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

Translating Federated Learning Algorithms in Python into CSP Processes Using ChatGPT

Abstract: The Python Testbed for Federated Learning Algorithms is a simple Python FL framework that is easy to use by ML&AI developers who do not need to be professional programmers and is also ...
GitHub

Python Selection Sort Algorithm pass without swap

This camper was able to pass the tests but their algorithm didn't perform a swap of the smallest element and the first unsorted element. def selection_sort(items ...
Scientific Research Publishing

Lessmann, S., Baesens, B., Seow, H., & Thomas, L. C. (2015). Benchmarking State-of-the-Art Classification Algorithms for Credit Scoring: An Update of Research. European Journal ...

ABSTRACT: This paper deals with three traditional measures of concentration: (Corrado) Gini coefficient, adjusted Gini coefficient, and AUC. These metrics are popular methods in assessing the ...
Hosted on MSN

Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...
Scientific Research Publishing

Deepthi and Thomas, T. (2020) Spectral Similarity Algorithm-Based Image Classification for Oil Spill Mapping of Hyperspectral Datasets. Journal of Spectral Imaging, 9, a14.

ABSTRACT: The environmental impacts caused by frequent oil spills along the Congolese coast pose a significant concern. The main objective of this work is to study the dynamics of coastal pollution ...
GitHub

thomas-cormen

Implementations of Data Structures and Algorithms. Inspired from the Design and Analysis of Algorithms course from 3rd year, B Tech, CSE, Amrita Vishwa Vidyapeetham, Coimbatore taught by Dr. Vidya ...