A data-aware explainable deep learning approach for next activity prediction

L Aversano, ML Bernardi, M Cimitile… - … Applications of Artificial …, 2023 - Elsevier
The prediction of the next activity in a business process can be very useful in revealing
inefficiencies and take decisions to avoid undesired activities. In this direction, further …

A Hybrid Deep Learning Prediction Method of Remaining Useful Life for Rolling Bearings Using Multiscale Stacking Deep Residual Shrinkage Network

X Song, Q Zhang, R Sun, R Tian, J Sun… - … Journal of Intelligent …, 2023 - Wiley Online Library
The vibration signal is easily interfered by noise due to the influence of environment and
other factors, which can lead to the poor adaptability, low accuracy of remaining useful life …

Deep learning-based sequential models for multi-user detection with M-PSK for downlink NOMA wireless communication systems

B Panda, P Singh - Annals of Telecommunications, 2023 - Springer
Non-orthogonal multiple access (NOMA) techniques have the potential to achieve large
connectivity requirements for future-generation wireless communication. NOMA detection …

Air Pollution Prediction Using Long Short-Term Memory Variants

A Rahmadeyan, Mustakim, M Erkamim, I Ahmad… - … Conference of Reliable …, 2023 - Springer
Air pollution is an unresolved environmental problem that poses a health threat in many
countries. Nearly 90% of the global population is exposed to polluted air that exceeds …

Check for updates Air Pollution Prediction Using Long Short-Term

S Aziz - Advances in Intelligent Computing Techniques and … - books.google.com
Air pollution is an unresolved environmental problem that poses a health threat in many
countries. Nearly 90% of the global population is exposed to polluted air that exceeds …