Search Results - (( layer perception method algorithm ) OR ( java application matching algorithm ))
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Message based random variable length key encryption algorithm.
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Thesis -
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ERNN: A biologically inspired feedforward neural network to discriminate emotion from EEG signal
Published 2014“…Emotions play an important role in human cognition, perception, decision making, and interaction. This paper presents a six-layer biologically inspired feedforward neural network to discriminate human emotions from EEG. …”
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Multivariate Time Series Forecasting Of Crude Palm Oil Price Using Machine Learning Techniques
Published 2017“…Experiments were conducted using multi-layer perception, support vector regression and Holt Winter exponential smoothing techniques.The results were assessed by using criteria of root mean square error (RMSE),means absolute error (MAE),means absolute percentage error (MAPE) and Direction of accuracy (DA).Among these three techniques, support vector regression(SVR) with Sequential minimal optimization (SMO) algorithm showed relatively better results compared to multi-layer perceptron and Holt Winters exponential smoothing method. …”
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An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…The main algorithms used are profile determination and user similarity. …”
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Thesis -
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Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant
Published 2014“…Multi-layer perception and a batch back propagation algorithm are used. …”
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Cyber-Crime Detection: Experimental Techniques Comparison Analysis
Published 2023“…The objective of this research paper is to conduct experimental techniques comparison analysis for cyber-crime detection by reviewing all possible machine learning algorithms for automatic detection. The key focus of the study is on the use of eight classifiers models which are Logistic Regression (LR), Decision Tree (DT), K-nearest Neighbors (KNN), Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), eXtreme Gradient Boosting (XGBoost) and Multiple layer perception (MLP). …”
Conference Paper -
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Optimization of abrasive machining of ductile cast iron using water based SiO2 nanocoolant : a radial basis function
Published 2012“…Multi-Layer Perception (MLP) along with batch back propagation algorithm are used. …”
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Undergraduates Project Papers -
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