Abstract: Constrained consensus formation tracking of autonomous underwater vehicle (AUV) networks is a challenging problem to solve, especially when the networks are possibly subject to nonuniform, ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

When WarnerMedia and Discovery Inc. merged back in 2022, the rationale was that the combination would put the companies in a better position to compete against Netflix, Disney and others that were ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

We are standing on the cusp of a new technological revolution. AI is increasingly permeating every aspect of our lives, with intelligent machines transforming the way we live and work. The potential ...

Linear inequalities are an essential component of algebra. They involve variables, constants, and inequality signs, depicting a range of solutions rather than one specific solution like an equation ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

Vehicle routing problems are a class of NP-hard combinatorial optimization problems which attract a lot of attention, as they have many practical applications. In recent years there have been new ...

Abstract: The H ∞ consensus problem of homogeneous linear time invariant (LTI) multi-agent systems with a fixed directed communication network graph is studied in this paper. A design technique is ...

NEW YORK - AUGUST 14: People shop at a Fairway grocery store August 14, 2008 in the Brooklyn borough of New York City. A new government report has shown that U.S. inflation has risen to a 17-year-high ...