Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Abstract: Stochastic optimization of the Area Under the Precision-Recall Curve (AUPRC) is a crucial problem for machine learning. Despite extensive studies on AUPRC optimization, generalization is ...

Xiaomi equipped the air conditioner with a 13cc large-displacement dual-cylinder compressor, enhancing low-frequency stability by 30% and reducing noise by 5%. It also includes dual-row pure copper ...

However, there is still no consensus on the most effective algorithm or model. Objective: To evaluate and compare the performance of existing GDM prediction models constructed using AI algorithms and ...

The official code for the paper DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps (Neurips 2022 Oral) and DPM-Solver++: Fast Solver for Guided Sampling of ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Abstract: In the agricultural sector, employing machine vision technology for fruit target detection holds significant research importance and broad application prospects, such as enabling fruit ...

The Algorithmic Impact Assessment (AIA) is a mandatory risk assessment tool intended to support the Treasury Board’s Directive on Automated Decision-Making. The tool is a questionnaire that determines ...

While artificial intelligence suddenly seems to be everywhere, physician-scientists at Wilmer have been developing and evaluating AI tools for years. What started with one project by Neil Bressler, ...

Against the backdrop of a sluggish economic recovery, China’s travel and tourism industry’s rebound has been unexpectedly strong. Over the 8-day Mid-Autumn Festival and National Day holiday period ...