Generative artificial intelligence is rapidly entering industrial manufacturing systems, promising real-time optimization, predictive maintenance, and adaptive production workflows. However, a new ...

We talk endlessly about ‘technical debt’ — the accumulated cost of past shortcuts, and delayed upgrades. But a more insidious problem is emerging that few organizations recognize — forward-looking ...

Abstract: Profile Hidden Markov Models are used as a popular tool in bioinformatics research and a regular task is to compare a set of protein sequences with a database of models according to ...

Introduction: Prospective memory (PM)—the ability to form, maintain, and execute delayed intentions—is essential for everyday functioning. Traditionally, PM paradigms relied on repetitive tasks and ...

ABSTRACT: Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT ...

Artificial Intelligence has moved from the periphery of banking to its core. Credit decisions, fraud detection, risk scoring, collections, customer service, and even regulatory reporting now rely on ...

Citation Please cite as: Leaning IE, Costanzo A, Jagesar R, Reus LM, Visser PJ, Kas MJH, Beckmann CF, Ruhé HG, Marquand AF Correction: Uncovering Social States in Healthy and Clinical Populations ...

Pipeline-based market regime detection using Hidden Markov Models for quantitative finance. Hidden Regime is a Python package for detecting and analyzing market regimes using Hidden Markov Models ...

📄 Please read the official article for more information about this open source software: Open source map matching with Markov decision processes: A new method and ...