Results 31 to 40 of about 2,290,848 (276)

Spatio-Temporal Analysis of Urban Heatwaves Using Tukey g-and-h Random Field Models

IEEE Access, 2021
Real-time heatwave risk management with fine-grained spatial resolution is important for analysis of urban heat island (UHI) effects and local heatwaves.
Daisuke Murakami, Gareth W. Peters, Tomoko Matsui, Yoshiki Yamagata   +3 more
doaj   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

Mathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen   +6 more
doaj   +1 more source

Music Genre and Emotion Recognition Using Gaussian Processes

IEEE Access, 2014
Gaussian Processes (GPs) are Bayesian nonparametric models that are becoming more and more popular for their superior capabilities to capture highly nonlinear data relationships in various tasks, such as dimensionality reduction, time series analysis ...
Konstantin Markov, Tomoko Matsui
doaj   +1 more source

adabmDCA: adaptive Boltzmann machine learning for biological sequences

BMC Bioinformatics, 2021
Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni, Andrea Pagnani, Martin Weigt, Francesco Zamponi   +3 more
doaj   +1 more source

Statistical Modeling and Optimization of Biodiesel Production from Azadirachta Indica (Neem) Using Co-Solvent Technique [PDF]

, 2018
In this work, statistical modeling and optimization of biodiesel production from Azadirachta Indica(neem) using co-solvent technique via a two-step transesterification process was carried out. Neem oil was extracted from neem seeds and properties such as
A, N. A. (Nwakaudu), I, H. (Haruna), J, N. C. (Nnodim), L, K. F. (Kamen), O, I. P. (Ikhazuangbe), S, N. M. (Nwakaudu)   +5 more
core   +1 more source

Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling

IEEE Access
Federated learning that is an approach to addressing the “data silo” problem in a collaborative fashion may face the risk of data leakage in real-world contexts.
Yi Chen, Dan Chen, Niansheng Tang
doaj   +1 more source

Why estimands are needed to define treatment effects in clinical trials

BMC Medicine, 2023
Background The estimand for a clinical trial is a precise definition of the treatment effect to be estimated. Traditionally, estimates of treatment effects are based on either an ITT analysis or a per-protocol analysis.
Oliver N. Keene, Helle Lynggaard, Stefan Englert, Vivian Lanius, David Wright   +4 more
doaj   +1 more source

Rejoinder to "Statistical Modeling of Spatial Extremes"

, 2012
Rejoinder to "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].Comment: Published in at http://dx.doi.org/10.1214/12-STS376REJ the Statistical Science (http://www.imstat.org/sts/) by the ...
Davison, A. C., Padoan, S. A., Ribatet, M.   +2 more
core   +1 more source

Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data

Entropy
This paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha, Puying Zhao, Niansheng Tang   +2 more
doaj   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source