Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

Nordic Fuel Gauge v2.0 will empower manufacturers to build more reliable, sustainable and longer-lasting products while also ...

Knowledge Distillation (KD) has been established as an effective technique for reducing the resource requirements of models when tackling computer vision tasks. Prior work has studied how to distill ...

Background Balanced translocation (BT) carriers have a high risk of recurrent miscarriage and abnormal offspring due to unbalanced gamete production. Clinical genetic testing often fails to detect BTs ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Generating mechanistic pathways of rare events like ligand unbinding or protein folding is a central challenge in molecular dynamics simulation of complex molecular processes. Here, we present ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: In surrogate-assisted expensive multiobjective evolutionary optimization, selecting individuals for expensive function evaluations has received widespread attention to improve the model.

ABSTRACT: The PMU’s performance relies on its ability to detect and provide accurate measurements of both steady-state and dynamic conditions. The phasor estimation algorithm assesses the accuracy and ...