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.

Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

Spatial keyword query processing is an interdisciplinary research field that integrates geospatial computations with textual information retrieval. This area focuses on developing and optimising ...

Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...

New signal-processing algorithms have been shown to help mitigate the impact of turbulence in free-space optical experiments, potentially bringing ‘free space’ internet a step closer to reality. The ...

In a recent study posted to the medRxiv* pre-print server, researchers identified spatial/geographical (county-level) features associated with increased coronavirus disease 2019 (COVID-19) cases and ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

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 ...

Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...