Search Results - intelligence _ ((max algorithm) OR (cell algorithm))
Search alternatives:
-
1
Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…This thesis focuses on three main stages of the handover procedure in Mobile WiMAX;scanning, cell selection and handover initiation and decision. …”
Get full text
Get full text
Thesis -
2
-
3
WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques
Published 2024thesis::doctoral thesis -
4
Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…This study investigates the use of a novel Proposed Self-Calibration Algorithm (PSCA) of multi pressure sensors in real time on robotic hand glove system. …”
Get full text
Get full text
Thesis -
5
The application of neural networks and min-max algorithm in digital congkak
Published 2013“…A digital Congkak was developed based on Mancala, African traditional game which is similar to Congkak. To make it intelligent, its player agent was developed using a combination of Neural Networks and Min-Max algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
-
7
Fair uplink bandwidth allocation and latency guarantee for mobile WiMAX using fuzzy adaptive deficit round robin
Published 2014“…In this paper, an efficient bandwidth allocation algorithm for the uplink traffic in mobile WiMAX is proposed. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Designing and Developing an Intelligent Congkak
Published 2011“…and “Can Min-Max algorithm (MM) be speeded up by using NN as a forward-pruning method?”. …”
Get full text
Get full text
Get full text
Thesis -
10
Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
Published 2024Subjects:Conference Paper -
11
Data normalization techniques in swarm-based forecasting models for energy commodity spot price
Published 2014“…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
Conference or Workshop Item -
12
An exploration technique for the interacted multiple ant colonies optimization framework
Published 2024Subjects:Conference Paper -
13
Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Focused on computational intelligence models, this thesis describes in-depth investigations on two possible directions to design robust and flexible pattern classification models with high performance. …”
Get full text
Get full text
Thesis -
14
A study of frame timing synchronization for WiMAX applications
Published 2007Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…Therefore, this study presents the prospect of artificial intelligence-based algorithms, control systems, and energy management strategies advances on HFCEVs performance optimization. …”
Review -
16
Modern fuzzy min max neural networks for pattern classification
Published 2019“…To build an efficient classifier model, researchers have introduced hybrid models that combine both fuzzy logic and artificial neural networks. Among these algorithms, Fuzzy Min Max (FMM) neural network algorithm has been proven to be one of the premier neural networks for undertaking the pattern classification problems. …”
Get full text
Get full text
Thesis -
17
Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm
Published 2010“…A new non classification algorithm was developed based on the danger theory model of human immune system (HIS).The abstract model of system algorithm is inspired from HIS cell mechanism mainly, the Dendritic cell behavior and T-cell mechanisms. …”
Get full text
Get full text
Get full text
Citation Index Journal -
18
Interacted Multiple Ant Colonies for Search Stagnation Problem
Published 2010“…Ant Colony Optimization (ACO) is a successful application of swarm intelligence. ACO algorithms generate a good solution at the early stages of the algorithm execution but unfortunately let all ants speedily converge to an unimproved solution. …”
Get full text
Get full text
Get full text
Thesis -
19
Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
Published 2021Get full text
Get full text
Student Project -
20