Results 221 to 230 of about 851,166 (333)

Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport. [PDF]

Biomed Opt Express
Kangasniemi J, Mozumder M, Pulkkinen A, Tarvainen T.   +3 more
europepmc   +1 more source

Simulation of Z-Shaped Graphene Geometric Diodes Using Particle-in-Cell Monte Carlo Method in the Quasi-Ballistic Regime. [PDF]

Nanomaterials (Basel), 2021
Stearns J, Moddel G.
europepmc   +1 more source

Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing

Advanced Science, EarlyView.
This work introduces a novel photonic Bayesian neural network architecture that utilizes tunable photonic random number generators to independently control weight distribution parameters, significantly improving robustness, scalability, and accuracy while demonstrating practical applications in multimodal data processing and uncertainty‐aware computing.
Yangyang Zhuge, Zhihao Ren, Zian Xiao, Zixuan Zhang, Xinmiao Liu, Weixin Liu, Siyu Xu, Chong Pei Ho, Nanxi Li, Chengkuo Lee   +9 more
wiley   +1 more source

Validation of a Simplified Method for Estimating the Harmonic Response of Rogowski Coils with the Monte Carlo Method. [PDF]

Sensors (Basel)
Betti C, Mingotti A, Tinarelli R, Peretto L.   +3 more
europepmc   +1 more source

Modelling aerosol-based exposure to SARS-CoV-2 by an agent based Monte Carlo method: Risk estimates in a shop and bar. [PDF]

PLoS One, 2021
Salmenjoki H, Korhonen M, Puisto A, Vuorinen V, Alava MJ.   +4 more
europepmc   +1 more source

Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

Advanced Science, EarlyView.
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li, Lindong Ma, Zhenjie Xue, Xiao Li, Shan Zhu, Tie Wang   +5 more
wiley   +1 more source

Hypothesis Testing and Finite Sample Properties of Generalized Method of Moments Estimators: A Monte Carlo Study [PDF]

, 1990
Ching-Sheng Mao
openalex   +1 more source

Application of the adaptive Monte Carlo method for uncertainty evaluation in the determination of total testosterone in human serum by triple isotope dilution mass spectrometry. [PDF]

Anal Bioanal Chem
Liu G, Wang H, Han Y, Liu C, Liang M.
europepmc   +1 more source

Transient Interdomain Interactions Modulate the Monomeric Structural Ensemble and Self‐Assembly of Huntingtin Exon 1

Advanced Science, EarlyView.
Polyglutamine (polyQ) tract expansion (≥ 36 amino acids) within the N‐terminal region of the Huntingtin protein (Httex1) causes Huntington's disease (HD), for which the underlying causes are not well‐understood. The authors performed computer simulations to understand the cause of HD at the molecular level.
Priyesh Mohanty, Tien Minh Phan, Jeetain Mittal   +2 more
wiley   +1 more source

Reliability Indices Utlization in Combined Heat and Power ( CHP ) Optimal Operation

Majlesi Journal of Electrical Engineering
The reason that cogeneration is being used more compared to separate heat and power is because it is more efficient.  In this paper the goal is finding the optimized CHP system utility size and thermal storage considering reliability limits of boiler and
Hamed Hosseinnia, Dariush Nazarpour, Masoud Rezaei Benam   +2 more
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