Search Results - (( pattern reduction generating algorithm ) OR ( java application customization algorithm ))
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1
Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…The test pattern generation can be generated either manually or automatically. …”
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2
A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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3
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The first task is to introduce a new rough model for minimum reduct selection and default rules generation, which is known as a Twofold Integer Programming (TIP). …”
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4
Techno-economic optimization and modelling of grid-connected photovoltaic and battery energy storage system
Published 2023“…In this thesis, a Maximum Demand Reduction (MDRed) model is designed and created as an effective algorithm to size the solar PV and battery. …”
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5
Computer-generated fractals with medical application in trabecular bone structure / Hizmawati Madzin
Published 2006“…The FD values computed and fractal patterns generated by FGS agree well with theoretical values and existing fractal shapes. …”
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6
Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation
Published 2024“…Improved forecasting accuracy empowers energy providers to optimise resource allocation, power generation scheduling, and grid management, leading to potential cost reductions and increased efficiency.…”
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7
Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH
Published 2021“…The load flow patterns will significantly have affected when uncertain PV generation – load models are considered into the power flow algorithm. …”
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8
Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…The fruit flies or Drosophila Melanogaster movement strategy offers some advantages such as strategic 'search-aggregation' cycle, distribution of moving patterns with Levy Random, information sharing in real-time, and reduction of controller parameters during movements. …”
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9
A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
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10
Investigation of dimensionality reduction in a finger vein verification system
Published 2018“…The data were obtained from the finger-vein database SDMULA-HMT and the images underwent contrast-limited adaptive histogram equalization and noise filtering for contrast improvement. The vein pattern was extracted using repeated line tracking and dimensionality reduction using principal components analysis to generate the feature vector. …”
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11
New reflector shaping methods for dual-reflector antenna
Published 2022“…In this paper, modification to the reflector shaping method using equivalent parabola reflector and equivalent circle reflector method is proposed to achieve a good multi beam radiation patterns. First, the equivalent parabola and circle equation is implemented in the reflector shaping algorithms. …”
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12
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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13
Leveraging artificial intelligence in modern supply chains
Published 2025“…A synthetic dataset was generated to simulate urban traffic flows, and a Long Short-Term Memory (LSTM) model was trained to forecast short-term congestion patterns. …”
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14
Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…On top of that, the existing analysis tools and algorithms did not consider the data generated by sensory devices connected to the Internet. …”
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15
Low area Programmable Memory Built-In Self-Test (PMBIST) for small embedded ram cores / Nur Qamarina Mohd Noor
Published 2013“…The memory BIST applies various test algorithms such as MARCH tests to detect various RAM faults. …”
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16
Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…For this purpose, a nonparametric multiclass component analysis technique in nonstationary environments is introduced. This generative model enables adaptive similarity-based classifiers to classify time-labeled inquiry pattern with superior accuracy in a low dimensional feature space. …”
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17
Optimal placement and sizing of distributed generation in radial distribution networks using particle swarm optimization and forward backward sweep method
Published 2012“…Results indicate that the sizing and location of DG are system dependent and should be optimally selected before installing the distributed generators in the system. Improvements in the voltage profile, power loss and voltage deviation reduction have been achived.…”
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18
Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction
Published 2017“…The model was compared to other learning algorithms for NFS such as Fuzzy c-means (FCM) and grid partition algorithm. …”
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19
Fractal coding of bio-metric image for face authentication
Published 2021“…Fractal objects have patterns, convergence, determinism, and reduction in dimensionality. …”
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20
Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi
Published 2013“…Many of these studies focus on the time complexity of time-series clustering in large datasets and utilize dimensionality reduction approaches and conventional clustering algorithms to address the problem. …”
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