no code implementations • 16 Mar 2024 • Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri, Hanieh Ajami
A novel attention mechanism, Gated Dynamic Learnable Attention (GDLAttention), is introduced which integrates a gating mechanism and dynamic learning capabilities.
no code implementations • 6 Mar 2024 • Mohammad Ali Labbaf Khaniki, Mohammad Manthouri
This study presents an innovative approach for predicting cryptocurrency time series, specifically focusing on Bitcoin, Ethereum, and Litecoin.
no code implementations • 9 Jun 2022 • Faezeh Gholamrezaie, Mohammad Manthouri
The Cycle is completed by reproducing the text of the face in the decoder part of the model.
no code implementations • 31 Aug 2021 • Mohammad Sarbaz, Iman Zamani, Mohammad Manthouri, Asier Ibeas
In this paper, challenges are solved and the MPC is designed for a nonlinear IT2 fuzzy large-scale system with uncertainties and disturbances.
no code implementations • 25 Aug 2021 • Mohammad Sarbaz, Iman Zamani, Mohammad Manthouri, Asier Ibeas
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.
1 code implementation • 21 Dec 2020 • Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri
Text summarization is one of the most critical Natural Language Processing (NLP) tasks.
3 code implementations • 26 May 2020 • Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri
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.
no code implementations • 18 Feb 2020 • Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri, Okyay Kaynak
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.