共 50 条
- [1] Nullification of Multiple Correlated Jammers 2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
- [2] Multiple Correlated Jammers Suppression: A Deep Dueling Q-Learning Approach 2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2022, : 998 - 1003
- [4] Early Prediction of Student Performance with LSTM-Based Deep Neural Network 2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 132 - 141
- [5] Detecting and Quantifying Political Bias and Credibility in Written Communications using an LSTM-Based Deep Neural Network AMCIS 2020 PROCEEDINGS, 2020,
- [6] Impact of the learning rate and batch size on NOMA system using LSTM-based deep neural network JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, 2023, 20 (02): : 259 - 268
- [8] Doppler Shift Compensation Using an LSTM-based Deep Neural Network in Underwater Acoustic Communication Systems OCEANS 2023 - LIMERICK, 2023,
- [9] An LSTM-Based Neural Network Architecture for Model Transformations 2019 ACM/IEEE 22ND INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS (MODELS 2019), 2019, : 294 - 299