Search Results - (( developing function using algorithm ) OR ( data normalization techniques algorithm ))

Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

“…Two techniques were developed. The first technique is to encode the logic programming in radial basis function neural networks. …”
Get full text
Get full text

Normalized Relational Storage for Extensible Markup Language (XML) Schema by Kamsuriah, Ahmad, Reduan, Samad

“…The algorithm is based on computing a set of minimum covers for all functional dependencies on a universal relation when given XML Functional Dependencies (XFDs) and the schema information. …”
Get full text
Get full text

Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

“…In this thesis, a new quaternion gradient based adaptive algorithm for FIR adaptive filter is developed. The proposed algorithm is capable of processing the generality of quaternion and complex data signals in both noisy and noise-free environments. …”
Get full text
Get full text
Get full text

A study on one way hashing function and its application for FTMSK webmail / Mohd Rosli Mohd Daud by Mohd Daud, Mohd Rosli

“…Password is a normal way to securing data from intruders. The widespread use of password is in email account. …”
Get full text
Get full text

Improved expectation maximization algorithm for Gaussian mixed model using the kernel method by Mohd Yusoff, Mohd Izhan, Mohamed, Ibrahim, Abu Bakar, Mohd Rizam

“…We show via simulation that the technique improves the performance of the algorithm. …”
Get full text
Get full text
Get full text

A Method for Mapping XML DTD to Relational Schemas In The Presence Of Functional Dependencies by Ahmad, Kamsuriah

“…To approach this problem, the classical relational database design through normalization technique that based on known functional dependency concept is referred. …”
Get full text
Get full text

A study on one way hashing function and its application for FTMSK webmail / Noor Hasimah Ibrahim Teo by Ibrahim Teo, Noor Hasimah

“…A prototype is developed using MD5 algorithm and based on prototype approach, since it study on existing system. …”
Get full text
Get full text

Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification by Ahmad, Fadzil

“…Based on the occurrences of the best result obtained by an algorithm across different test functions; it is proven that the proposed method outperforms standard GA. …”
Get full text
Get full text

Robust Kernel Density Function Estimation by Dadkhah, Kourosh

“…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
Get full text
Get full text

Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

“…The models were trained with normalized and non-normalized data. The selected ANFIS model was trained with normalized data with 6 Gaussian membership functions for each of 9 inputs and 6 rules. …”
Get full text
Get full text

DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS by MUHAMMAD AMIR AFIQ, MOHAMED

“…The techniques used is the sensor will take a data on many cars, the length of the farthest vehicle from the sensor and traffic speed of each traffic flow. …”
Get full text
Get full text

An automated cervical pre-cancerous diagnostic system by Nor Ashidi, Mat-Isa, Mohd Yusoff Mashor, Nor Hayati, Othman

Get full text

Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data by Shakir, Mohamed, Malik, Aamir Saeed, Kamel, Nidal S., Qidwai, Uvais

“…The system distinguishes between 'Normal', ‘Pre-Seizure’ and 'Seizure' states using onthe- fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
Get full text
Get full text

Fuzzification of epileptic data: an application for prediction and identification of partial seizure by Malik, Aamir Saeed, Nasif, Mohammad Shakir, Kamel , Nidal, Qidwai, U.

“…This paper presents a classification technique by using Fuzzy Logic System to identify and predict the partial seizure from epileptic data. …”
Get full text

Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data by Shakir, M., Malik, A.S., Kamel, N., Qidwai, U.

“…The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' states using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
Get full text
Get full text

Development of noise induced hearing loss prediction model using artificial neural network / Siti Fairus Mohd Zain by Mohd Zain, Siti Fairus

“…It also embedded with 10 hidden layers in the prediction models using Levenberg-Marquardt algorithm as a transfer function from input vectors to the five binary outputs. …”
Get full text
Get full text

A development of a damage monitoring system using an embedded fiber Bragg grating sensors by Hafizi, Z. M., Nizwan, Che Ku Eddy, Ghazali, M. F., Idris, Daing Mohamad Nafiz, Sani, M. S.M.

“…For improvement in static strain measurement, the mesh-grid function utilized is capable of meshing the shapes of a structure, and display the deflection of the structure. The voltage normalization algorithm has reduced the output voltage variations from 26 data/minute to 17 data/minute with the elimination of pre-calibration each time before use. …”
Get full text
Get full text

An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms by Zahid, Aafaq

“…The hypothesis is that the tendency of normalization technique to simplify the data combined with the accuracy of the neighborhood models can improve the accuracy of the RS. …”
Get full text
Get full text

Improved normalization and standardization techniques for higher purity in K-means clustering by Dalatu, Paul Inuwa, Fitrianto, Anwar, Mustapha, Aida

“…Clustering is an unsupervised classification method with aim of partitioning, where objects in the same cluster are similar, and objects belong to different clusters vary significantly, with respect to their attributes. The K-means algorithm is a famous and fast technique in non-hierarchical cluster algorithms. …”
Get full text
Get full text
Get full text

Data normalization techniques in swarm-based forecasting models for energy commodity spot price by Yusof, Yuhanis, Mustaffa, Zuriani, Kamaruddin, Siti Sakira

“…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
Get full text
Get full text
Get full text