Results 21 to 30 of about 36,337,967 (229)
Modern concretes such as ultra-high performance concrete (UHPC) show excellent strength properties combined with favorable flow properties. However, the flow properties depend strongly on process parameters during production (temperature, humidity etc.),
Gerland Florian +4 more
doaj +1 more source
Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software
The Ratcliff Diffusion Model has become an important and widely used tool for the evaluation of psychological experiments. Concurrently, numerous programs and routines have appeared to estimate the model's parameters.
Rainer W. Alexandrowicz, Bartosz Gula
doaj +1 more source
An Alternative Hard-Parameter Sharing Paradigm for Multi-Domain Learning
Hard-parameter sharing in multi-domain learning (MDL) allows domains to share some model parameters in order to reduce storage cost while improving prediction accuracy.
Lijun Zhang +3 more
doaj +1 more source
Workflow-level parameter study support for production grids
Workflow applications are frequently used in many production Grids. There is a natural need to run the same workflow with many different parameter sets.
Kacsuk, P., Farkas, Z., Hermann, G.
core +1 more source
This research paper investigates a novel triangular honeycomb thermochemical energy storage reactor for low- and medium-temperature applications in buildings, emphasizing its potential to enhance sustainable heating. Using a validated 3D numerical model,
Xiaojing Han +4 more
doaj +1 more source
Background To investigate the association of variability in metabolic parameters such as total cholesterol concentrations (TC), uric acid (UA), body mass index (BMI), visceral adiposity index (VAI) and systolic blood pressure (SBP) with incident type 2 ...
Ning Chen +7 more
doaj +1 more source
Reply to determining structural identifiability of parameter learning machines [PDF]
The paper Ran and Hu (2014, Neurocomputing) examines identifiability and parameter redundancy in classes of models used in machine learning. This note discusses the results on global identifiability and also clarifies that the paper's results on ...
Cole, Diana J.
core +1 more source
Numerical Simulation for Risk Assessment of Tunnel Construction through Fault Fracture Zones
This study explores the deformation characteristics of surrounding rock during tunnel construction through fault fracture zones. A numerical model is established using ABAQUS to analyze the interaction between the shield machine, support system, and ...
Xingzhong Nong +4 more
doaj +1 more source
The anti-floating punching failure of basement slabs subjected to groundwater uplift remains insufficiently understood due to the complex stress state and lack of applicable design guidance.
Wenguang Wang +3 more
doaj +1 more source
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source

