Fundamental understanding of heat and mass transfer processes for physics-informed machine learning-based drying modelling

MIH Khan, CP Batuwatta-Gamage, MA Karim, YT Gu - Energies, 2022 - mdpi.com
Drying is a complex process of simultaneous heat, mass, and momentum transport
phenomena with continuous phase changes. Numerical modelling is one of the most …

Machine learning exploration of the mobility and environmental assessment of toxic elements in mining-associated solid wastes

C Qi, M Wu, H Liu, Y Liang, X Liu, Z Lin - Journal of Cleaner Production, 2023 - Elsevier
Continuous development of the mining industry has led to the production of large volumes of
solid wastes. Toxic elements (TEs) have been identified in mining-associated solid wastes …

Sentiment classification using attention mechanism and bidirectional long short-term memory network

P Wu, X Li, C Ling, S Ding, S Shen - Applied Soft Computing, 2021 - Elsevier
We propose a sentiment classification method for large scale microblog text based on the
attention mechanism and the bidirectional long short-term memory network (SC-ABiLSTM) …

Shallow convolutional neural network for image classification

F Lei, X Liu, Q Dai, BWK Ling - SN Applied Sciences, 2020 - Springer
Deep convolutional neural networks show great advantages in computer vision tasks, such
as image classification and object detection. However, the networks have complex network …

Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks

F Liu, W Zeng, C Yuan, Q Wang, Y Wang - Artificial Intelligence Review, 2019 - Springer
Hand gestures are spatio-temporal patterns which can be characterized by collections of
spatio-temporal features. Recognition of hand gestures is to find the re-occurrences of such …

An improved LSTM model for behavior recognition of intelligent vehicles

H ** of Handwritten Scanned Documents with Object Detection Algorithm
Aanchal, Nidhi, Preeti, Gurpratap - Procedia Computer Science, 2023 - Elsevier
Automated crop** of handwritten letter fragments with the deep learning-based object
detection algorithms is the current trend with an additional technique for the handling of …