Data scientists need access to data to do social good. But data owners must be conservative about how, when, and why they share data or risk violating the trust of the people they aim to help, losing their funding, or breaking the law. Data sharing agreements can help prevent privacy violations, but require a level of specificity that is premature during preliminary discussions, and can take ov...

one of the most important steps lrz·hyy data interpretation, tracing certain horizons which is of critical ahmytand stratigraphy. the existence of noise in the data stage of the interpretation is difficult. in this article, applying the analysis principal component and a narrow selection of cross migration pnjrhyy given where reflections almost afqyand, a trace comes from that obtained undermin...

A Market-based system has been developed to assist in mission planning for a earth orbiting synthetic aperture radar ( S A R ) mission. The system enables participants to signal demands for spacecraft resources needed for data acquisitions by establishing a currency and "worth" for a part~cular data acquisition request. We compared a Serial Drafl approach to two Market-based approaches; a Simpl...

The dissemination of synthetic data can be an effective means making information from sensitive publicly available while reducing the risk disclosure associated with releasing directly. While mechanisms exist for synthesizing that satisfy formal privacy guarantees, utility is often afterthought. More recently, use methods disease mapping literature has been proposed to generate spatially-refere...

This paper tests for income-related reporting heterogeneity in selfassessed health (SAH). It also constructs a synthetic measure of clinical health to decompose the effect of income on SAH into an effect on clinical health (which is called a health production effect) and a reporting heterogeneity effect. We find health production effects essentially for lowincome individuals, and reporting hete...

For autonomy in the maritime domain, object detection is a very important task, as one needs to perceive surroundings take appropriate action decisions. A large issue and classification shortage of thorough datasets. In this work, our aim reduce problem by introducing pipeline for generation simulated data that matches target thereby achieving more reliable robust performance detector. This eas...

This article presents a novel nonparametric approach to generate synthetic data using copulas, which are functions that explain the dependency structure of real data. The proposed method addresses several challenges faced by existing generation techniques, such as preservation complex multivariate structures presented in By all information from and verifying generated follows same behavior unde...