A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

Abstract: To make the welding robot more reasonable and furthermore improve the productivity and reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) and ...

Abstract: A microgrid network is characterized by a high $R/X$ ratio, making the voltage more sensitive to active power changes compared to bulk power systems, where ...

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of ...

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to ...

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...

Objectives Active learning strategies, including case-based learning (CBL), problem-based learning (PBL) and team-based ...

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Therefore, a new multiobjective optimization problem was set based on the simultaneous minimization of the shutdown time and the maximization of on-spec production based on the settings used in ...

This is a code package is related to the following “lecture note” article: Emil Björnson, Mats Bengtsson, and Björn Ottersten, “ Optimal Multiuser Transmit Beamforming: A Difficult Problem with a ...