LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Some types of predictive analytics software use machine learning to revise algorithms based on learnings from the data collected over time, continuously improving prediction accuracy.

Learn how to document data structures and algorithms effectively, using common tools and techniques, in this system development article.

Amharic E-commerce Data Extractor This repository contains the code and deliverables for the B5W4 Challenge: Building an Amharic E-commerce Data Extractor for EthioMart. The goal is to develop a ...

Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...

Amharic E-commerce Data Extractor. Contribute to michaWorku/amharic-ecommerce-data-extractor development by creating an account on GitHub.

The need for data protection in national critical information infrastructure units has become more and more urgent with the deepening of digital transformation. At present, the rapid development of ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the ...