Abstract: This article addresses the consensus problem of a class of unknown nonlinear multiagent systems (MASs) under directed graphs via a novel model-free deep reinforcement learning (DRL) based ...

The financial crime compliance industry has spent two decades building better detection. Transaction monitoring rules have ...

From smarter hypothesis testing with e-values to AI systems that model emotions, Bayesian methods and probabilistic reasoning are transforming how machines—and humans—make decisions under uncertainty.

HIV-1 envelope glycoprotein (Env), a gp120–gp41 trimer, undergoes coordinated conformational changes that drive membrane fusion and allow immune evasion by transiently concealing ...

Discover how marginal revenue impacts business decisions, including its formula, relationship with costs, along with how it ...

Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...

This paper proposes a directed graph filter bank for predicting river water level distributions using time-delay dynamic mode decomposition (tdDMD) and sparse modeling. The previously proposed ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Change Log – Tracks updates and modifications. The Task – General project description and requirements. Definitions – Key terms and structures used in the implementation. Constructors – Methods for ...