IEEE

Fast and Expandable ANN-Based Compact Model and Parameter Extraction for Emerging Transistors

Abstract: In this paper, we present a fast and expandable artificial neural network (ANN)-based compact model and parameter extraction flow to replace the existing complicated compact model ...
GitHub

Find all parameters and generate a custom target parameter wordlist

FallParams meticulously analyzes website links to craft targeted parameter wordlists, fueling efficient bug hunting and vulnerability discovery. It accepts a list of URLs as input, expertly scanning ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
IEEE

Parameter Transfer Identification for Nonidentical Dynamic Systems Using Variational Inference

Abstract: To identify a reliable model for a dynamic system with nonideal measurements, this article develops a novel parameter transfer identification (PTI) algorithm that leverages the knowledge ...
GitHub

Hansen Solubility Parameters in Python.

HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...