Search Results - (( parameter classification system algorithm ) OR ( parameter solution using algorithm ))
Search alternatives:
- parameter classification »
- classification system »
- parameter solution »
- system algorithm »
- using algorithm »
- solution using »
-
1
Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023Subjects:Conference Paper -
2
An improved back propagation leaning algorithm using second order methods with gain parameter
Published 2018“…Back Propagation (BP) algorithm is one of the oldest learning techniques used by Artificial Neural Networks (ANN). …”
Get full text
Get full text
Article -
3
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…In addition, the hyperparameter tuning problem is considered in this research to improve the developed hybrid model by using the AOA algorithm. Lastly, a new hybrid technique suggests tackling the current image encryption application problem by using the estimated parameters of chaotic systems with an optimization algorithm, the SKF algorithm. …”
Get full text
Get full text
Thesis -
4
-
5
Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. The objective of this study is to develop an accurate and efficient model capable of recognizing the presence of children in cars based on sound data. …”
Get full text
Get full text
Student Project -
6
Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
Get full text
Get full text
Get full text
Thesis -
7
Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery
Published 2017“…Results were compared with well-known algorithms; including, for example, global and local stereo matching algorithms. …”
Get full text
Get full text
Article -
8
Case study : an effect of noise in character recognition system using neural network
Published 2003“…This projects uses the most popular training method in character recognition problem, namely backpropagation algorithm. …”
Get full text
Get full text
Thesis -
9
Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…These parameters are used to develop a standalone intelligently machine learning adaptive distance relay (ML-ADR) modification. …”
Get full text
Get full text
Thesis -
10
Customer analysis with machine vision
Published 2023“…To evaluate the performance of existing detection models, metrics such as accuracy, precision, recall, F1 score, false detection rate, model size, and parameters are used. To address the issue, the latest algorithms, such as YOLOv5, YOLOv8 and mobilenet ssd, were selected for retraining. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
11
Development of cost reduction mathematical model for natural gas transmission network system
Published 2012“…Since the optimization problem in NGTSs was non terministic polynomial and this complexity would be increased for the development of the NGTSC in the proposed MINLP model, exact methods had to be replaced with metaheuristic methods for finding the global optimum solution. In this research, an Extended Genetic Algorithms (EGA) was investigated to solve the proposed mathematical model and to achieve global or near to global optimum solutions in a reasonable time. …”
Get full text
Get full text
Thesis -
12
Development of drift conversion algorithm for ISFET based pH sensor for continuous measurement system
Published 2018Get full text
Get full text
Research Report -
13
Generating type 2 trapezoidal fuzzy membership function using genetic tuning
Published 2022“…This paper proposes Genetic tuning process, which is a part of genetic algorithm (GA), to adjust parameters in order to improve the behavior of existing system, especially to enhance the accuracy of the system model. …”
Get full text
Get full text
Article -
14
Generating type 2 trapezoidal fuzzy membership function using genetic tuning
Published 2022“…This paper proposes Genetic tuning process, which is a part of genetic algorithm (GA), to adjust parameters in order to improve the behavior of existing system, especially to enhance the accuracy of the system model. …”
Get full text
Get full text
Article -
15
Near-infrared technique for oil palm fruit grading system
Published 2013“…The developed system showed high classification results on accuracy of the maturity detection for the three types of oil palm fruits (nigrescens, virescens, and oleifera ) with rates of 95%, 99%, and 98 %, respectively, using the ANN-MLP classifier; rates of 96%, 99%, and 98 %, respectively, using the KNN classifier; and rates of 76%, 96%, and 94%,respectively, using SVM. …”
Get full text
Get full text
Thesis -
16
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…In this paper, an improved intrusion detection algorithm for multiclass classification was presented and discussed in detail. …”
Get full text
Get full text
Get full text
Article -
17
An accurate infant cry classification system based on continuos hidden Markov model
Published 2023Subjects:Conference Paper -
18
Adaptive parameter control strategy for ant-miner classification algorithm
Published 2020“…This paper presents a new hybrid Ant-Miner classification algorithm and ant colony system (ACS), called ACS-Ant Miner. …”
Get full text
Get full text
Get full text
Article -
19
Real-time oil palm fruit bunch ripeness grading system using image processing techniques
Published 2013“…This system will be useful to the oil palm plantations in Malaysia and the rest of the oil-palm growing world. …”
Get full text
Get full text
Thesis -
20
A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform
Published 2018“…Then, three optimum types of parameters are determined based on noise type. The subsequent phase of the developed system involves the proposed non-linear speech estimator. …”
Get full text
Get full text
Get full text
Thesis
