On-schedule traveler who gets wherever needed in any given scenario. A bit tight-ankled but generally quick-footed. Excels at climbing and engaging in space at the second level.

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025.

This paper proposes a short-term air-conditioning load forecasting model of multi-scenario building based on Tuna Swarm Optimization (TSO) algorithm and long short-term memory network (LSTM). The ...

We propose a novel multiple rapidly-exploring random trees (RRT) based algorithm designed specifically for dual crane systems to produce lifting paths, particularly in challenging ‘narrow path finding ...

Scenario reduction algorithms for stochastic programming. Python implementation of the simultaneous backward reduction and fast forward selection scenario reduction techniques for stochastic ...

Learn about some of the most effective methods for simulating real-world scenarios with algorithms, such as agent-based modeling, Monte Carlo methods, cellular automata, discrete-event simulation ...

They are: (i) the probability of default of the borrower (PD); (ii) its “loss given default”, ie, the percentage of a loan that is actually lost, after accounting for all recoveries on the defaulted ...