Search Results - (( based optimisation based algorithm ) OR ( data estimation using algorithm ))
Search alternatives:
- based optimisation »
- optimisation based »
- data estimation »
- using algorithm »
-
1
Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system
Published 2021“…However, the problem of using the KNN algorithm is the fixed K value does not guarantee accurate estimation at every position. …”
Get full text
Get full text
Get full text
Article -
2
Genetic algorithm for control and optimisation of exothermic batch process
Published 2013“…As such, another approach, GA is proposed to optimise the productivity without referring to a predetermined profile, namely genetic algorithm optimiser (GAO). …”
Get full text
Get full text
Get full text
Thesis -
3
INTELLIGENT MODELLING OF GRADIENT FLEXIBLE PLATE STRUCTURE UTILISING HYBRID EVOLUTIONARY ALGORITHM
Published 2023“…First, evolutionary algorithms, namely particle swarm optimisation (PSO) and grey wolf optimisation (GWO) were used in developing GFPS dynamic model and their performances were compared. …”
Get full text
Get full text
Thesis -
4
The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…It will help the researcher get the fitted graph model, correct data, and estimate the value based on the data’s behaviour. …”
Get full text
Get full text
Get full text
Article -
5
Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search
Published 2014“…These problems resulted in estimation errors and high computational cost. Hybrid genetic algorithm (GA) and Nelder-Mead local search mode 1 has been used to minimize demand estimation errors. …”
Get full text
Get full text
Get full text
Thesis -
6
Analysis of the ECG signal using SVD-based parametric modelling technique
Published 2011“…A two-stage procedure is then used to estimate the EDS model parameters. Prony’s algorithm is first used to obtain initial estimates of the model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. …”
Get full text
Get full text
Get full text
Proceeding Paper -
7
Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
8
Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty
Published 2025“…Abnormal data are replaced with highly correlated data, and the data is standardized. …”
Article -
9
Improvement of routing protocol in wireless sensor network for energy consumption to maximize network lifetime
Published 2013“…This document is a study about hierarchical cluster-based routing protocol algorithm where the implementation was done using Matlab simulator to study the performance of this algorithm in term of lifetime. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
10
Ocean Colour Remote Sensing Of Case 2 Waters Using An Optimised Neural Network
Published 2016“…In Penang coastal area, the use of single and multitemporal remote sensing data for estimation of Cs and Cchl has been studied. …”
Get full text
Get full text
Thesis -
11
Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration
Published 2022“…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
12
Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat
Published 2024“…This is due to the data generated from the numerical model possess the pattern for the ML algorithm ease of prediction. …”
Get full text
Get full text
Get full text
Thesis -
13
Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…The advantage of using these algorithms is obvious as they would speed up the computation to obtain higher accuracy with less computation effort. …”
Get full text
Get full text
Get full text
Thesis -
14
Sensor node placement based on lexicographic minimax
Published 2023“…This paper proposed a sensor nodes placement technique which is based on the lexicographic minimax algorithm. Performance study has been carried out by comparing the performance of the lexicographic minimax sensor node placement scheme with traditional minimax technique in terms of coverage ratio and uniformity. …”
Conference paper -
15
Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
Published 2025“…Adaptive Moment Estimation (Adam) and Adaptive Nesterov Accelerated Gradi- ent (Adan), two well-known optimizers, are widely used in deep learning for their ability to handle large-scale data and complex models efficiently. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
16
Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad
Published 2016“…Forensic techniques can be used to identify the source of a digital data. This is also known as forensic characterization, which means identifying the type of device, model, and other characteristics. …”
Get full text
Get full text
Thesis -
17
ExploreEasy: Smart and all-in-one trip management application
Published 2025“…This research presents an AI-driven trip planning and recommendation system that employs a Hybrid Recommendation Algorithm, integrating Collaborative Filtering (CF) and Content-Based Filtering (CBF) to provide highly customised travel itineraries. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
18
-
19
-
20