Wideband Remote-Sensing Based on Random Fiber Laser

Interrogating a remote passive-sensor with high fidelity is one of the biggest challenges in the sensing domain. Recently, random fiber laser (RFL) combined with remote fiber sensors was proposed f…

Deep Reinforcement Learning-Based Policy for Baseband Function Placement and …

In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. In order to explore the performance of the propo…

Proof-of-Concept of the Time and Spectral Optical Aggregation Network

In this article, we present the proof of concept (PoC) of the time and spectral optical aggregation (TISA) approach that allows a better filling of the time and spectral resources of an optical tra…

Information Content of Aggregate Implied Volatility Spread

175-km Repeaterless BOTDA With Hybrid High-Order Random Fiber Laser Amplifica…

High-order random fiber laser amplification (RFLA) is an effective way for realization of ultralong optical transmission and sensing. However, potential issues such as modulation instability (MI) a…

Forecast accuracy uncertainty and momentum

Image Inpainting from Partial Noisy Data by Directional Complex Tight Framelets

Optimal learning in linear regression with combinatorial feature selection

Cultivating disaster donors using data analytics

Captain huyer and the massive Japanese arms transfer in East Java in October …