Search Results - (( data optimization method algorithm ) OR ( shape identification method algorithm ))
Search alternatives:
- identification method »
- shape identification »
- data optimization »
- method algorithm »
-
1
Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
Published 2021“…In conclusion, the supervised learning method using FRF change is convenient and effective in identifying the damage state of the plate, and can be optimized through mode shape assessment. …”
Get full text
Get full text
Get full text
Thesis -
2
A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis
Published 2014“…This chapter instead focuses on identifying the unique individual significant features of word shape by using feature selection method prior the identification task. …”
Get full text
Get full text
Book Chapter -
3
A new swarm-based framework for handwritten authorship identification in forensic document analysis
Published 2014“…This chapter instead focuses on identifying the unique individual significant features of word shape by using feature selection method prior the identification task. …”
Get full text
Get full text
Book Chapter -
4
Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. …”
Get full text
Get full text
Thesis -
5
Human identification at a distance using body shape information
Published 2013“…This paper presents an intelligent system approach for human identification at a distance using human body shape information. …”
Get full text
Get full text
Get full text
Article -
6
-
7
An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity
Published 2018“…Algorithms of investigation starting with span from extraction, matching and classification to determine the interest point of flower species, like colour and shape features information. …”
Get full text
Get full text
Proceeding -
8
Tag clouds algorithm with the inclusion of personality traits
Published 2015“…The algorithm was developed based on three theories of personality traits, namely Myers-Briggs Type Indicator (MBTI), Shape, and Multiple Intelligence (MI). …”
Get full text
Get full text
Get full text
Thesis -
9
VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
Get full text
Get full text
Thesis -
10
Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm
Published 2024“…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
Get full text
Get full text
Get full text
Article -
11
The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes
Published 2019“…The AR algorithm characterizes the shape of the stress wave signals by AR coefficients and clustered using ‘centroid’ linkages. …”
Get full text
Get full text
Get full text
Article -
12
Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…The results of the verification of the system algorithm on the simulated 3D areal surface topography of a sloped bumps shows that the system algorithm can effectively identified the edges features and segmented them following the shape partem of the surface features of the sloped bumps. …”
Get full text
Get full text
Thesis -
13
Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
Published 2018“…Results from both FDD and EMA are validated and compared to ensure that FDD result can be further used in OMA methods of analysis. Only two out of four identification algorithms in parametric OMA techniques will be applied, namely Enhanced Frequency Domain Decomposition (EFDD) and Canonical Variant Analysis of Covariance-driven Stochastic Subspace Identification (SSI-CVA) methods. …”
Get full text
Get full text
Article -
14
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
Get full text
Get full text
Thesis -
15
-
16
Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…In this study we show how to apply a particular class of optimization methods known as pattern search methods to address these challenges. …”
Get full text
Get full text
Thesis -
17
-
18
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
19
Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant
Published 2022“…Comparative results alongside other existing metaheuristic-based algorithms further confirmed excellence of the proposed method through its superior performance against the slime mould algorithm (SMA), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), grey wolf optimizer (GWO), and safe experimentation dynamics (SED) algorithm.…”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost
Published 2024“…PSO-EBGWO is used to optimize the parameters of the CatBoost model. In this method, the Gray Wolf optimized algorithm (EBGWO) is further optimized by particle swarm optimization (PSO), and when combined with it, the convergence performance of the model is improved, the parameters of the model are reduced, and the model is simplified. …”
Get full text
Get full text
Get full text
Article
