Search Results - (( based evaluation method algorithm ) OR ( related information sharing algorithm ))*

Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks by Mohammed Abdulrazak, Fuaad Hasan

“…Thus, leading to the improvement of the throughput while adhering to the delay pre-requisites. The performance evaluation of the proposed algorithms has been done through a detailed and extensive discrete-event-simulation analysis. …”
Get full text
Get full text

An enhanced sequential exception technique for semantic-based text anomaly detection by Taiye, Mohammed Ahmed

“…The experimental evaluation revealed that ESET has significantly improved the accuracy of detecting semantic-based text anomaly from documents. …”
Get full text
Get full text
Get full text

Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data by Tian, Ying

“…Pie chart is a widely used statistical chart to represent the proportions of various components in a certain entity. The shares of data in a pie chart, also known as compositional data, consist of non-negative values, containing only relative information. …”
Get full text
Get full text

Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

“…Recently, considerable advancement has been achieved in semisupervised multitask feature selection methods, which they exploit the shared information from multiple related tasks. Besides, these algorithms have adopted manifold learning to leverage both the unlabeled and labeled data since its laborious to obtain adequate labeled training data. …”
Get full text
Get full text

Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling by Mohamed, Raihani

“…In addition, three days of house A from ARAS dataset is also selected to evaluate its effectiveness. LC-RF is tested with other base classifiers such as k-NN, SVM and HMM. …”
Get full text
Get full text

Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

“…Recently, considerable advancement has been achieved in semi-supervised multi-task feature selection algorithms, where they have exploited the shared information from multiple related tasks. …”
Get full text
Get full text
Get full text

Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods by Salih, Rawia Tahrir

“…Thus, this research aims to standardize and weigh the evaluation criteria of MaOO competitive algorithms base on fuzzy Delphi and new fuzzy-weighted zero-inconsistency (FWZIC) methods. …”
Get full text
Get full text

Image Retrieval System (RGB) by Zahir, Zarith Suraya

“…Thus, this project showed that images retrieved by using the global color histogram may not be semantically related even though they share similar color distribution in some results. …”
Get full text
Get full text

Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

“…However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
Get full text
Get full text

Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…This technique with k = 10 has been used in this thesis to evaluate the proposed approach. CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
Get full text
Get full text

Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman by Abdul Rahman, Faridah

Get full text
Get full text

Determinants to knowledge transfer and sharing in multimedia super corridor in Malaysia : the mediating role of trust by Meddour, Houcine

“…The results also revealed that the direct relationships between organizational capacity (human resource practices), and organizational environment (information technology, networks) were significantly related to trust. …”
Get full text
Get full text
Get full text

Hybrid subjective evaluation method using weighted subsethood - based (WSBA) rule generation algorithm by Othman, Mahmod, Khalid, Shaiful Annuar, Abdullah, Fader, Amir Hamzah, Shezrin Hawani, Ku-Mahamud, Ku Ruhana

“…The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size.…”
Get full text
Get full text
Get full text

A Systematic Literature Review of Machine Learning Methods for Short-term Electricity Forecasting by Md Salleh N.S., Suliman A., Jorgensen B.N.

Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
Get full text
Get full text

Evaluation of Lightning Current Using Inverse Procedure Algorithm. by Ab Kadir, Mohd Zainal Abidin, Izadi, Mahdi, Askari, Mohamad Tolou, Hajikhani, Maryam

“…In this study an inverse procedure algorithm is proposed in the time domain to evaluate lightning return stroke current based on measured electromagnetic fields at an observation point. …”
Get full text
Get full text

Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images by Tung, Li Qian

“…The algorithm was written by using MATLAB software. The local tone mapping method is based on the modified contrast limited adaptive histogram equalization (CLAHE) method. …”
Get full text
Get full text

Tree-based contrast subspace mining method by Florence Sia Fui Sze

“…The research works involve first preparing the real world numerical and categorical data sets. Then, the tree-based method, the genetic algorithm based parameter values identification of tree-based method, and followed by the genetic algorithm based tree-based method, for numerical data sets are developed and evaluated. …”
Get full text
Get full text
Get full text

Evaluation of dynamic programming among the existing stereo matching algorithms by Teo, Chee Huat, Nurulfajar, Abd Manap

“…The dynamic programming algorithm used on this research is the current method as its disparity estimates at a particular pixel and all the other pixels unlike the old methods which with scanline based of dynamic programming. …”
Get full text
Get full text
Get full text

Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

“…In the first and second phases, a threshold fuzzy c-means clustering algorithm as a clusterer and a pattern ensemble learning method based on the incremental genetic-based algorithms are proposed respectively. …”
Get full text
Get full text