Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

For India, a 10% sampling framework would signal a new era of transparency, expanding the DGCA’s role to monitoring airline ...

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Using longitudinal data on more than 370 000 older Japanese adults, we found that living in constituencies represented by pro-tobacco legislators was associated with higher smoking prevalence. The ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

GlobaI Info Research（本社：東京都中央区）はこのたび、「スマート乗客検査システムの世界市場2026年：メーカー、地域別、タイプ、用途別、2032年までの予測」 に関する最新調査レポートを正式に発表しました。 空港、鉄道駅、税関、バスターミナルなど、交通インフラのゲートセキュリティを担うスマート乗客検査システム。ポストコロナ期の国際人流回復と、常に進化する不正行為への対抗手段とし ...

Is colourimetry the future of soil carbon measurement?New research led by Dr Yassine Bouslihim at the National Institute of ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...