Results 81 to 90 of about 846,838 (328)
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Research of the Algorithm for Robot Workspace Boundary Extraction
The Monte Carlo method is a simple and common way to analyze workspace for robot,and workspace boundary extraction is the key part of Monte Carlo workspace analysis.
Cui Zhihong +4 more
doaj
Analysis of measurement uncertainty of a surface acoustic wave micro-pressure sensor
As an important support for test and control projects, sensor’s performance is directly related to the accuracy of the measurement. To fully analyze the sources of measurement uncertainty for a surface acoustic wave micro-pressure sensor, in this study ...
Jian Huang +3 more
doaj +1 more source
The application of predictive stochastic model based on Monte Carlo method in building energy saving renovation [PDF]
: This research has established an energy consumption prediction model based on the Monte Carlo method to resolve the energy-saving transformation problem. First, simplify the building to construct the proposed model.
Juxian Xiao
doaj +1 more source
Study of Rapidity Gap Events in Hadronic Z Decays with L3 detector [PDF]
Rapidity gaps have been studied in well separated completely symmetric 3 jet events from hadronic Z decays to search for colour singlet exchange. Asymmetries in particle flow and angular separation, defined with respect to the inter-jet regions, are ...
Banerjee, Swagato
core +2 more sources
Monte Carlo Simulation Experiments for Engineering Optimisation
Design of Experiments (DoE) is widely used in design, manufacturing and quality management. The resulting data is usually analysed with multiple linear regression to generate polynomial equations that describe the relationship between process inputs and outputs.
Robert Anderson +4 more
openaire +2 more sources
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates
Data-driven decision-making has become crucial across various domains. Randomization and re-randomization are standard techniques employed in controlled experiments to estimate causal effects in the presence of numerous pre-treatment covariates.
Shaohua Xu, Songnan Liu, Yongdao Zhou
doaj +1 more source
A Compact Beam Stop for a Rare Kaon Decay Experiment [PDF]
We describe the development and testing of a novel beam stop for use in a rare kaon decay experiment at the Brookhaven AGS. The beam stop is located inside a dipole spectrometer magnet in close proximity to straw drift chambers and intercepts a high ...
A. Yamashita +33 more
core +2 more sources
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source

