Mastering generative engine optimization in 2026: Full guide

That’s the job of generative engine optimization (GEO) — and in 2026, it’s no longer optional. This guide shows you how to build, execute, and measure a GEO strategy that actually works. What is GEO — ...
IEEE

Evolutionary Dynamic Multiobjective Optimization With Learning Across Problems

Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...
Hosted on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning DOJ fails to indict in case of ...
Scientific Research Publishing

Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach ()

Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research has ...
IEEE

Kinematic and Dynamic Control of a 6-DoF Robot Using MATLAB and Python

Abstract: This paper presents a comprehensive study on the kinematic and dynamic control of a 6-DoF serial robot manipulator using MATLAB and Python. Forward and inverse kinematics are formulated ...
GitHub

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos

[25.7.22] Remote Control Feature & Bug Fix: Fixed a deprojection error in the data processing pipeline. Added support for remote control—previously, the interactive ...
EurekAlert!

AI-based optimization method achieves breakthrough in ethylene manufacturing: higher profits and reduced carbon emissions

The latest study published in Engineering has unveiled a groundbreaking approach to advancing green ethylene manufacturing, with profound implications for global sustainable chemical production.