Deep Learning with Yacine on MSN

Understanding Caesar cipher in Python — encode and decode text easily

Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
eLife

A default silencing mechanism restrains stress-induced genes in C. elegans

This valuable study identifies a novel regulator of stress-induced gene quiescence in C. elegans: the multi-Zinc-finger protein ZNF-236. The work provides evidence for an active mechanism that ...
IEEE

A Topological-Indicators-Based k-Means Clustering Algorithm and Its Application in Time Series Data: A Case Study on Sea Level Variability in Peninsular Malaysia

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
techannouncer

Downloadable LeetCode Python PDF: Essential Solutions and Practice

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.
Frontiers

Efficient vegetation filtering method using K-means clustering algorithm: case study of high steep rock slope

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...
Frontiers

Automatic detection and classification of igneous rock fractures from imaging logging using K-mean algorithm and DNN

Accurately identifying fracture zones and their types in strata is of great significance for enhancing oil and gas recovery efficiency. Due to its complicated geological structure and long-term ...
Medicine Buffalo

Summer graduate Courses

Summer short courses are designed to enhance the elective offerings available to IAD students, and for students in related programs at UB. These ‘bite-size’ courses are designed to: Equip students ...
Scientific Research Publishing

Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes ()

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...
IEEE

An Improved K-Means Radar Signal Pre-selection Method

Abstract: The K-Means algorithm has a wide range of applications in radar signal pre-selection. Its traditional algorithm is highly dependent on the number of clusters and the initial setting of ...