Delivery of Polarization-Division-Multiplexing Wireless Millimeter-Wave Signa…
We proposed and established a large-capacity, long-distance wireless millimeter-wave (mm-wave) signal delivery system at W-band based on photonics-aided mm-wave generation technology, polarization-…
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 …
A Contribution to the Development of High-Voltage dc Circuit Breaker Technolo…
To promote the integration of renewable energy resources into modern energy systems, high-voltage dc (HVdc) and circuit breaker (CB) technologies have become critical to achieving secure and effici…
A Casino Gambling Model Under Cumulative Prospect Theory: Analysis and Algorithm
We develop an approach to solve the Barberis casino gambling model [Barberis N (2012) A model of casino gambling. Management Sci. 58(1):35–51] in which a gambler whose preferences are specified b…
Performance Enhancement of W-Band RoF System Using 4D Trellis Coded Modulatio…
In the paper, a four-dimensional trellis-coded modulation 16-quadrature amplitude modulation-orthogonal frequency division multiplexing (4D TCM 16QAM-OFDM) combined with precoding scheme is propose…
Instantaneous Frequency Measurement With Full FSR Range and Optimized Estimat…
A photonic-assisted approach for instantaneous frequency measurement (IFM) based on a 1×4 Mach–Zehnder interferometer (MZI) structure is proposed and experimentally demonstrated. In this IFM met…
Bayesian Distributionally Robust Optimization
We introduce a new framework, Bayesian distributionally robust optimization (Bayesian-DRO), for data-driven stochastic optimization where the underlying distribution is unknown. Bayesian-DRO contra…
Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex C…
In this paper we consider a class of convex conic programming. In particular, we first propose an inexact augmented Lagrangian (I-AL) method that resembles the classical I-AL method for solving thi…
Diagnose Like a Radiologist : Hybrid Neuro-Probabilistic Reasoning for Attrib…
During clinical practice, radiologists often use attributes, e.g., morphological and appearance characteristics of a lesion, to aid disease diagnosis. Effectively modeling attributes as well as all…
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonco…
In this work, we analyze the global convergence property of a coordinate gradient descent with random choice of coordinates and stepsizes for nonconvex optimization problems. Under generic assumpti…
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