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making algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
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461
Exploring Digital Competitiveness through Bayesian Belief Networks
Published 2025“…The methodology involves constructing BBN models using data from the IMD Digital Competitiveness Ranking 2023 for 64 countries. …”
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462
FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
Published 2007“…One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …”
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463
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464
Predicting stability of classes in an object-oriented system
Published 2010“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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465
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466
Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion
Published 1989“…Due to the 1-D nature of the algorithm, different predictive models used for rows and columns in the case of 2-point and similar objects; which calls for some prior knowledge of the object geometry. …”
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467
The Assessment and Allocation of Public Private Partnership Risks in the UAE
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doctoralThesis -
468
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469
Energy conversion of heat from abandoned oil wells to mechanical refrigeration - Transient analysis and optimization
Published 2021“…Among 43 investigated refrigerants, R1234ze(E) has higher efficiency, lower Pumping Work Ratio (PWR), and requires a smaller size of the heat exchangers. Using the genetic algorithm optimization method with R1234ze(E) as working fluid in both power and cooling loops, a maximum power loop efficiency of 6.3% and COP of 5.3 were obtained at a high pressure of 29 bar (in the power loop) with minimal expander diameter of 64, compressor diameter of 171 mm, and 18 expander-compressor units.…”
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470
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
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doctoralThesis -
471
Oversampling techniques for imbalanced data in regression
Published 2024“…This success rate is determined by the frequency of instances where models performed better when augmented data was used compared to instances with no augmentation. …”
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472
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473
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”
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474
Multigrid solvers in reconfigurable hardware. (c2006)
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masterThesis -
475
AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION
Published 2020“…The system also minimizes the area required by the WA by performing row compaction. An algorithm similar to that used for channel routing is employed for compaction (Hashimoto and Stevens 1971). …”
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476
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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masterThesis -
477
Evolutionary support vector regression for monitoring Poisson profiles
Published 2023“…This paper aims to monitor Poisson profile monitoring problem in Phase II and develops a new robust control chart using support vector regression by incorporating some novel input features and evolutionary training algorithm. …”
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478
Anomaly Detection Based Framework for Profile Monitoring
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doctoralThesis -
479
I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams
Published 2023“…Finally, the algorithm is stress tested for performance using a simulation of high-traffic event streams.…”
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480
Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
Published 2016“…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …”
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