Search Results - pre evaluation ((method algorithm) OR (means algorithm))

Whole brain radiation therapy verification using 2D gamma analysis method by Zainodin, Nik Nurul Afina Wan

“…The CC algorithm gave the passing rate of 87.25% using 3 mm/3% (DTA/DD) method than PB algorithm with 79.95%. …”
Get full text
Get full text

A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds by Salim, Naomie, Shah, J. Z.

“…The results of the algorithm show significant improvement in comparison to a similar implementation of the hard c-means algorithm.…”
Get full text
Get full text
Get full text

Fuzzy clustering method and evaluation based on multi criteria decision making technique by Sameer, Fadhaa Othman

“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
Get full text
Get full text
Get full text

Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

“…To evaluate the algorithm, we conducted two experiments. …”
Get full text
Get full text

Data mining based damage identification using imperialist competitive algorithm and artificial neural network by Gordan, Meisam, Razak, Hashim Abdul, Ismail, Zubaidah, Ghaedi, Khaled

“…The efficiency coefficient and mean square error (MSE) are used to evaluate the performance of the ICA-ANN model. …”
Get full text
Get full text

Weighted subsethood segmented fuzzy time series for moving holiday electricity load demand forecasting by Mansor, R., Kasim, M.M., Othman, M.

“…The results show that the WeSuSFTS algorithm can be one alternative electricity moving holiday load demand forecasting method and the algorithm achieves its lowest mean absolute percentage error (MAPE) at 2.8 only. …”
Get full text
Get full text

M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589) by Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod, Zaini, Bahtiar Jamili

“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
Get full text
Get full text

Non-fiducial based electrocardiogram biometrics with kernel methods by Hejazi, Maryamsadat

“…At classification level, Gaussian multi-class Support Vector Machine (SVM) with the One-Against-All (OAA) approach is proposed to evaluate verification performance rates of the feature extraction algorithms. …”
Get full text
Get full text

The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
Get full text
Get full text

Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

“…Next, when the pre-stated termination condition is fitted, each method is evaluated based on the statistical analysis involving the objective function, the total norm of the error and total norm of the input. …”
Get full text
Get full text

Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

“…Next, when the pre-stated termination condition is fitted, each method is evaluated based on the statistical analysis involving the objective function, the total norm of the error and total norm of the input. …”
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

A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

“…It will detect up to fold in SCOP hierarchy. They evaluated the results obtained using mean ROC and mean MRFP. …”
Get full text
Get full text

A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf. by Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Kabiri, Keivan, Samim-Namin, Kaveh

“…This research attempted to develop a new approach to estimate k d in blue and green bands of QuickBird satellite image based on the integration of Lyzenga’s method and updated NASA-k d 490 algorithm. To do this, the Lyzenga’s method was utilized to determine the ratio of k d in different bands of QuickBird satellite image. …”
Get full text
Get full text

Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

“…Finally, the system employs a query formulation via node algorithm (QRYFv) algorithm to improve the selection of structured queries that best match user query Experiments have been conducted to evaluate the performance of the proposed enrichment method, XKQSS and RAXKQSS. …”
Get full text
Get full text
Get full text

Pipeline condition assessment by instantaneous frequency response over hydroinformatics based technique—An experimental and field analysis by Muhammad Hanafi, Yusop, Ghazali, M. F., Mohd Fadhlan, Mohd Yusof, Muhammad Aminuddin, Pi Remli

“…The proposed mathematical algorithm was then finally evaluated on field measurement tested on-site of a real pipeline system. …”
Get full text
Get full text
Get full text

Unsupervised Eye Blink Artifact Identification in Electroencephalogram by Egambaram, A., Badruddin, N., Asirvadam, V.S., Fauvet, E., Stolz, C., Begum, T.

“…In this work, an approach that identifies EB artifacts without human supervision and automated varying threshold setting is proposed and evaluated. The algorithm functions on the basis of correlation between two EEG electrodes, Fp1 and Fp2, followed by EB artifact threshold determination utilizing the amplitude displacement from the mean. …”
Get full text
Get full text

Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification by Myaser, Jwan

“…The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
Get full text
Get full text

Customer mobile behavioral segmentation and analysis in telecom using machine learning by Sharaf Addin, Eman Hussein, Admodisastro, Novia Indriaty, Mohd Ashri, Siti Nur Syahirah, Kamaruddin, Azrina, Chew, Yew Chong

“…Unsupervised machine learning algorithm K-means was used to cluster the data, and these results were analyzed and labeled with labels and descriptions. …”
Get full text
Get full text

Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

“…In this study, spherical coordinate conversion process and segmentation frame using mean function were used. The experiments have achieved 95.56 % in accuration rates for Correlation-based Feature Subset Evaluation (CfsSubsetEval).…”
Get full text
Get full text