Predicting how molecular changes affect the brain's overall activity is a major challenge in neuroscience. Many deep ...

This case study details NGL treatment for sulfur and methanol reduction at Pembina NGL Corporation’s Redwater fractionation ...

Scientists from the Technical University of Munich and Lund University explored the use of new models for liquid-liquid chromatography based off pre-existing procedures for liquid-liquid extraction.

Learn how MCP’s standardized framework simplifies AI tool collaboration, eliminates custom integrations, and boosts ...

Image compression is an important method to remove the image redundancy. Aiming at the problem of image compression, this paper designs a 3-D compression-oriented ICC (3D-COICC) model for WVSNs to ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Researchers at Yale say that our imperfect climate models might actually be more helpful than some initially thought.

Computational modelling has driven significant advances in our understanding of the complexity of the human nervous system, enabling researchers to capture ...

The tablets don’t come cheap, and with Apple releasing so many models it can be confusing to figure out which one best fits ...

In this paper, a four-parameter model for global motion in image sequences is proposed. The model is generalized and can accommodate global object motions besides the motions due to the camera ...