Researchers from Chiba University have developed a lightweight peer-selection algorithm that significantly reduces data propagation delays without increasing resource usage on internet of things (IoT) ...

What if you could predict the future, not with a crystal ball, but with math? In this guide, Veritasium explains how a 120-year-old concept called Markov chains has become a silent force shaping ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Python is everywhere in modern software. From machine learning models to production microservices, chances are your code—and your business—depends on Python packages you didn't write. But in 2025, ...

Water catchment areas are the key strategic water sources with a variety of ecological benefits. However, the trajectory of Land Cover and Land Use Changes (LULC-C change poses a significant threat to ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

ABSTRACT: Forests are facing several challenges related to forest deforestation mostly due to the actions of man. The study used a CA-Markov model to examine land use/land cover dynamics from 1986 to ...

ABSTRACT: In this paper, a low-dose CT denoising method based on L 1 / L 2 regularization method of Markov chain Monte Carlo is studied. Firstly, the mathematical model and regularization method of ...

The popular Ultralytics YOLO11 AI model was compromised in a supply chain attack to deploy cryptominers on devices running versions 8.3.41 and 8.3.42 from the Python Package Index (PyPI) Ultralytics ...

Abstract: Hybrid operator splitting (HOS) and uniformization (UNI) algorithms with fixed time steps have been proposed to enhance computing performance and stability for Markov chain model in cardiac ...