Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...

Abstract: In microwave devices optimization, the full-wave electromagnetic (EM) simulation is usually computational expensive. In this work, to alleviate this problem, a new optimization algorithm is ...

Best when Data density is irregular Domain-meaningful distance threshold exists KNN is preferable when data density varies across the feature space, and when a fixed, predictable neighborhood is ...

Abstract: Increasing demand for wireless sensor networks (WSNs) raises challenges in energy constraints and communication sustainability, especially in remote or disaster-affected areas where ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

It’s no secret that much of social media has become profoundly dysfunctional. Rather than bringing us together into one utopian public square and fostering a healthy exchange of ideas, these platforms ...