Last month, Nielsen introduced its new "Big Data + Panel" measurement, which combines ratings data from traditional households with statistics from smart TVs and set-top boxes. Nielsen's new system ...

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Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Write code in the corresponding src/ file for each programming task. Do not change file names — tests depend on them. Commit and push your changes to GitHub. Questions (Do not use conditionals or ...

Longevity, measured by cohort life expectancy, has risen steadily in high-income countries since the early 1900s, raising expectations that this trend will continue. However, whether these gains will ...

Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...

Automated assignment in unified routing enables organizations to efficiently direct customer queries to the most suitable service representatives. To ensure swift response to customers, organizations ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...