Explore how text mining and NLP help analyze procurement documents, from sustainability trends to risk and contract analysis, in simple terms.

Step-by-step guide to building a practical home lab with Docker, Grafana, Cloudflare, and backup solutions for tech learning and AI research.

12/23/2024: Top 5 stories on the HackerNoon homepage!

With advancements like the Starlink Mini, users can access internet speeds of up to 150 Mbps for just TOP 201 a month.

New study explores the impact of text mining and NLP in legal, e-commerce, and construction, revealing key industry applications and challenges.

Backlinks are the most important factor when it comes to increasing your website’s ranking on Google.

Luck isn't something you get. Luck is something that happens to you.

Sega promises to return Virtua Fighter to the fighting game space.

Stateless founders are redefining entrepreneurship. Insights from f27.club Lisbon reveal how AI, decentralized tools, and trust build thriving global startups.

This week, HackerNoon showcases Moonlock, MacPaw's cybersecurity division that is dedicated to keeping your Macs safe.

Discover how Pollo AI simplifies AI hug video creation with its user-friendly tools and powerful features to help boost your social media engagement.

Periodic SqlServer database maintenance steps, like 1)updating statistics; and 2)defragment indexes can contribute to query performance.

November saw the latest stable version of React, Boa's latest performance leaps, and tools that will make your development workflow smoother.

Discover how ScyllaDB, led by CEO Dor Laor, is transforming data management with unparalleled scalability, speed, and innovation in a data-driven world.

ClassBD demonstrates superior performance in bearing fault diagnosis on the PU dataset, outperforming competitors under various noise levels.

New experiments test the ClassBD framework for bearing fault diagnosis under noisy conditions, showcasing superior performance over baseline models

New research demonstrates a multi-task learning approach for fault diagnosis.

New research explores the use of Fourier neural networks as frequency domain filters, highlighting their effectiveness in fault diagnosis through.

Researchers demonstrate how QCNNs excel in cyclic feature extraction for bearing fault signals by leveraging autocorrelation and noise cancellation techniques.

Researchers propose a time-domain quadratic convolutional filter (QCNN) with a novel initialization strategy.

Researchers introduce a novel framework utilizing time and frequency domain filters with quadratic convolutional neural networks to optimize signal recovery.