Results 231 to 240 of about 204,882 (322)
Option Pricing under Stochastic Volatility and Trading Volume [PDF]
Sadayuki Ono
openalex +1 more source
BDLUT: Blind image denoising with hardware‐optimized look‐up tables
BDLUT(‐D) is a novel blind denoising method combining optimized lookup tables (LUTs) with hardware‐centric design. While BDLUT describes the LUT‐based network architecture, BDLUT‐D represents BDLUT trained with a specialized noise degradation model. Designed for edge deployment, BDLUT(‐D) eliminates neural processing units (NPUs) and functions as a ...
Boyu Li+9 more
wiley +1 more source
On the connection between financial processes with stochastic volatility and nonextensive statistical mechanics [PDF]
Sı́lvio M. Duarte Queirós+1 more
openalex +1 more source
Orbital Angular Momentum Holography Using Neural Network and Camera in the Loop
Neural network and optimization‐based approaches are introduced for Orbital Angular Momentum (OAM) multiplexed holography, enabling high‐capacity, phase‐only image reconstruction. A Camera‐In‐The‐Loop (CITL) system learns a realistic propagation model to correct system imperfections.
Nima Asoudegi, Mo Mojahedi
wiley +1 more source
Human intracranial high-frequency activity during memory processing: neural oscillations or stochastic volatility? [PDF]
Burke JF, Ramayya AG, Kahana MJ.
europepmc +1 more source
Golden Vaterite as a Thermo‐Optical Agent
Thermo‐optical therapeutic approaches offer new capabilities in targeted drug delivery, cancer therapy, and tissue engineering applications. The thermo‐optical characteristics of a mesoporous calcium carbonate loaded with gold nanoparticles are explored, thereby forming a metamaterial capsule. Auxiliary optomechanical tools enable efficient prototyping
Andrei Ushkov+4 more
wiley +1 more source
Empirical Study on Fluctuation Theorem for Volatility Cascade Processes in Stock Markets. [PDF]
Maskawa JI.
europepmc +1 more source
Stochastic Volatility and GARCH: a Comparison Based on UK Stock Data [PDF]
Chiara Pederzoli
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THREE PRINCIPLES FOR LEADERS IN THE AGE OF AI
Abstract The author, Distinguished Professor at the D’Amore‐McKim School of Business at Northeastern University, writes about smart and productive ways leaders can think about and apply generative AI/artificial intelligence. Rather than the common fear of replacing humans with AI, she foresees “augmenting human activity with AI.” She contends that ...
Nada R. Sanders
wiley +1 more source