We introduce a wavelet-weighted online dictionary learning (WWODL) denoising strategy for noisy microseismic recordings. We develop an adaptive parameters estimation approach for tunable Q -factor ...

Robust tensor completion, which aims to recover a tensor from partial observations corrupted by Gaussian noise and sparse noise simultaneously, has a wide range of applications in visual data recovery ...

Collaboration on the optimal timing of anticoagulation after ischaemic stroke and atrial fibrillation: a systematic review and prospective individual participant data meta-analysis of randomised ...

Singapore’s Central Provident Fund Board (CPFB) aimed to better leverage data for decision making, policy formulation, and service delivery.

The writing committee identified the basic attributes of a standardized vocabulary that allow creation of a clinical data dictionary—data elements, data element definitions, permissible values, ...

Hurricane forecasters and scientists rely on weather data collected and processed by Department of Defense satellites. The Navy has decided to stop sharing the data.

Data removal services promise to handle the nitty-gritty of removing your information from data broker sites for a fee.

The loss of access to the data could hamstring forecasters’ ability to track hurricanes and warn residents of their risk.