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Found 8 papers, 2 papers with code
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
A novel attention mechanism, Gated Dynamic Learnable Attention (GDLAttention), is introduced which integrates a gating mechanism and dynamic learning capabilities.
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
This study presents an innovative approach for predicting cryptocurrency time series, specifically focusing on Bitcoin, Ethereum, and Litecoin.
cycle text2face: cycle text-to-face gan via transformers
The Cycle is completed by reproducing the text of the face in the decoder part of the model.
Decentralized Robust Interval Type-2 Fuzzy Model Predictive Control for Takagi-Sugeno Large-Scale Systems
In this paper, challenges are solved and the MPC is designed for a nonlinear IT2 fuzzy large-scale system with uncertainties and disturbances.
Hierarchical Optimization-Based Model Predictive Control for a Class of Discrete Fuzzy Large-Scale Systems Considering Time-Varying Delays and Disturbances
The considered method is Razumikhin for time-varying delay large-scale systems, in which it includes a Lyapunov function associated with the original non-augmented state space of system dynamics in comparison with the Krasovskii method.
Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization
Text summarization is one of the most critical Natural Language Processing (NLP) tasks.
ParsBERT: Transformer-based Model for Persian Language Understanding
The surge of pre-trained language models has begun a new era in the field of Natural Language Processing (NLP) by allowing us to build powerful language models.
Short-Term Traffic Flow Prediction Using Variational LSTM Networks
The purpose of this research is to suggest a forecasting model for traffic flow by using deep learning techniques based on historical data in the Intelligent Transportation Systems area.
