Toward intelligent food drying: Integrating artificial intelligence into drying systems
Artificial intelligence (AI) and its data-driven counterpart, machine learning (ML), are rapidly
evolving disciplines with increasing applications in modeling, simulation, control, and …
evolving disciplines with increasing applications in modeling, simulation, control, and …
[HTML][HTML] A complete physics-informed neural network-based framework for structural topology optimization
Abstract Physics-Informed Neural Networks (PINNs) have recently gained increasing
attention in the field of topology optimization. The fusion of deep learning and topology …
attention in the field of topology optimization. The fusion of deep learning and topology …
A comprehensive review of heat pump wood drying technologies
Wood drying is one of the most energy-intensive processes in lumber production, and most
wood drying kilns rely on combustion for the process heating. Heat pumps are a promising …
wood drying kilns rely on combustion for the process heating. Heat pumps are a promising …
The application of physics-informed machine learning in multiphysics modeling in chemical engineering
Physics-Informed Machine Learning (PIML) is an emerging computing paradigm that offers a
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …
A physics-informed neural network framework to investigate nonlinear and heterogenous shrinkage of drying plant cells
This paper introduces a novel Physics-Informed Neural Network-based (PINN-based) multi-
domain computational framework to analyse nonlinear and heterogeneous morphological …
domain computational framework to analyse nonlinear and heterogeneous morphological …
[HTML][HTML] An advanced physics-informed neural network-based framework for nonlinear and complex topology optimization
In this present paper, we introduce an advanced Physics-Informed Neural Network (PINN)
based Topology Optimization (TO) framework for addressing complex structural design …
based Topology Optimization (TO) framework for addressing complex structural design …
[HTML][HTML] Recent advances in determining the cellular-level property evolutions of plant-based food materials during drying
Background Determination of the changes in cellular-level structural, mechanical,
rheological and transport properties during the processing of plant-based food materials …
rheological and transport properties during the processing of plant-based food materials …
[HTML][HTML] Microwave-based and convective drying of cabbage (Brassica oleracea L. var capitata L.): computational intelligence modeling, thermophysical properties …
BS Luka, MJ Mactony, QM Vihikwagh… - Measurement: Food, 2024 - Elsevier
This study assessed and compared the impact of hot air oven drying (HAD) at 50, 60 and
70° C and microwave drying (MWD) at 195, 307 and 521 W on the kinetics of …
70° C and microwave drying (MWD) at 195, 307 and 521 W on the kinetics of …
A data-physic driven method for gear fault diagnosis using PINN and pseudo-dynamic features
Y Yang, X Wang, J Li, R Ge - Measurement, 2024 - Elsevier
Gear transmissions are extensively applied in automobiles, rail vehicles, watercraft, aircraft,
and so on. As the core component, gears directly affect the integral performance and …
and so on. As the core component, gears directly affect the integral performance and …
A meshless Runge-Kutta-based Physics-Informed Neural Network framework for structural vibration analysis
Abstract In recent years, Physics-Informed Neural Networks (PINN) have emerged as
powerful meshless numerical methods for solving partial differential equations (PDEs) in …
powerful meshless numerical methods for solving partial differential equations (PDEs) in …