Distributed Gaussian Processes With Uncertain Inputs by Peter L. Green

“…Gaussian Process regression is a powerful non-parametric approach that facilitates probabilistic uncertainty quantification in machine learning. …”
Get full text

How to use the dispersion in the χ^{(3)} tensor for broadband generation of polarization-entangled photons by Valeria Vento, Francesco Ciccarello, Sakthi Priya Amirtharaj, Christophe Galland

“…Most sources based on spontaneous parametric down-conversion have relatively narrow optical bandwidths because the pump, signal, and idler frequencies must satisfy a phase-matching condition. …”
Get full text

UNCOVERING THE PREDICTIVE POWER OF NEURAL NETWORKS IN THE ADOPTION OF BEACON TECHNOLOGY IN THE TOURISM SECTOR by Francisco Liébana-Cabanillas, Juan Lara-Rubio, Beatriz García-Carrión, Rocio Hernandez-Garrido

“…The MLP model demonstrated superior performance with a classification accuracy of 99.14% and an area under the curve (AUC) of 0.947, highlighting the exceptional predictive capability of non-parametric models over traditional logistic regression. …”
Get full text

Estimation of Dynamic Characteristics of a Spring-Mass-Beam System by Ding Zhou, Tianjian Ji

“…Parametric studies show that using the proposed functions, not only the first pair of natural frequencies but also the mode and internal forces of the coupled system can be obtained with high accuracy.…”
Get full text

Predicting IDH and 1p/19q molecular status of gliomas with multi-b values DWI by Shanshan Zhao, Peipei Wang, Eryuan Gao, Mengzhu Wang, Guang Yang, Shouhui Niu, Mengjiao Pan, Kai Zhao, Jingliang Cheng, Xiaoyue Ma

“…Multi-b-value DWI images were post-processed to generate parametric maps based on the mono-exponential (Mono), the intravoxel incoherent motion (IVIM), the stretched exponential model (SEM) and the continuous-time random walk (CTRW) models. …”
Get full text

Modeling the relationships among technological properties of sheep individual animal factors, milk composition, and minerals using generalized additive mixed models by Giorgia Stocco, Claudio Cipolat-Gotet, Andrea Summer, Francesco Tiezzi, Simone Blotta, Alessio Negro, Bianca Castiglioni, Stefano Biffani

“…The GAMM accounted for variations in breed and parity, which were included as parametric terms, as well as milk minerals, rennet coagulation time (RCT), sampling day, and interactions between DIM and milk yield (MY), fat and casein, and Ca and P, which were treated as smooth terms. …”
Get full text

Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study by Brenda Maria Rosales, Karan Shah, Nicole De La Mata, Heather Baldwin, James Hedley, Philip Clayton, Melanie Wyld, Patrick Kelly, Kate Wyburn, Rachael Morton, Angela Webster

“…In doing so, we will develop evidence to support policy and complex clinical decisions in Australia’s organ donor referral process with potential worldwide application. International Registered Report Identifier (IRRID)DERR1-10.2196/67588…”
Get full text

OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial by Xulong Qiu, Xulong Qiu, Jidi Chen, Jidi Chen, Muting Wang, Kaixin Zheng, Ruixiong Li

“…Using the PSM, we calculated the state-weighted cost, applied a discount rate, determined the incremental cost for the experimental group, and calculated the Incremental Cost-Effectiveness Ratio (ICER).ResultsThe OncoPSM application is available at http://sw2-primary1.xiyoucloud.pro:13471/oncoPSM/. …”
Get full text

Bayesian Regression Analysis for Dependent Data with an Elliptical Shape by Yian Yu, Long Tang, Kang Ren, Zhonglue Chen, Shengdi Chen, Jianqing Shi

“…The discussion in this paper focuses on two-dimensional problems, but the framework can be extended to higher-dimensional spaces, making it adaptable to a wide range of applications.…”
Get full text

Fixed point approximation of contractive-like mappings using a stable iterative family and its dynamics via quadratic polynomials by Munish Kansal, Higinio Ramos, Litika Rani

“… This study aims at presenting a novel bi-parametric family of iterative methods for computing the fixed points of a contractive-like mapping. …”
Get full text

Estimating the Effects of Tunnelling on Preexisting Jointed Pipelines by Shao Yu, Zhibo Duan, Ying Liu, Min Ma, Shaokun Ma

“…Based on this analysis, a series of numerical parametric studies encompassing 7776 conditions were performed to investigate the responses of a jointed pipeline to twin tunnelling. …”
Get full text

Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models by Vinh Ngoc Tran, Valeriy Y. Ivanov, Donghui Xu, Jongho Kim

“…Abstract Applications of process‐based models (PBM) for predictions are confounded by multiple uncertainties and computational burdens, resulting in appreciable errors. …”
Get full text

Observer Design for RIP Stability Using Takagi-Sugeno Fuzzy Model and Mean Value Theorem by Quy-Thinh Dao, Bao-Trung Dong, Thi-Van-Anh Nguyen

“…The proposed approach outperforms traditional methods, providing a reliable and precise solution for real-time control applications in nonlinear systems.…”
Get full text

Behavior of Hexagonal Concrete-Filled Double-Skin Steel Short Columns under the Effect of Axial Compression by Hend Selima, Mostafa Fahmi, Yousry Shaheen

“…To date there have been no significant applications of hexagonal concrete-filled double skin tubular columns (HCFDST) with inner circular tubes worldwide, partly due to the lack of design provisions. …”
Get full text

A novel class of fourth-order derivative-free iterative methods to obtain multiple zeros and their basins of attraction by Munish Kansal, Vanita Sharma, Litika Rani, Lorentz Jäntschi

“…Numerical analyses were performed and compared with other existing algorithms to verify the efficacy and applicability of the proposed techniques.…”
Get full text

A new product for soft sets with its decision-making: Soft star-product by Aslıhan Sezgin, Eylül Şenyiğit

“…Soft sets provide a robust mathematical framework for addressing uncertainty, offering innovative solutions for problems involving parametric data. Soft set operations are core concepts within soft set theory. …”
Get full text

Bandgap formation and tuning in gyroid lattice structures: Simulations and experiments by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

“…These findings highlight the potential of the network gyroid structures for vibration-sensitive engineering applications.…”
Get full text

Exploiting the Internal Resonance for the Vibration Suppression of Beams via Piezoelectric Shunt Circuits by Khaled Al-Souqi, Samir Emam, Khaled Kadri

“…The proposed absorber is space-efficient and does not add mass to the primary system, and hence, it has the potential in systems where the weight matters, such as aerospace applications.…”
Get full text

A mechanism-driven failure causality modeling approach for mechanical systems combining causal ordering theory and Ishikawa diagram by Hui Yu, Wenhao Zhang, Wei Qu

“…The proposed approach first establishes parametric causal relationships between failure modes and root causes through physics-based causal ordering. …”
Get full text

Delay-dependent robust control for uncertain Linear systems with distributed and multiple delays by Salman Baroumand, Bita Labibi

“…The parametric uncertainties are time varying and unknown but norm bounded. …”
Get full text