Results 81 to 90 of about 46,518,871 (255)
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Measuring financial risk : comparison of alternative procedures to estimate VaR and ES [PDF]
We review several procedures for estimating and backtesting two of the most important measures of risk, the Value at Risk (VaR) and the Expected Shortfall (ES).
Esther Ruiz, Maria Rosa Nieto
core
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Machine learning-based price forecasting and risk management in renewable energy markets
The rising share of renewable energy has amplified electricity price volatility, underscoring the need for accurate forecasting and robust risk management.
Kuochun Lin, Peichun Feng
doaj +1 more source
Examining the Relationship between Diversification of Banking Resources and Expenses and Systemic Risk [PDF]
The purpose of this article was to investigate the relationship between the diversification of banking resources and expenses with systemic risk in the country's banking system.
Yazdan Gudarzi Farahani +2 more
doaj +1 more source
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Exact inference in diagnosing value-at-risk estimates: A Monte Carlo device [PDF]
In this note a Monte Carlo approach is suggested to determine critical values for diagnostic tests of Value-at-Risk models that rely on binary random variables. Monte Carlo testing offers exact significance levels in finite samples.
Herwartz, Helmut
core
We extend the “probability-equivalent level of VaR and CoVaR” (PELCoV) methodology to accommodate bivariate risks modeled by a Student-t copula, relaxing the strict stochastic increasing (SSI) condition assumed in earlier approaches and enhancing the ...
Flores-Silva Daniela I. +2 more
doaj +1 more source
Trading risk control model of electricity retailers in multi‐level power market of China
The decision‐making and risk assessment of electricity purchase and sales is the key to adapt to the electricity market for independent electricity retailers in China.
Xiaobao Yu, Yixin Sun
doaj +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source

