Review of Energy-Related Machine Learning Applications in Drying Processes
D Đaković, M Kljajić, N Milivojević, Đ Doder… - Energies, 2023 - mdpi.com
Drying processes are among the most energy-intensive industrial processes. There is a
need for development of the efficient methods needed for estimating, measuring, and …
need for development of the efficient methods needed for estimating, measuring, and …
[HTML][HTML] Artificial neural networks (ANNs) and multiple linear regression (MLR) for prediction of moisture content for coated pineapple cubes
J Meerasri, R Sothornvit - Case Studies in Thermal Engineering, 2022 - Elsevier
The effects were investigated of edible coating and drying temperature (50, 65 and 80° C)
on the properties of dehydrated pineapple cubes. A comparative study was performed using …
on the properties of dehydrated pineapple cubes. A comparative study was performed using …
Influences of Emerging Drying Technologies on Rice Quality
Rice is an important staple food in the world. Drying is an important step in the post-harvest
handling of rice and can influence rice qualities and thus play a key role in determining rice …
handling of rice and can influence rice qualities and thus play a key role in determining rice …
Fast and precise DEM parameter calibration for Cucurbita ficifolia seeds
X Ding, B Wang, Z He, Y Shi, K Li, Y Cui, Q Yang - Biosystems Engineering, 2023 - Elsevier
The lack of discrete element method (DEM) models and calibration parameters for Cucurbita
ficifolia seeds, as well as low accuracy and efficiency of common parameters calibration …
ficifolia seeds, as well as low accuracy and efficiency of common parameters calibration …
Modeling and optimization of osmo‐sonicated dehydration of garlic slices in a novel infrared dryer using artificial neural network and response surface methodology
This investigation aims to develop a novel infrared drying system and optimization of
ultrasound‐assisted osmotic dehydration of garlic slices. RSM and ANN approaches are …
ultrasound‐assisted osmotic dehydration of garlic slices. RSM and ANN approaches are …
Comparative Analysis of Machine Learning Methods for Predicting Energy Recovery from Waste
In the context of escalating energy demands and the quest for sustainable waste
management solutions, this paper evaluates the efficacy of three machine learning methods …
management solutions, this paper evaluates the efficacy of three machine learning methods …
Calibration of Small-Grain Seed Parameters Based on a BP Neural Network: A Case Study with Red Clover Seeds
X Ma, M Guo, X Tong, Z Hou, H Liu, H Ren - Agronomy, 2023 - mdpi.com
In order to enhance the accuracy of discrete element numerical simulations in the
processing of small-seed particles, it is essential to calibrate the parameters of seeds within …
processing of small-seed particles, it is essential to calibrate the parameters of seeds within …
Chemometrics for optimization and modeling of Cu (II) continuous adsorption onto carboxymethylcellulose-alginate encapsulated graphene oxide hydrogel beads
The discharge of liquid effluents bearing heavy metals such as Cu (II) into the environment
constitutes a source of pollution of both surface water and groundwater. Here, the …
constitutes a source of pollution of both surface water and groundwater. Here, the …
[HTML][HTML] Optimization of extraction process of Astragali radix-Paeoniae radix alba by comparing BBD-RSM and SA-BPNN and antioxidant activity
Q Chen, L Yu, H Zhou, H Wan, Y Zhang, H Wan… - LWT, 2024 - Elsevier
Abstract The Box-Behnken design-response surface methodology (BBD-RSM) and Back-
propagation neural network prediction model optimized by Simulated annealing (SA-BPNN) …
propagation neural network prediction model optimized by Simulated annealing (SA-BPNN) …
Exploring drying kinetics and fate of nutrients in thermal digestion of solid organic waste
Thermal digestion has emerged as a novel technique for the rapid treatment of solid organic
waste (SOW). Dehydration mechanism and fate of nutrients during the thermal digestion of …
waste (SOW). Dehydration mechanism and fate of nutrients during the thermal digestion of …