Search Results - (( using function methods algorithm ) OR ( using factorization (matching OR machine) algorithm ))

Disparity map algorithm for stereo matching process using local based method by Gan, Melvin Yeou Wei

“…Global method performs a matching process using global energy or a probability function over the whole image. …”
Get full text
Get full text
Get full text
Get full text

Landslide risk zoning using support vector machine algorithm by Ghiasi V., Pauzi N.I.M., Karimi S., Yousefi M.

“…The weighted maps were then combined using the support vector machine algorithm. For the training and testing of the machine, 81 slippery ground points and 81 non-sliding points were used. …”

Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr... by Sammen S.S., Ehteram M., Sheikh Khozani Z., Sidek L.M.

“…For water level prediction, lagged rainfall and water level are used. In this study, we used extreme learning machine (ELM)-multi-kernel least square support vector machine (ELM-MKLSSVM), extreme learning machine (ELM)-LSSVM-polynomial kernel function (PKF) (ELM-LSSVM-PKF), ELM-LSSVM-radial basis kernel function (RBF) (ELM-LSSVM-RBF), ELM-LSSVM-Linear Kernel function (LKF), ELM, and MKLSSVM models to predict water level. …”

Predictive modelling of machining parameters of S45C mild steel by Abbas, Adnan Jameel

“…The PSO1 algorithm which used first main temperature objective function gives the best roughness value (0.52 μm) compared with other algorithms, followed by the AIS2 and PSO2 that give (0.86 μm). …”
Get full text
Get full text
Get full text

Assisted History Matching by Using Recursive Least Square and Discrete Cosine Transform by Abu Talib, Muhammad Ashraf

“…From the result, the combination of RLS and DCT are successful and can be used for history matching purpose.…”
Get full text
Get full text

Modeling time series data using Genetic Algorithm based on Backpropagation Neural network by Haviluddin

“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
Get full text
Get full text

Design Of FPGA-Based Encryption Chipusing Blowfish Algorithm by Khor, Lay Hoong

“…However, until now, the cryptography hardware is still not commonly used especially in FPGA. In this project, the Blowfish encryption algorithm is chosen because it is among the safest algorithm used nowadays. …”
Get full text
Get full text

Random forest algorithm for co2 water alternating gas incremental recovery factor prediction by Belazreg, L., Mahmood, S.M., Aulia, A.

“…The aim of this paper is using an ensemble machine learning algorithm to develop a WAG incremental recovery factor predictive model that can be used by reservoir engineers to estimate WAG incremental recovery factor prior kick-off of laboratory experiments and comprehensive technical studies. …”
Get full text
Get full text

Improving named entity recognition accuracy of gene and protein in biomedical text by Tohidi, Hossein

“…The proposed approach is evaluated based on two measures: recall and precision which are used to calculate a balanced F-test. We have compared our pattern matching function with the other methods and result is satisfied as precision is 98.5% and recall is 96.4%, while the F-test is 97.5 for both gene and protein names recognizing and precision is 99.3% and recall is 99.1%, while the F-test is 99.1 for protein names recognizing.…”
Get full text
Get full text

Prediction of lattice constant of pyrochlore compounds using optimized machine learning model by Mohamad Zamri, Isma Uzayr, Abd Rahman, Mohd Amiruddin, Bundak, Caceja Elyca

“…Three different kernel functions were used in PSO-SVR (Linear, Polynomial, and RBF kernel) shows that PSO-SVR algorithm with RBF function had better accuracy than other kernel functions. …”
Get full text
Get full text

Predicting noise-induced hearing loss (NIHL) in TNB workers using GDAM algorithm by Rehman Gillani, Syed Muhammad Zubair

“…Despite providing useful information on hearing loss, these studies have neglected some important factors. …”
Get full text
Get full text
Get full text
Get full text

Artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

Get full text
Get full text
Get full text

Optimized Load Balancing based Task Scheduling in Cloud Environment by Noraziah, Ahmad, Sultan, Elrasheed Ismail, Faisal, Alamri, Abdalla, Ahmed N.

“…In addition, the salient feature of this algorithm is to optimize node available throughput dynamically using MatLab10A software. …”
Get full text
Get full text
Get full text

Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fajila, Fathima, Yusof, Yuhanis

“…The proposed algorithm, named the CFS-Mutable Composite Firefly Algorithm (CFS-MCFA), is evaluated based on two metrics, namely classification accuracy and genes subset size, using a Support Vector Machine (SVM) classifier. …”
Get full text
Get full text
Get full text

A functional link neural network with modified cuckoo search for prediction tasks by Abu Bakar, Siti Zulaikha

“…Neural network, especially the Multi-Layer Perceptron (MLP) which uses Back Propagation algorithm (BP) as a supervised learning method, has been successfully applied in various problems for meteorological prediction tasks. …”
Get full text
Get full text
Get full text
Get full text

A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

“…While the firefly algorithm solution is superior, it has a higher time complexity compared to other algorithms used when there are more hidden layers and neurons. …”
Get full text
Get full text
Get full text

Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field by Toh, Cheng Chuan

“…Theoretically,β and α is parameters that used to vary the NMF2D algorithm in order to yield high SDR value. …”
Get full text
Get full text
Get full text
Get full text

Fractal coding of bio-metric image for face authentication by Ahadullah, Md

“…The first method (CPM) blueprints blocking dimension, pooling factor, method, and block matching. …”
Get full text
Get full text

Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield. by Md. Sap, Mohd. Noor, Awan, A. Majid

“…The proposed algorithm can effectively handle noise, outliers and auto-correlation in the spatial data, for effective and efficient data analysis by exploring patterns and structures in the data, and thus can be used for predicting oil-palm yield by analyzing various factors affecting oil-palm yield.…”
Get full text
Get full text

Groundwater level as an input to monthly predicting of water level using various machine learning algorithms by Sapitang M., Ridwan W.M., Ahmed A.N., Fai C.M., El-Shafie A.