Proposes a Logistic-Exponential precursor model coupled with trust calibration (trust as inverse accident probability) for dynamic risk perception in humanoid robots, supported by analysis of 126 events and a simulation case study.
Reviewing Human- Robot Collaboration in Manufacturing: Opportunities and Challenges in the Context of Industry 5.0,
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Uses EGARCH for historical volatility, SARIMAX with meteorological regressors for forecasts under SSP2-4.5 and SSP5-8.5, and Black-Scholes to price climate-linked put options for farmers in India and US regions.
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Mitigating Financial Risk from Climate-Induced Agricultural Price Volatility
Uses EGARCH for historical volatility, SARIMAX with meteorological regressors for forecasts under SSP2-4.5 and SSP5-8.5, and Black-Scholes to price climate-linked put options for farmers in India and US regions.