Results 71 to 80 of about 204,882 (322)

RETRACTED: Artificial intelligence for emergency medical care

Health Care Science, EarlyView., 2023
‘Applications of artificial intelligence in emergency medical service’. Abstract There is increasing research into the potential benefits of incorporating artificial intelligence (AI) and machine learning algorithms into emergency medical services. AI is finding new applications across a wide range of sectors, one of which is healthcare, where it is ...
Shivam Rajput, Pramod Kumar Sharma, Rishabha Malviya   +2 more
wiley   +1 more source

Computations of Greeks in stochastic volatility models via the Malliavin calculus [PDF]

arXiv, 2009
We compute Greeks for stochastic volatility models driven by Brownian informations. We use the Malliavin method introduced for deterministic volatility models.
arxiv  

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

Advanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +5 more
wiley   +1 more source

A Review of Volatility and Option Pricing [PDF]

arXiv, 2009
The literature on volatility modelling and option pricing is a large and diverse area due to its importance and applications. This paper provides a review of the most significant volatility models and option pricing methods, beginning with constant volatility models up to stochastic volatility. We also survey less commonly known models e.g.
arxiv  

Resilient and Flexible Electrohydrodynamics Pumps for Human–Machine Interfaces

Advanced Science, EarlyView.
This study introduces resilient and flexible electrohydrodynamic (EHD) pumps designed to enhance human–machine interfaces. These pumps are both quiet and compact, featuring a unique electrode configuration that overcomes the typical limitations associated with dielectric breakdowns and subsequent permanent failures.
Yu Kuwajima, Amr Marzuq, Soraya Segawa, Yuya Yamaguchi, Yuhei Yamada, Takafumi Morita, Katrene Morozov, Haruto Iwasaki, Sota Suzuki, Hiroyuki Nabae, Vito Cacucciolo, Naoki Hosoya, Yasuaki Kakehi, Shingo Maeda   +13 more
wiley   +1 more source

Pricing Parisian Option under a Stochastic Volatility Model

Journal of Applied Mathematics, 2014
We study the pricing of a Parisian option under a stochastic volatility model. Based on the manipulation problem that barrier options might create near barriers, the Parisian option has been designed as an extended barrier option. A stochastic volatility
Min-Ku Lee, Kyu-Hwan Jang
doaj   +1 more source

All‐Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi‐State Memory with Quantization for Efficient Neural Networks

Advanced Science, EarlyView.
This study develops three all‐electrically controlled, field‐free spintronic synapse devices for neuromorphic computing. The tilted anisotropy device achieves an 11‐state memory with minimal cycle‐to‐cycle variation (2%), enabling high‐accuracy neural network quantization (81.51% in ResNet‐18). These findings position spintronic synapses as a promising
Tzu‐Chuan Hsin, Chun‐Yi Lin, Po‐Chuan Wang, Chun Yang, Chi‐Feng Pai   +4 more
wiley   +1 more source

Variance and Interest Rate Risk in Unit-Linked Insurance Policies

Risks, 2020
One of the risks derived from selling long-term policies that any insurance company has arises from interest rates. In this paper, we consider a general class of stochastic volatility models written in forward variance form.
David Baños, Marc Lagunas-Merino, Salvador Ortiz-Latorre   +2 more
doaj   +1 more source

Sequential Bayesian Learning for Merton's Jump Model with Stochastic Volatility [PDF]

arXiv, 2016
Jump stochastic volatility models are central to financial econometrics for volatility forecasting, portfolio risk management, and derivatives pricing. Markov Chain Monte Carlo (MCMC) algorithms are computationally unfeasible for the sequential learning of volatility state variables and parameters, whereby the investor must update all posterior and ...
arxiv  

Hybrid Series of Carbon‐Vacancy Electrodes for Multi Chemical Vapors Diagnosis Using a Residual Multi‐Task Model

Advanced Science, EarlyView.
This study presents a graphene oxide‐based gas sensor array integrated with a deep learning framework for precise detection and classification of multiple gases. By combining advanced sensing materials and a 1D‐ResNet architecture, the system achieves high sensitivity and accuracy, demonstrating its potential for real‐time environmental monitoring ...
Tianci Liu, Yun Ji Hwang, Lu Zhang, Jongwoo Hong, Teajong Hwang, Seong Chan Jun   +5 more
wiley   +1 more source