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 ...

Everybody is about algorithmic processes and feed manipulation, but is that really new? What if the algorithm powering your Google search results and the predictive text on your phone originated from ...

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 ...

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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 ...

Chain of Agents: Large language models collaborating on long-context tasks (Google Research Blog) Chain of Agents Paper (Research Paper) The Chain of Agents framework enables efficient processing of ...