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Python physics lesson 18: Learning numerical integration

Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...
IEEE

Deep Carbonate Reservoir Hydrocarbon Detection Using Multiseismic Features Constrained Unsupervised Machine Learning

Abstract: Reservoir hydrocarbon detection is of great interest for reservoir characterization and quality assessment. However, deep carbonate reservoirs exhibit weak seismic response features, making ...
FinanceFeeds

Top Open Source Crypto Trading Software for Automated Strategies

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...
IEEE

Unsupervised Deep Learning for DAS-VSP Denoising Using Attention-Based Deep Image Prior

Abstract: Distributed acoustic sensing (DAS) has emerged as a widely used technology in various applications, including borehole microseismic monitoring, active source exploration, and ambient noise ...
TechAnnouncer

Discover the Best Python Book PDF for Your Learning Journey

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Deep Origin Congratulates Isomorphic Labs on Catching Up

We are glad that Isomorphic is helping advance the field and are able to match the level of performance we demonstrated at the ARDD conference in Copenhagen last August. In August, Deep Origin ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
GitHub

A Dataset and code of Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
GitHub

Medical Image Segmentation Pipeline

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...