There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...

optimization techniques are applied to optimize the robot trajectory for a 3R robotic arm. The considered problem presents the multi-objective optimization with the objective to plan a trajectory ...

The complexity of this task is heightened by the fact that different providers offer varying call prices and quality levels, making optimization and efficient ... we propose a system that leverages ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

It used to have 409 english books (it took about 4 hours to complete the download ~ 14 GB, both PDF and EPUB, on my machine), but Springer has since removed some of them from the open access. This ...

This repository contains Python implementations of common unconstrained optimization algorithms: Steepest Descent and Newton's Method, along with several variants. The algorithms are tested on ...

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years ...

This book explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic problems are defined in a simple and ...

May 26, 2025 • Food apps can help you figure out what's in your food and whether it's nutritious. Just scan the barcode on the packet with your phone. But different apps can give very different ...