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1
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. …”
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Undergraduates Project Papers -
2
Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…To avert this problem, this study proposes a new mechanism called random traveling wave pulse-coupled oscillator algorithm, which is a self-organizing technique for energy-efficient wireless sensor networks using the phase-locking traveling wave pulse-coupled oscillator and random method on anti-phase of the pulse-coupled oscillator model. …”
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Article -
3
Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The first approach is to develop an efficient sequential algorithm for the window method. …”
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4
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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5
Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coate...
Published 2007“…This paper presents an efficient method of optimisation of surface roughness in end milling of Inconel 718 using TiAlN coated inserts under dry conditions by coupling response surface methodology (RSM) with genetic algorithm (GA). …”
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Proceeding Paper -
6
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). However, the process failed to state clearly the encoding strategy in its initial stage. …”
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Thesis -
7
Improvement of surface roughness in end milling of Ti6Al4V by coupling RSM with genetic algorithm
Published 2011“…The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The developed RSM is coupled as a fitness function with genetic algorithm to predict the optimum cutting conditions leading to the least surface roughness value. …”
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Article -
8
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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9
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Monograph -
10
Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
Published 2017“…The developed mathematical model was further analyzed with Genetic algorithm to find out the optimum conditions leading to the maximum coating efficiency.…”
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Article -
11
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Thesis -
12
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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Conference or Workshop Item -
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Greedyzero-based scheduling algorithm to route in optical low stage interconnection networks
Published 2012“…This algorithm has been developed to achieve performance goals in terms of 50% reduction in the number of passes.…”
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14
An efficient fault syndromes simulator for SRAM memories
Published 2009“…Due to this, a systematic approach for developing and evaluating memory test algorithm is required. …”
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Article -
15
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Article -
17
A fault syndromes simulator for random access memories
Published 2008“…Due to this, a systematic approach for developing and evaluating memory test algorithm is required. …”
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Article -
18
Maximum efficiency points of a proton-exchange membrane fuel cell system: Theory and experiments
Published 2025“…The results provide strong theoretical and experimental evidence for a unique maximum efficiency point for the fuel cell system and form a basis for developing maximum efficiency point tracking algorithms. ? …”
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Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes
Published 2025“…The proposed method achieves a 75% enhancement in energy efficiency compared to conventional Orthogonal Multiple Access (OMA) and an 11% improvement over benchmark NOMA algorithms. …”
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Thesis -
20
Generalizations and Some Applications of Kronecker and Hadamard Products of Matrices
Published 2006“…The common vector exact solutions of these coupled are presented and, subsequently, construct a computationally - efficient solution of coupled matrix linear least-squares problems and nonhomogeneous coupled matrix differential equations. …”
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