A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

This repository provides code and tutorials to help participants get started with developing dose prediction models for the GDP-HMM Challenge at AAPM 2025. 🎉 [06/10/2025] The top six solutions have ...

from typing import Self class Grower: child: Self|None def __init__(self, id:int): self.id = id self.child = None def reproduce(self)->Self: self.child = Grower(self ...

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...

A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning. It can be used to describe the evolution of observable events that depend on internal factors, which are not ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...

Fluorescence imaging is a powerful method for monitoring dynamic signals in the nervous system. However, analysis of dynamic fluorescence imaging data remains burdensome, in part due to the shortage ...