Abstract: Existing algorithms for estimating the model parameters of an explicit-duration hidden Markov model (HMM) usually require computations as large as O((MD/sup 2/ + M/sup 2/)T) or O(M/sup 2/ DT ...

Abstract: This paper mainly investigates the event-triggered asynchronous control problem for two-dimensional (2-D) Markov jump systems (MJSs) with varying state delays. The asynchronous phenomenon ...

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...

Objectives This study analyses the cost-effectiveness of annual low-dose CT (LDCT) screening of high-risk cancer populations in Chinese urban areas. Design We used a Markov model to evaluate LDCT ...

SaaS vendors are rethinking their pricing models when it comes to AI, moving away from subscriptions and toward usage- or outcome-focused structures.

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

We do not usually find it particularly strange that we are alive. However, if we think about it for a moment, the very existence of living organisms is a remarkable phenomenon. There is a tendency in ...

The Global Financial Stability Report provides semiannual assessments of global financial markets and addresses emerging market financing in a global context.* ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

Pavan Subramani started doing molecular dynamics simulations for computational drug discovery alongside his high school coursework, sparking an interest in a STEM career.