Implementation of deep learning methods in prediction of adsorption processes

Machine-learning enabled thermodynamic model for the design of new rare-earth compounds

(2022) Prashant Singh et al.   ACTA MATERIALIA

DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery

(2021) Haodong Xu et al.   Advanced Science

Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis

(2021) Alan Kaplan et al.   Journal of Allergy and Clinical Immunology-In Practice

Prediction of residual stresses in turning of pure iron using artificial intelligence-based methods

(2021) Ahmed B. Khoshaim et al.   Journal of Materials Research and Technology-JMR&T

LSTM with bio inspired algorithm for action recognition in sports videos

(2021) Jun Chen et al.   IMAGE AND VISION COMPUTING

A machine learning approach to the prediction of transport and thermodynamic processes in multiphysics systems - heat transfer in a hybrid nanofluid flow in porous media

(2021) Rasool Alizadeh et al.   Journal of the Taiwan Institute of Chemical Engineers

Deep learning of thermodynamics-aware reduced-order models from data

(2021) Quercus Hernandez et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning combined with IAST to screen thermodynamically feasible MOFs for adsorption-based separation of multiple binary mixtures

(2021) Ryther Anderson et al.   JOURNAL OF CHEMICAL PHYSICS

Experimental Investigation of an Intensified Heat Transfer Adsorption Bed (IHTAB) Reactor Prototype

(2021) Karolina Grabowska et al.   Materials

Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

(2021) Tao Yang et al.   Engineering

Artificial intelligence application for the performance prediction of a clean energy community

(2021) Domenico Mazzeo et al.   ENERGY

Prediction of heating energy consumption with operation pattern variables for non-residential buildings using LSTM networks

(2021) Jihoon Jang et al.   ENERGY AND BUILDINGS

Artificial neural network for predicting nuclear power plant dynamic behaviors

(2021) M. El-Sefy et al.   Nuclear Engineering and Technology

Interpretable spatio-temporal attention LSTM model for flood forecasting

(2020) Yukai Ding et al.   NEUROCOMPUTING

Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches

(2020) İsmail Kırbaş et al.   CHAOS SOLITONS & FRACTALS

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

(2020) Beakcheol Jang et al.   Applied Sciences-Basel

Application of Gated Recurrent Unit (GRU) Neural Network for Smart Batch Production Prediction

(2020) Xuechen Li et al.   Energies

Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)

(2020) Dorian Skrobek et al.   Energies

Modeling the performance of a sorption thermal energy storage reactor using artificial neural networks

(2019) Luca Scapino et al.   APPLIED ENERGY

A General Approach in Optimization of Heat Exchangers by Bio-Inspired Artificial Intelligence Methods

(2019) Jaroslaw Krzywanski   Energies

Evaluation of Heat Transfer Performance of a Multi-Disc Sorption Bed Dedicated for Adsorption Cooling Technology

(2019) Marcin Sosnowski   Energies

Genetic algorithms and neural networks in optimization of sorbent enhanced H 2 production in FB and CFB gasifiers

(2018) Jaroslaw Krzywanski et al.   ENERGY CONVERSION AND MANAGEMENT