نمایش نتایج جستجو برای
نویسنده: نظام الحسینی
موارد یافت شده: 15
1 - A Comprehensive Survey on Machine and Deep Learning for Optical Communications (چکیده)2 - Sum rate optimization in STAR-RIS assisted multiuser massive MIMO-OFDM VLC systems (چکیده)
3 - Deep Learning-Based Classification for QoT Estimation in SMF and FMF Links (چکیده)
4 - Deep learning and deep transfer learning-based OPM for FMF systems (چکیده)
5 - Active learning for OPM in FMF systems (چکیده)
6 - Improving MDM–WDM optical network performance via optimized power allocation using Gaussian noise model (چکیده)
7 - Deep Neural Network-Based QoT Estimation for SMF and FMF Links (چکیده)
8 - End-to-end deep learning for joint geometric-probabilistic constellation shaping in FMF system (چکیده)
9 - Meta-ensemble learning for OPM in FMF systems (چکیده)
10 - Optimal power allocation in nonlinear MDM‐WDM systems using Gaussian noise model (چکیده)
11 - Low complexity deep learning algorithms for compensating atmospheric turbulence in the free space optical communication system (چکیده)
12 - Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model (چکیده)
13 - Deep learning based detection technique for FSO communication systems (چکیده)
14 - Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication] (چکیده)
15 - Deep Learning for channel estimation in FSO communication system (چکیده)
