Results 111 to 120 of about 2,194,170 (284)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
The Astronomical JournalFuture telescopes will survey temperate, terrestrial exoplanets to estimate the frequency of habitable ( η _Hab ) or inhabited ( η _Life ) planets.
Daniel Angerhausen +4 more
doaj +1 more source
Entropy as a marker of physiological transition during pediatric cardiopulmonary exercise testing
Frontiers in PhysiologyThis research analyzed the sample entropy (SampEn) of breath-by-breath cardiopulmonary exercise testing (CPET) data from 170 healthy pediatric participants (85 males) 8 to 18-years-old, using a Bayesian statistics approach. SampEn measures the complexity
Kaleigh O’Hara +5 more
doaj +1 more source
A Formalism for Expressing the Probability Density Functions of Interrelated Quantities
Measurement Science Review, 2013 In this paper we address measurement problems involving several quantities that are interrelated by model equations. Available knowledge about some of these quantities is represented by probability density functions (PDFs), which are then propagated ...
Lira I., Grientschnig D.
doaj +1 more source
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Correlations between the Neutron Star Mass–Radius Relation and the Equation of State of Dense Matter
The Astrophysical JournalWe develop an analytic method of inverting the Tolman–Oppenheimer–Volkoff relations to high accuracy. In principle, a specified energy density–pressure relation gives a unique mass–radius ( M – R ) relation and vice versa.
Boyang Sun, James M. Lattimer
doaj +1 more source
Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Advanced Science, EarlyView.Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source
Bayesian control of the number of servers in a GI/M/c queuing system [PDF]
, 2004 In this paper we consider the problem of designing a GI/M/c queueing system. Given arrival and service data, our objective is to choose the optimal number of servers so as to minimize an expected cost function which depends on quantities, such as the ...
Lillo Rodríguez, Rosa Elvira +2 more
core +1 more source
Teaching Bayesian Statistics To Intelligence Analysts: Lessons Learned
Journal of Strategic Security, 2009 The Community must develop and integrate into regular use new tools that can assist analysts in filtering and correlating the vast quantities of information that threaten to overwhelm the analytic process…—Commission on the Intelligence Capabilities of ...
Hemangni Deshmukh +2 more
doaj
Bayesian Statistics for Medical Devices: Progress Since 2010. [PDF]
Ther Innov Regul Sci, 2023 Campbell G +3 more
europepmc +1 more source