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961
Data-driven analysis in the selective oligomerization of long-chain linear alpha olefin on zeolite catalysts: A machine learning-based parameter study
Published 2025-03-01“…The structural characteristics of the zeolites and experimental conditions were used as input parameters to analyze the feature importance of each key factor on the oligomerization of 1-octene. …”
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962
Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard
Published 2025-01-01Get full text
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963
Effects of External Water Pressure Reduction Coefficient on Parameters for High-Pressure Water injection test in Deep Boreholes of Pumped Storage Power Stations
Published 2025-01-01“…Currently, conventional computing methods for water injection test parameters remain used for high-pressure scenarios, leading to significant errors in deep borehole applications. …”
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964
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965
On the Issue of Practical Orientation of Teaching Students of Technical Universities the Basics of Descriptive Geometry
Published 2020-04-01“…The conclusions reflect the ways to achieve the goals of studying descriptive geometry using computer technologies and e-education. In addition, the uniqueness and results of using the proposed method in a technical University are shown.…”
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966
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967
Development of a simulation model of the heating process in the passenger cabin of a vehicle under low temperature conditions
Published 2021-11-01“…The results of the analysis of the Russian and foreign studies in the direction of ensuring thermal comfort and ensuring biophysical compatibility in confined spaces are presented. The results of computer modelling of the dynamics of microclimate parameters in the passenger cabin of a wheeled vehicle of M3 category with a capacity of no more than 22 passengers are presented.Results. …”
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968
A novel approach to tyrosinase-based biosensors: Electrode reactions and biological measurement
Published 2024-12-01Get full text
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969
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970
The Coordination of Lanthanide Atoms with Stone–Wales Defects on Graphene: A Cluster DFT Analysis Using ECP Pseudopotentials
Published 2025-05-01“…Within the frame of density functional theory, we used the computational methodology of the PBE-D2/DNP theoretical level using ECP pseudopotentials. …”
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971
Recent advances in explainable Machine Learning models for wildfire prediction
Published 2025-09-01Get full text
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972
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973
A comprehensive hematological dataset for dengue incidence in Bangladesh(Mendeley Data).
Published 2025-06-01Get full text
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974
Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection
Published 2024-10-01Get full text
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975
Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator
Published 2024-12-01“…To achieve low-frequency absorption within a limited spatial volume, this study proposes an embedded Helmholtz resonator featuring a roughened neck and establishes a numerical computational model that incorporates thermos viscous effects. …”
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976
An Enhanced Dynamic Model of a Spatial Parallel Mechanism Receiving Direct Constraints from the Base at Two Point-Contact Higher Kinematic Pairs
Published 2025-07-01“…Further, from the comparison between the models of the target PM and its counterpart free of DCFB, these constraints sharply raise the modelling complexity in terms of the transformation between Euler parameters and Euler angles in the end effector and the computational cost of inverse dynamics.…”
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977
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979
Parametric Variant Design of Reducer based on Case Based Reasoning
Published 2016-01-01“…A reducer 3D design system is developed by taking Solid Works as a development platform and VB as the development tool,combining the key technology of three dimensional modeling method that combine the feature modeling and parametric design,the nearest neighbor algorithm for computing similarity,and the parametric variant design based on layout sketch.The automatic retrieval,design calculation,model- driven and plot for the reducer is realized,it provides an effective way for the fast intelligent design of the reducer.…”
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980
ResnetCPS for Power Equipment and Defect Detection
Published 2024-11-01“…Convolutional neural networks (CNNs) substantially reduce the number of parameters and efficiently extract image features for classification tasks. …”
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