Plenty of high earners are not founders, influencers, or coders but people in routine, rules-driven roles that quietly keep ...

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 ...

Association of paleopalynological data from the Nanxiong Basin, south China, and late Paleocene niche expansion in endemic Asian fossil mammals.

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

German software company PVRadar Labs has released a Python programming toolbox for industry practitioners that are building site-specific models. The package provides a shortcut to to customize yield ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Whether they’re gracing the catwalks of Milan, the glossy pages of Vogue, or your everyday Instagram feed, models like Gigi Hadid, Winnie Harlow, and Ulisses Jr. have turned striking poses into ...