Dynamic electrical impedance tomography (EIT) promises to be a valuable technique for monitoring the development of brain injury. But in practical long-term monitoring, noise and interferences may ...

In view of the low computational efficiency and the limitations of the platform of the unsharp masking image enhancement algorithm, an unsharp masking image enhancement parallel algorithm based on ...

Combined with a newly developed dedicated remosaicing (array conversion) processing algorithm, the new sensor delivers 20% ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

The objective of this paper is to provide a high-level process of designing and implementing an Audio Algorithm, specifically written for Soc’s multi-core, low-power audio processing DSP processors.

Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

Association of PSMA PET results at biochemical recurrence (BCR) with metastasis free survival (MFS) by conventional imaging (CI) in patients with locally advanced or high-risk localized prostate ...

AMES, Iowa – Something called the fast Fourier transform is running on your cell phone right now. The FFT, as it is known, is a signal-processing algorithm that you use more than you realize. It is, ...