Abstract: This paper studies a distributed resource allocation problem for a multiagent network with a time-varying digraph. Each agent in the network is associated with a local variable (resource) ...

Abstract: This article introduces an innovative distributed algorithm tailored for achieving predefined-time convergence in addressing time-varying resource allocation problem under directed networks.

The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...

CES 2023 in Las Vegas assembled over 3,200 exhibitors, including 1,000 startups, with a notable surge in agricultural ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Spread the love“`html In today’s competitive landscape, production capacity management is a cornerstone of efficient operations for any manufacturing or service-oriented business. Understanding how to ...

Morningstar Wealth recently announced it is partnering with Apollo Global Management, Franklin Resources, and J.P. Morgan Asset Management to launch the Morningstar Public/Private Select Series, a ...

Spread the love“`html Sales forecasting in CRM is not just a buzzword; it’s an indispensable practice for businesses aiming to grow sustainably and effectively. As markets evolve and customer needs ...

The IRS has fundamentally changed how it enforces tax compliance. As of June 2025, the agency operates 126 active AI use cases, up from just 10 in August 2022, spanning audit sele ...

When disaster strikes, swift and accurate damage assessment becomes a matter of life and death. Traditional ground surveys, although reliable, are often hampered by inaccessible roads, ongoing hazards ...

In our last post, we covered the trials and tribulations of companies that treat confidential information the same as trade ...