Applied Physics · Physics
Machine learning-based Raman amplifier design
D. Zibar, A. Ferrari, V. Curri, A. Carena
2018-11-27
Signal Processing · Electrical Eng. & Systems
Flexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model
Metodi Plamenov Yankov, Francesco Da Ros, Uiara Celine de Moura, Andrea Carena +1
2022-06-16
Signal Processing · Electrical Eng. & Systems
Signal and Backward Raman Pump Power Optimization in Multi-Band Systems Using Fast Power Profile Estimation
Yanchao Jiang, Jad Sarkis, Stefano Piciaccia, Fabrizio Forghieri +1
2025-04-09
Emerging Technologies · Computer Science
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar
2022-12-14
Signal Processing · Electrical Eng. & Systems
An ultra-fast method for gain and noise prediction of Raman amplifiers
Ann Margareth Rosa Brusin, Vittorio Curri, Darko Zibar, Andrea Carena
2019-05-03
Signal Processing · Electrical Eng. & Systems
Inverse design of Raman amplifier in frequency and distance domain using Convolutional Neural Networks
Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar
2021-03-08
Applied Physics · Physics
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning
Uiara Celine de Moura, Ann Margareth Rosa Brusin, Andrea Carena, Darko Zibar +1
2021-03-05
Systems and Control · Electrical Eng. & Systems
Experimental validation of the closed-form GN model accounting for distributed Raman amplification in an S+C+L-band hybrid amplified long-haul transmission system
Jiaqian Yang, Henrique Buglia, Eric Sillekens, Mingming Tan +9
2024-07-18
Signal Processing · Electrical Eng. & Systems
Optimization of Long-Haul C+L+S Systems by means of a Closed Form EGN Model
Y. Jiang, J. Sarkis, A. Nespola, F. Forghieri +4
2024-07-15
Machine Learning · Computer Science
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain
Andre Luiz Farias Novaes, Rui Alexandre de Matos Araujo, Jose Figueiredo, Lucas Aguiar Pavanelli
2021-08-06
Signal Processing · Electrical Eng. & Systems
Noise Reduction Technique for Raman Spectrum using Deep Learning Network
Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam +2
2020-09-10
Signal Processing · Electrical Eng. & Systems
Transfer Learning Guided Noise Reduction for Automatic Modulation Classification
Zelin Ji, Shuo Wang, Kuojun Yang, Qinchuan Zhang +1
2024-11-14
Machine Learning · Computer Science
A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification
Yihao Zhang, Xiaomin Liu, Yichen Liu, Lilin Yi +2
2022-06-28
Applied Physics · Physics
Multi-band programmable gain Raman amplifier
Uiara Celine de Moura, Md Asif Iqbal, Morteza Kamalian, Lukasz Krzczanowicz +6
2021-03-05
Computation and Language · Computer Science
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning
Mohammad Akbar-Tajari, Sara Rajaee, Mohammad Taher Pilehvar
2023-02-23
Machine Learning · Computer Science
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data
Menna Nawar, Moustafa Shomer, Samy Faddel, Huangjie Gong
2023-01-30
Machine Learning · Computer Science
Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar
2022-06-16
Systems and Control · Electrical Eng. & Systems
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
Teng Liu, Wenhao Tan, Xiaolin Tang, Jiaxin Chen +1
2020-07-27
Audio and Speech Processing · Electrical Eng. & Systems
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters
Junyi Peng, Themos Stafylakis, Rongzhi Gu, Oldřich Plchot +3
2022-10-31
Systems and Control · Electrical Eng. & Systems
Transfer Learning for Neural Parameter Estimation applied to Building RC Models
Fabian Raisch, Timo Germann, J. Nathan Kutz, Christoph Goebel +1
2026-04-08
Networking and Internet Architecture · Computer Science
Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data
Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
2020-05-05
Audio and Speech Processing · Electrical Eng. & Systems
Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers
Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti, Mirco Ravanelli
2024-07-16