Results 71 to 80 of about 5,135 (265)
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
The cysteine redox state of the Hendra virus W (WHeV) protein controls assembly into fibrils or amorphous aggregates, with residues 2–29 required for fibrillation. In cells, WHeV forms different types of nuclear condensates. Impaired ability to form redox‐sensitive, non‐filamentous condensates reduces WHeV inhibition of the NF‐κB pathway, while it ...
Frank Gondelaud +12 more
wiley +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Turbo Warrants under Hybrid Stochastic and Local Volatility
This paper considers the pricing of turbo warrants under a hybrid stochastic and local volatility model. The model consists of the constant elasticity of variance model incorporated by a fast fluctuating Ornstein-Uhlenbeck process for stochastic ...
Min-Ku Lee +3 more
doaj +1 more source
Stochastic Volatility Models with Skewness Selection
This paper expands traditional stochastic volatility models by allowing for time-varying skewness without imposing it. While dynamic asymmetry may capture the likely direction of future asset returns, it comes at the risk of leading to overparameterization.
Martins, Igor, Freitas Lopes, Hedibert
openaire +5 more sources
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
This paper presents an extension of double Heston stochastic volatility model by incorporating stochastic interest rates and derives explicit solutions for the prices of the continuously monitored fixed and floating strike geometric Asian options.
Yanhong Zhong, Guohe Deng
doaj +1 more source
A Bayesian analysis based on multivariate stochastic volatility model: evidence from green stocks. [PDF]
Ma M, Zhang J.
europepmc +1 more source
ICA and stochastic volatility models
PLENARY ...
Taskinen Sara +4 more
openaire +4 more sources

