Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Retention analysts say Shorts older than 28-30 days are being deprioritized in recommendations. The reported shift affects channels ranging from 100 million to one billion monthly views. Creators warn ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Abstract: This paper proposes a memory-enhanced evolutionary algorithm that can effectively address multi- and many-objective optimization problems with various Pareto fronts within a small number of ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

See /GLS/README.md for detailed documentation of this innovation. Population size: 200 Maximum generations: 300 Random mating probability (RMP): 0.4 Mutation rate: 0. ...

Abstract: This paper presents a learning-assisted evolutionary algorithm for energy-efficient dynamic task scheduling, simultaneously tackling processor allocation, task sequencing, and frequency ...

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry ...