Results 21 to 30 of about 2,245,682 (297)
Heavy metal distribution in mining areas has always been a hot research topic due to the special environment of these areas. This study aims to explore the impact of heavy metal pollution on soils and crops in the study area, ensure the safety of local ...
Qiu-yao Dong +7 more
doaj +1 more source
Design of a Quick Switching Sampling System Based on the Coefficient of Variation
In this research, a quick switching sampling (QSS) system based on the coefficient of variation (CV) is developed, which utilizes information from present and previous lots to make a decision about the submitted lot of product.
Ching-Ho Yen +4 more
doaj +1 more source
Detection of Heavy Metals, Their Distribution in Tilapia spp., and Health Risks Assessment
Concentrations of heavy metals (HMs) were assessed in Tilapia spp. from selected communities in Calapan City, Philippines. Eleven (11) inland farmed tilapia samples were collected and analyzed for HMs concentration using X-ray fluorescence (XRF).
Leonel C. Mendoza +4 more
doaj +1 more source
Distributed Personalized Empirical Risk Minimization
This paper advocates a new paradigm Personalized Empirical Risk Minimization (PERM) to facilitate learning from heterogeneous data sources without imposing stringent constraints on computational resources shared by participating devices. In PERM, we aim to learn a distinct model for each client by learning who to learn with and personalizing the ...
Yuyang Deng +3 more
openaire +3 more sources
OPTIMIZING TRANSPORTATION SYSTEMS AND MITIGATING RISKS: A COMPREHENSIVE ANALYSIS OF DISTRIBUTION SUPPLY CHAIN CHALLENGES [PDF]
The effectiveness of the transportation system aids in the successful economic development of any nation, as studies by foreign scientists have shown that road transport is one of the most critical contributors to budget revenue.
Imane BENALLOU +3 more
doaj +1 more source
On Progressive Censored Competing Risks Data: Real Data Application and Simulation Study
Competing risks are frequently overlooked, and the event of interest is analyzed with conventional statistical techniques. In this article, we consider the analysis of bi-causes of failure in the context of competing risk models using the extension of ...
Abd El-Raheem M. Abd El-Raheem +2 more
doaj +1 more source
Robust risk aggregation with neural networks
We consider settings in which the distribution of a multivariate random variable is partly ambiguous. We assume the ambiguity lies on the level of the dependence structure, and that the marginal distributions are known.
Eckstein, Stephan +2 more
core +1 more source
Formalizing and Estimating Distribution Inference Risks
Distribution inference, sometimes called property inference, infers statistical properties about a training set from access to a model trained on that data. Distribution inference attacks can pose serious risks when models are trained on private data, but are difficult to distinguish from the intrinsic purpose of statistical machine learning—namely, to
Anshuman Suri, David Evans 0001
openaire +2 more sources
In this study, the spatial distribution characteristics of nine alkylphenols (APs) in the Yongding River and Beiyun River were analyzed. The differences in the concentrations and spatial distribution patterns of nine APs were systematically evaluated ...
Yajun Hong +8 more
doaj +1 more source
Pseudonymization risk analysis in distributed systems [PDF]
In an era of big data, online services are becoming increasingly data-centric; they collect, process, analyze and anonymously disclose growing amounts of personal data in the form of pseudonymized data sets. It is crucial that such systems are engineered to both protect individual user (data subject) privacy and give back control of personal data to ...
Geoffrey Neumann +3 more
openaire +5 more sources

