Periodical publishing

Periodical publishing

New Research on Chemicals and Chemistry Reveals Key Insights on Phosphorus and Black Spot Development in P. Brevitarsis Larvae

Researchers at Guizhou Normal University have conducted a study on the chemical properties of Protaetia brevitarsis Lewis, a highly efficient insect species used in resource-treatment processes. The study focused on the relationship between phosphorus content and the development of black spots in larvae, which can significantly impact their treatment efficiency

Periodical publishing

Patent Reveals Breakthrough in Radar Interference Mitigation for Improved Vehicle Safety

Researchers at Magna Electronics Sweden AB have developed a pioneering method to suppress interference in radar transceivers, enhancing the safety and accuracy of automotive radar systems. This innovative approach involves monitoring frequencies adjacent to the transmitted frequency for interference and pausing transmission during cross-over times to prevent noise floor increase.

Periodical publishing

New Research on Chemicals and Chemistry Reveals Key Insights on Phosphorus and Black Spot Development in P. Brevitarsis Larvae

Researchers at Guizhou Normal University have conducted a study on the chemical properties of Protaetia brevitarsis Lewis, a highly efficient insect species used in resource-treatment processes. The study focused on the relationship between phosphorus content and the development of black spots in larvae, which can significantly impact their treatment efficiency

Periodical publishing

Novel Self-Supervised Pretraining Model for Catenary Support Component Detection in Electrified Railways

In a groundbreaking study published in IEEE Transactions on Transportation Electrification, researchers from Southwest Jiaotong University have proposed a novel self-supervised pretraining model for detecting catenary support components (CSCs) in electrified railways. The study aims to address the challenge of limited labeled catenary data by leveraging large amounts of unlabeled

Periodical publishing

Novel Self-Supervised Pretraining Model for Catenary Support Component Detection in Electrified Railways

In a groundbreaking study published in IEEE Transactions on Transportation Electrification, researchers from Southwest Jiaotong University have proposed a novel self-supervised pretraining model for detecting catenary support components (CSCs) in electrified railways. The study aims to address the challenge of limited labeled catenary data by leveraging large amounts of unlabeled