E-commerce retailers digging out from five years of COVID and inflation got a rude awakening in April, with 10-50% U.S. tariffs on most imports from most countries, as well as elimination of the de ...
Getting AI governance right is one of the most consequential challenges of our time, calling for mutual learning based on the lessons and good practices emerging from the different jurisdictions ...
Abstract: The no-wait flow-shop scheduling problem (NFSSP) with sequence-dependent setup times (SDSTs) and release times (RTs) is applicable in many areas, such as steel production, food processing, ...
This project aims to analyze and compare various Rubik's Cube solving algorithms to determine their efficiency in terms of time and space complexities. The project will implement and evaluate four ...
Abstract: This article investigates deep neural networks (DNNs)-based lung nodule classification with hyperparameter optimization. Hyperparameter optimization in DNNs is a computationally expensive ...
I originaly made it for a Mindstorms EV3 cube-solving robot, but it can be used in any situation. Note that I do not have any real experience in coding well, so the code is pretty much a mess without ...
I am currently the chair of CATCS . Please check it out - we welcome any suggestions. I was the PC chair of SODA, 2024 . The accepted papers are here. An alternative talk schedule format is here. A ...
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