User parameters are a crucial feature in Fusion 360 for designing functional, 3D printed parts. This tutorial uses a ...

The table shows the pin configuration of the Arduino UNO–based robotic arm. The red (VCC) wires of all servos are connected ...

Solidworks and Inventor receive a lot of attention, and so we tend to forget the surprising number of other MCAD programs that exist. They are not fly-by-nighters – many have been around for more than ...

EDM (Electrical Discharge Machining) is one of those specialised manufacturing processes that are traditionally expensive and therefore somewhat underrepresented in the DIY and hacker scenes. It’s ...

SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control ...

New search for missing Malaysia Airlines plane MH370 after 11 years Scientists discovered the tunnels of a possibly unknown ancient lifeform This simple firewood trick made a huge difference in our ...

GENERALLY the 360 is a reliable car that gives little trouble, but fuel consumption can be high. Volvo specialist John Johnson says he's tried just about everything he knows to improve mileage . . .

Abstract: The widespread adoption of laser powder bed fusion (LPBF) additive manufacturing is hampered by process unreliability problems. Modeling the melt pool behavior in LPBF is crucial to develop ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Abstract: Multimodal survival analysis aims to combine heterogeneous data sources to improve the prediction quality of survival outcomes. However, this task is particularly challenging due to high ...

Since its shift from Nokia to HMD, Human Mobile Devices has been launching some interesting smartphones and feature phones. These phones focus on quality and practicality instead of raw power and ...

This repository contains a research-grade deep learning framework for predicting cancer recurrence using multi-omics data. The approach integrates multiple molecular layers (e.g. mRNA, miRNA, SNV) and ...