NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
来自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, coding process, and practical examples to help you understand how KNN works ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
IEEE

An Improved Nearest Neighbor Algorithm Based on Trajectory-Oriented Estimation

Abstract: In the multi-target tracking scenario, the nearest neighbor(NN) algorithm is the most commonly used method in the track association stage. By setting the tracking gate, the initial screening ...
The New York Times

My Neighbors’ Kids Are Driving Me Crazy! How Do I Get Some Quiet?

Try seeking a resolution that treats each person in the conflict with dignity. By Jill Terreri Ramos Q: Two years ago, my husband and I bought a co-op in Jackson Heights, Queens. Our building and ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
GitHub

knearest-neighbor-algorithm

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...