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1
Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. …”
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2
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…The proposed algorithm is grounded on the two famous metaheuristic algorithms: cuckoo search (CS) and covariance matrix adaptation evolution strategy (CMA-es). …”
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3
Classification with degree of importance of attributes for stock market data mining
Published 2004“…The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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4
Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…Additionally, the proposed Hybrid Differential Evolution Algorithm was implemented into the training phase to ensure that the cost function of the Discrete Hopfield Neural Network is minimized. …”
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5
Logic mining method via hybrid discrete hopfield neural network
Published 2025“…Despite the success, the limitations of existing logic mining methods are often overlooked, hindering the search for optimal solutions in binary classification tasks. …”
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6
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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7
Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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8
Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…DSF algorithm is a hybrid stereo matching algorithm which divided into two phases. …”
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9
Routing performance enhancement in hierarchical torus network by link-selection algorithm
Published 2005“…A hierarchical torus network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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10
Dynamic communication performance enhancement in hierarchical torus network by selection algorithm
Published 2012“…A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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11
Adaptive routing algorithms and implementation for TESH network
Published 2013“…It is found that the communication performance of a TESH network using these adaptive algorithms is better than when the dimension-order routing algorithm is used.…”
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12
Butterfly traffic pattern in selection algorithm on hierarchical torus network
Published 2015“…A Hierarchical Torus Network (HTN) is a 2D- torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically inter- connected for higher-level networks. …”
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Proceeding Paper -
13
Analysis randomness properties of basic components of SNOW 3G cipher in mobile systems
Published 2016“…SNOW 3G is a stream cipher algorithm used as encryption algorithm in third generation mobile phone technology (3G-UMTS). …”
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14
High performance hierarchical torus network under matrix transpose traffic patterns
Published 2004“…In this paper, we present a deadlock-free routing algorithm for the HTN using virtual channels and evaluate the network’s dynamic communication performance under matrix transpose traffic, using the proposed routing algorithm. …”
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15
Evaluation of stereo matching algorithms and dynamic programming for 3D triangulation
Published 2015“…The stereo matching algorithms that we applied for experimental purpose are basic block matching, sub-pixel accuracy and dynamic programming. …”
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Book Chapter -
16
Evaluation Of Stereo Matching Algorithms And Dynamic Programming For 3D Triangulation
Published 2014“…The stereo matching algorithms that we applied for experimental purpose are basic block matching, sub-pixel accuracy and dynamic programming. …”
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Book Chapter -
17
Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
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18
The non-uniform communication performance of adaptive routing for hierarchical interconnection network for 3D VLSI
Published 2015“…this paper, we have evaluated the dynamic performance of a TESH network using different non uniform traffic patterns. …”
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19
Progress in various TCP variants (February 2009)
Published 2009“…Subsequently, a table derived evaluates TCP variants on the basis of algorithm. …”
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Conference or Workshop Item -
20
A cost and delay estimation of a suite of low-cost adaptive routers for hierarchical torus network
Published 2012“…A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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Proceeding Paper
