Search Results - (( java implementation phase algorithm ) OR ( causing problems machine algorithm ))
Search alternatives:
- implementation phase »
- java implementation »
- machine algorithm »
- causing problems »
- problems machine »
- phase algorithm »
-
1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
Get full text
Get full text
Thesis -
2
Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
Get full text
Get full text
Article -
3
Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
Get full text
Get full text
Article -
4
Ant colony optimization (ACO) algorithm for CNC route problem
Published 2012“…The holes on the PCB had been drilled by using Computer Numerical Controlled (CNC) machines. However, the CNC machines do not choose the optimal route when completing their task and this caused the high cost problem on the machining. …”
Get full text
Get full text
Undergraduates Project Papers -
5
Extending the decomposition algorithm for support vector machines training
Published 2003“…The training of SVM is not as straightforward as it seems. Numerical problems will cause the training to give non- optimal decision boundaries. …”
Get full text
Get full text
Get full text
Article -
6
Higher desirability in solving multiple response optimization problems with committee machine
Published 2014“…Committee machine (CM) as a set of some experts such as some artificial neural networks (ANNs) in combination with genetic algorithm (GA) is applied for modeling and optimization of MRO problems. …”
Get full text
Get full text
Get full text
Article -
7
Machine learning model for performance prediction in mobile network management / Muhammad Hazim Wahid
Published 2022“…One of the major challenges when applying machine learning is to identify the best algorithm from a variety of algorithms to solve a problem. …”
Get full text
Get full text
Thesis -
8
Evaluating the performance of machine learning techniques in the classification of Wisconsin Breast Cancer
Published 2018“…Breast cancer is a considerable problem among the women and causes death around the world. …”
Get full text
Article -
9
Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
Published 2019“…Due to the success of many classification problems been proposed with good result, k-Nearest Neighbour, Artificial Neural Network, and Support Vector Machine algorithms are used in this research.…”
Get full text
Get full text
Thesis -
10
-
11
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
Get full text
Get full text
Get full text
Article -
12
Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
13
An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
Published 2021“…Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Optimization of cnc turning parameters for minimizing temperature rise in aluminum using a genetic algorithm
Published 2024“…To minimize the temperature rise during machining, the cutting speed, feed rate, depth of cut, and nose radius are optimized in this study using a single-objective genetic algorithm. …”
Get full text
Get full text
Thesis -
15
Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
Get full text
Get full text
Thesis -
16
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…The CNN algorithm produces better results with an accuracy of 97.07%, compared with the SVM algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
17
-
18
Development of a syncope classification algorithm from physiological signals acquired in tilt-table test
Published 2023“…Syncope also known as transient loss of consciousness which caused problem to human daily life. Since machine learning is much more advanced, classification of syncope can be done with machine learning. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
Household overspending model amongst B40, M40 and T20 using classification algorithm
Published 2020“…The model development employs five machine learning algorithms namely decision tree, Naive Bayes, Neural network, Support Vector Machines, Nearest Neighbour. …”
Get full text
Get full text
Get full text
Article -
20