Results 131 to 140 of about 136,469 (282)
StackingNet: Collective Inference Across Independent AI Foundation Models
Advanced Science, EarlyView.ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range
Advanced Electronic Materials, EarlyView.A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel +6 more
wiley +1 more source
Estimation of reliability in multicomponent stress-strength model: Log-logistic distribution
, 2010 A multicomponent system of k components having strengths following k- independently and identically distributed random variables x1, x2, ....xk and each component experiencing a random stress Y is considered.
RRL, Kantam; Acharya Nagarjuna University +1 more
core +2 more sources
Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley +1 more source
Log-logistic distribution for survival data analysis using MCMC. [PDF]
Springerplus, 2016 Al-Shomrani AA +3 more
europepmc +1 more source
Drivers of Precision Agriculture Adoption in Italian Viticulture
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This study examines the main drivers influencing the adoption of two types of precision farming technologies in the viticultural sector: Decision Support Systems (DSSs) and Variable Rate Technologies (VRTs). We apply a partial proportional odds model and find that socio‐demographic characteristics are not significant determinants of adoption ...
Olimpia Fontana +3 more
wiley +1 more source
New Generalized and Dual Generalized Order Statistics based Transmuted Log-Logistic Distributions
Journal of Statistical Theory and Applications (JSTA)This paper introduces two extensions of the log-logistic distribution, namely the generalized order statistics transmuted log-logistic (GOSTLL) and the dual generalized order statistics transmuted log-logistic (DGOSTLL) distributions.
Manal Alharbi +2 more
doaj +1 more source
Further results involving Marshall-Olkin log-logistic distribution: reliability analysis, estimation of the parameter, and applications. [PDF]
Springerplus, 2016 Alshangiti AM, Kayid M, Alarfaj B.
europepmc +1 more source