Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
IEEE

Robot path planning based on improved A* algorithm

Abstract: The A* algorithm has been widely employed in the automatic navigation of mobile robots. However, the traditional A* algorithm faces challenges in handling complex environments and ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Optimal Inverse Design Based on Memetic Algorithms—Part II: Examples and Properties

Abstract: Optimal inverse design, including topology optimization and evaluation of fundamental bounds on performance, which was introduced in Part 1, is applied to various antenna design problems. A ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
How-To Geek on MSN

5 powerful Python one-liners that will make you a better coder

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...
GitHub

Python implementation of FLINT algorithm for NMR relaxation data.

This module provides a Python implementation of FLINT, a fast algorithm for estimating 1D/2D NMR relaxation distributions. The algorithm is based on the work of Paul Teal and C. Eccles, who developed ...