MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Using Real-Time Quantitative Data Saturation Analysis to Enhance the Rigor of Qualitative Research: A Decision-Making Perspective. Open Journal of Business and Management, 14, 1921-1929. doi: ...

China’s space agency is preparing to send a probe to collect material from a tiny asteroid that has been traveling alongside ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

Experts have accepted an estimate of around six million living insect species, an appraisal that has stood for the last 40 ...

A new estimate of insect species globally finds that there may be 8 million to 14 million more species than people thought, ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

Abstract: With the advancement of embodied intelligence technology, continuous-time reinforcement learning (CTRL) in dynamical systems has shown promising potential in various robotic applications and ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

摘要: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their inadequacy in ...