Underwater Acoustic Wave Detection Based on Packaged Optical Microbubble Reso…
We demonstrate an optical underwater acoustic sensor with high sensitivity and broad bandwidth (10 Hz to 100 kHz), based on the packaged optical microbubble whispering gallery mode resonator, for t…
Reflective-Type High Sensitivity Optical Fiber Hydrogen Sensor Based On Enlar…
Highly sensitive reflective-type fiber hydrogen sensor based on an enlarged taper cascaded with a tilted fiber grating (TFBG) was proposed. Hydrogen-sensitive Au-Pd nanofilm was coated on the TFBG …
Finding the Least Element of a Nonnegative Solution Set of a Class of Polynom…
In this paper, we consider the least element problem of a nonnegative solution set of a system of inequalities defined by a homogeneous polynomial mapping and a vector. In the set under considerati…
Tuning Dynamics of the Acousto-Optical Tunable SOA Fiber Laser
Acoustically-induced fiber gratings (AIFGs) can be employed as the main device to achieve wide-range, time-linear, and fast wavelength tunability of various lasers, due to their fast spectral respo…
Thermal Characteristics of GHz Passively Mode-Locked Semiconductor Disk Laser
A 1.3 GHz repetition rate optically pumped passively mode-locked semiconductor disk laser with 5.5 ps pulse duration and 204 mW average output power at 978 nm wavelength was demonstrated. Main fact…
Spectral and Repetition Rate Programmable Fiber Laser
We have demonstrated a spectral and repetition rate programmable Yb-doped fiber laser (YDFL) employing an acousto-optic tunable filter (AOTF) as both the intra-cavity spectral filter and temporal m…
Hybrid Method for Inverse Design of Orbital Angular Momentum Transmission Fib…
A hybrid method of combining Neural Networks (NNs) and optimization algorithms is proposed for the inverse design of orbital angular momentum (OAM) transmission fiber with high efficiency and preci…
Algorithmic Transparency with Strategic Users
Should firms that apply machine learning algorithms in their decision making make their algorithms transparent to the users they affect? Despite the growing calls for algorithmic transparency, most…
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized F…
Policy optimization, which learns the policy of interest by maximizing the value function via large-scale optimization techniques, lies at the heart of modern reinforcement learning (RL). In additi…
Meta-Wrapper : Differentiable Wrapping Operator for User Interest Selection i…
Click-through rate (CTR) prediction, whose goal is to predict the probability of the user to click on an item, has become increasingly significant in the recommender systems. Recently, some deep le…
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