Search alternatives:
training algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
element » elements (Expand Search)
training algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
element » elements (Expand Search)
-
61
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
Published 2022Get full text
doctoralThesis -
62
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …”
Get full text
Get full text
article -
63
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …”
Get full text
Get full text
Get full text
masterThesis -
64
Using genetic algorithms to optimize software quality estimation models
Published 2004Get full text
Get full text
Get full text
masterThesis -
65
Simulated annealing and genetic algorithms for exam scheduling. (c1997)
Published 1997Get full text
Get full text
masterThesis -
66
Bee colony algorithm for assigning proctors to exams. (c2013)
Published 2013Get full text
Get full text
masterThesis -
67
A Scatter search algorithm for exam scheduling. (c2006)
Published 2006Get full text
Get full text
masterThesis -
68
Second-order conic programming for data envelopment analysis models
Published 2022“…Data envelopment analysis (DEA) is a widely used benchmarking technique. …”
Get full text
Get full text
-
69
Data mining approach to predict student's selection of program majors
Published 2019“…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
Get full text
-
70
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
Get full text
-
71
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
Get full text
masterThesis -
72
A method for optimizing test bus assignment and sizing for system-on-a-chip
Published 2017“…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
73
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
Published 2006“…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. …”
Get full text
Get full text
article -
74
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
Get full text
Get full text
Get full text
masterThesis -
75
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The data from four commercial fields in Atlantic Canada (including Tracadie, Frank Webb, Small Scott, and Cooper fields) were utilized to achieve the goal. …”
-
76
Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
Get full text
article -
77
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
Published 2011“…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …”
Get full text
-
78
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …”
Get full text
-
79
A data envelopment analysis model for opinion leaders’ identification in social networks
Published 2024“…Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships between all of the users in a network, which makes the algorithms time-consuming. …”
-
80