Search Results - (( develop competing values algorithm ) OR ( java implication tree algorithm ))

A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions by Syaripudin, Undang

“…Lecturer competency measurement is carried out by first checking employee status using the SVM algorithm with an accuracy value of 72.28%, then using a hybrid SVM and PSO algorithm with an accuracy value of 100%. …”
Get full text
Get full text
Get full text
Get full text

Cutpoint determination methods in competing risks subdistribution model by Noor Akma Ibrahim, Abdul Kudus, Isa Daud, Mohd. Rizam Abu Bakar

“…Five cutpoint determination methods are developed based on regression of competing risks subdistribution. …”
Get full text
Get full text

Cutpoint determination methods in competing risks subdistribution model by Ibrahim, Noor Akma, Kudus, Abdul, Daud, Isa, Abu Bakar, Mohd Rizam

“…Five cutpoint determination methods are developed based on regression of competing risks subdistribution. …”
Get full text
Get full text
Get full text

Capabilities and competencies related to leadership performance effectiveness in the context of change in Malaysian Higher Education Institutions / Majid Ghasemy by Majid , Ghasemy

“…Additionally, five models for the contribution of capabilities and competencies to leadership performance in Malaysian HE and its sectors were developed. …”
Get full text
Get full text
Get full text

Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm by Hoque M.M., Hannan M.A., Mohamed A.

Review of the research landscape of multi-criteria evaluation and bench- marking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended so... by Mohammed, R. T., Yaakob, R., Zaidan, A. A., Sharef, N. M., Abdullah, R. H., Zaidan, B. B., Dawood, K. A.

“…Evaluation and benchmarking of many-objective optimization (MaOO) methods are complicated. The rapid development of new optimization algorithms for solving problems with many objectives has increased the necessity of developing performance indicators or metrics for evaluating the performance quality and comparing the competing optimization algorithms fairly. …”
Get full text
Get full text

Modelling and estimation of vehicle tracking using and improved particle filter by Khong, Wei Leong

“…Subsequently, the developed algorithm has also reduced 50.2 % of the resampling particles when the target vehicle reappears but still partially occluded from the occlusion as compared to the fundamental resampling approach.…”
Get full text
Get full text
Get full text

Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

“…The Expectation Maximization (EM) algorithm is utilized to obtain the estimate of the parameters in the models. …”
Get full text
Get full text

Competence-Oriented Decision Model for Optimizing the Operation of a Cascading Hydroelectric Power Reservoir by Asfaw, Tilahun Derib, Wan Yusof, Khamaruzaman, Hashim, Ahmad Mustafa

Get full text
Get full text
Get full text

Multi-agent reinforcement learning for Bai ethnic traditional dwelling protection in Dali : cultural identity-oriented community relationship optimization and urbanization adaptati... by Xiaohua, Qian, Neilson Ilan, Mersat, Haslina, Hashim, Bemen Wong, Win Keong

Get full text
Get full text
Get full text

Development of FRID based 2d localization simulation for autonomous guided vehicle tracking in indoor environment by Al Hazza, Muataz Hazza Faizi, Zainal, Nur Izzati Zainal, Rodzi, Mohd Zuhaili Mohd

“…The fast pace of technological development urges manufacturers to upgrade their systems to compete with the current industry. …”
Get full text
Get full text
Get full text
Get full text

The effect of balanced scorecard on business performance : a mediating effect of new product development success in food and beverage industry in Malaysia by Zhengxiaoming, Aminaimu

“…The theoretical framework was created based on previous literature and model validity was measure using Smart PLS 3.2.8. The PLS–SEM algorithm showed the highest outer loading value, which invariably met the threshold cut off value. …”
Get full text
Get full text

Numerical approach for delay volterra integro-differential equation by Nur Auni Baharum, Zanariah Abdul Majid, Norazak Senu, Haliza Rosali

“…Some numerical results are tested to validate the competency of the multistep block method with quadrature rule approach.…”
Get full text
Get full text
Get full text

Numerical approach for delay Volterra integro-differential equation by Baharum, Nur Auni, Abdul Majid, Zanariah, Senu, Norazak, Rosali, Haliza

“…Some numerical results are tested to validate the competency of the multistep block method with quadrature rule approach.…”
Get full text
Get full text

A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure‑free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Kee, Huong Lai

“…In this present study, a novel feature selection scheme based on the discrete wavelet packet decomposition and cuckoo search algorithm (CSA) was proposed. The normal as well as epileptic EEG record-ings were first decomposed into various frequency bands by means of wavelet packet decomposition, and subsequently, statistical features at all developed nodes in the wavelet packet decomposition tree were derived. …”
Get full text
Get full text
Get full text

A New Model For Network-Based Intrusion Prevention System Inspired By Apoptosis by Mohammed Nadir bin Ali

A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Kee, Huong Lai

“…In this present study, a novel feature selection scheme based on the discrete wavelet packet decomposition and cuckoo search algorithm (CSA) was proposed. The normal as well as epileptic EEG recordings were frst decomposed into various frequency bands by means of wavelet packet decomposition, and subsequently, statistical features at all developed nodes in the wavelet packet decomposition tree were derived. …”
Get full text
Get full text

An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification by Kumar, Narender, Kumar, Dharmender

“…The different variants of GWO have been developed in the last 5 years for solving optimization problems in diverse fields. …”
Get full text
Get full text
Get full text
Get full text

Feature selection and optimal neural network algorithm for the state of charge estimation of lithium-ion battery for electric vehicle application by Hossain Lipu M.S., Hannan M.A., Hussain A.

An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Abdul Majid, Zanariah

“…Recently, one artificial intelligence technique, known as artificial neural network (ANN), has brought advanced development to the arena of mathematical research. It competes effectively with other traditional methods in providing accurate solutions for fractional differential equations (FDEs). …”
Get full text
Get full text