact in terms of resource use, emissions, and waste. However, food and …

Scale-up study of aerated coaxial mixing reactors containing non-newtonian power-law fluids: Analysis of gas holdup, cavity size, and power consumption

A Rahimzadeh, F Ein-Mozaffari, A Lohi - Journal of Industrial and …, 2022 - Elsevier
The use of coaxial mixers has significantly improved gas dispersion in non-Newtonian fluids.
However, to the best of our knowledge, no scale-up investigation of an aerated coaxial mixer …

The determination of bread dough readiness during kneading of wheat flour: A review of the available methods

O Parenti, L Guerrini, SB Mompin, M Toldrà… - Journal of Food …, 2021 - Elsevier
Kneading is one of the most important steps in the bread-making process of wheat flour. The
quality of wheat breads mostly depends on the proper development of the gluten network …

Anomaly detection and inter-sensor transfer learning on smart manufacturing datasets

M Abdallah, BG Joung, WJ Lee, C Mousoulis… - Sensors, 2023 - mdpi.com
Smart manufacturing systems are considered the next generation of manufacturing
applications. One important goal of the smart manufacturing system is to rapidly detect and …

Transfer learning for process monitoring using reflection-mode ultrasonic sensing

AL Bowler, NJ Watson - Ultrasonics, 2021 - Elsevier
The fourth industrial revolution is set to integrate entire manufacturing processes using
industrial digital technologies such as the Internet of Things, Cloud Computing, and machine …

Study on the relationship between morphological characterizations of dough crumb particles at different mixing stages and noodles quality

K Ma, Z Shi, X Wang, L Zou, MC Messia… - Journal of Food …, 2023 - Elsevier
To overcome the existing artificial experience evaluation approaches of wheat dough crumb
(DC), image processing technique combined migration learning technique has been …

Real-time monitoring of fat crystallization using pulsed acoustic spectroscopy and supervised machine learning

L Metilli, L Morris, A Lazidis, S Marty-Terrade… - Journal of Food …, 2022 - Elsevier
Enhancing the control and yield of lipid crystallization is fundamental in several industrial
areas, including pharmaceutical, cosmetic and food manufacturing. However, the multi …