AIMC Topic: Desiccation

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Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence.

Scientific reports Jun 3, 2025
The quality of the onion slices was statistically evaluated based on the variables of drying conditions, considering the following characteristics: drying time, color, shrinkage, water activity, and rehydration ratio, critical parameters in evaluatin...
Artificial Intelligence Desiccation Temperature Onions Water Food Handling Ascorbic Acid
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Probabilistic design space exploration and optimization via bayesian approach for a fluid bed drying process.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences May 3, 2025
The concept of Design Space (DS), delineated as a region of investigated variables aimed at maintaining product quality, was introduced in the International Conference on Harmonisation (ICH) Q8 as a framework to direct pharmaceutical development. How...
Reproducibility of Results Models, Statistical Bayes Theorem Desiccation Technology, Pharmaceutical Uncertainty
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Construction of an Automated Removal Robot for the Natural Drying of Cacao Beans.

Sensors (Basel, Switzerland) Feb 28, 2025
Cacao producers often obtain low-quality beans due to the poor manual drying process. This study proposes the construction of an automated prototype robot for the removal during natural drying of cacao beans at Cooperativa Agraria Allima Cacao Ltd., ...
Seeds Phenols Cacao Robotics Automation Desiccation
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Understanding the low-temperature drying process of sludge with machine learning in a sewage-source heat pump drying system.

Journal of environmental management Jan 23, 2025
Heat pump drying technology based on sewage heat source is an eco-friendly sludge drying method. It can effectively reduce the pollution of natural water bodies by waste heat while reducing energy consumption. However, the drying characteristics of s...
Machine Learning Temperature Desiccation Sewage Hot Temperature
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High-Speed Imaging-Based Particle Attribute Analysis of Spray-Dried Amorphous Solid Dispersions Using a Convolution Neural Network.

Molecular pharmaceutics Dec 2, 2024
Spray drying is a well-established method for preparing amorphous solid dispersion (ASD) formulations to improve the oral bioavailability of poorly soluble drugs. In addition to the characterization of the amorphous phase, particle attributes of spra...
Chemistry, Pharmaceutical Desiccation Particle Size Solubility Drug Compounding Spray Drying Neural Networks, Computer
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Evaluation and process monitoring of jujube hot air drying using hyperspectral imaging technology and deep learning for quality parameters.

Food chemistry Nov 12, 2024
Timely and effective detection of quality attributes during drying control is essential for enhancing the quality of fruit processing. Consequently, this study aims to employ hyperspectral imaging technology for the non-destructive monitoring of solu...
Food Handling Quality Control Hot Temperature Desiccation Deep Learning Ziziphus Hyperspectral Imaging Fruit
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Artificial intelligence as a tool for predicting the quality attributes of garlic (Allium sativum L.) slices during continuous infrared-assisted hot air drying.

Journal of food science Oct 9, 2024
Effective drying methods are a highly suitable solution for ensuring stable food supply chains, reducing postharvest agricultural losses, and preventing the spoilage of perishable fruits and vegetables. Moreover, machine learning techniques are innov...
Sulfinic Acids Desiccation Garlic Food Handling Color Hot Temperature Food Preservation Taste Disulfides Neural Networks, Computer Infrared Rays Artificial Intelligence
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Prediction and visualization of moisture content in Tencha drying processes by computer vision and deep learning.

Journal of the science of food and agriculture Feb 27, 2024
BACKGROUND: It is important to monitor and control the moisture content throughout the Tencha drying processing procedure so that its quality is ensured. Workers often rely on their senses to perceive the moisture content, leading to relative subject...
Water Image Processing, Computer-Assisted Desiccation Neural Networks, Computer Deep Learning
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Factors affecting energy efficiency of microwave drying of foods: an updated understanding.

Critical reviews in food science and nutrition Sep 22, 2022
Microwave drying (MWD) is an efficient dielectric drying method in food, with advantages such as volumetric heating, fast drying, safety, and good product quality. As a key indicator of a dryer's market value, energy efficiency is of concern to selle...
Conservation of Energy Resources Artificial Intelligence Desiccation Fruit Microwaves
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Evaluation of multilayer perceptron neural networks and adaptive neuro-fuzzy inference systems for the mass transfer modeling of Echium amoenum Fisch. & C. A. Mey.

Journal of the science of food and agriculture Jun 4, 2021
BACKGROUND: Multilayer perceptron (MLP) feed-forward artificial neural networks (ANN) and first-order Takagi-Sugeno-type adaptive neuro-fuzzy inference systems (ANFIS) are utilized to model the fluidized bed-drying process of Echium amoenum Fisch. & ...
Food Preservation Water Desiccation Echium Fuzzy Logic Neural Networks, Computer Temperature
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