Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Kalshi's markets aggregate information from diverse traders with financial incentives, creating a "wisdom of the crowd" ...
Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.
Abstract: The transition of the automotive sector to electric vehicles (EVs) necessitates research on charging demand forecasting for optimal station placement and capacity planning. In the literature ...
Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
How is Aurora different from existing AI models like GraphCast? Aurora differs from existing AI weather models like GraphCast, PanguWeather, and FourcastNet in a few key ways: Generality: While models ...
The Cumulative Value Days Destroyed (CVDD) metric has historically called Bitcoin price cycle lows almost to perfection across every cycle since Bitcoin’s inception. This metric begins with Coin Days ...
Abstract: To enhance the accuracy and stability of wind-farm power forecasting, this study proposes a hybrid framework integrating Variational Mode Decomposition (VMD), an improved Particle Swarm ...
MIAMI — The Atlantic hurricane season, which draws to an official close on Sunday, fulfilled forecasts it would be an active year. There were 13 named storms and three Category 5 hurricanes. But, for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results