Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...
Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
RPA and NBCUniversal Launch First Ever Cross-Platform Agentic Media Buy Powered by FreeWheel, NBCUniversal, and Newton’s AI Technology. Newton, NBCUniversal, and FreeWheel’s agents orchestrate ...
During femtosecond laser fabrication, photons are mainly absorbed by electrons, and the subsequent energy transfer from electrons to ions is of picosecond order. Hence, lattice motion is negligible ...
Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...
Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
Abstract: Since the space domain becomes increasingly important for modern military operations, real-time data and context driven knowledge need to be accounted in their execution. At the same time, ...
In this paper, a quantitative evaluation model based on the Analytic Hierarchy Process (AHP) is constructed to addresses the issues of ambiguous evaluation criteria and strong subjectivity in the ...
Separate reports from two federal oversight bodies warn that the IRS may struggle to maintain service levels between now and April 15, possibly causing delays in tax refunds and in getting answers by ...
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