Search Results - (( java machine learning algorithm ) OR ( program implementation best algorithm ))
Search alternatives:
- program implementation »
- implementation best »
- learning algorithm »
- best algorithm »
- java machine »
-
1
Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
Get full text
Get full text
Conference or Workshop Item -
2
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
Get full text
Get full text
Monograph -
3
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This work employed the use of machine learning approach. Four conventional classification algorithms: naïve bayes (NB), support vector machines (SVM), nearest neighbor (k-NN), and decision trees (J48) classifiers are implemented in identifying and categorizing tweet data of three political figures in Malaysia: Dato Seri Anwar, Dato Hadi Awang, and Lim Guang Eng, as either positive, negative, or neutral perceptions. …”
Get full text
Get full text
Get full text
Thesis -
4
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. …”
Get full text
Get full text
Get full text
Article -
5
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…While numerous methods have been proposed, machine learning (ML) is the most popular approach that has been applied across the globe. …”
Conference Paper -
6
AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. …”
Get full text
Get full text
Get full text
Article -
7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
Get full text
Get full text
Thesis -
8
A new domain specific scripting language for automated machine learning pipeline
Published 2019“…This paper concerns on two difficulties faced by non-expertsâ�� users in the utilization of machine learning; design of the model and the programming task for implementation. From the varieties of the machine learning algorithms, selecting the best model with the best configurations is a critical and complex design issue. …”
Get full text
Get full text
Article -
9
Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…Definitely this best first search algorithm saves the searching time and improves performance of shortest path finding.…”
Get full text
Get full text
Thesis -
10
Implementation Of Hardware Software Partitioning In Embedded System
Published 2018Get full text
Get full text
Monograph -
11
-
12
Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…Therefore, a hybrid algorithm through an incorporation of Integer Programming and Improved Genetic Algorithm was proposed for planting lining design. …”
Get full text
Get full text
Thesis -
13
Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…Using 10-fold cross validation for each algorithm, it was found that decision tree was the best algorithm with 83.6944% correctness. …”
Get full text
Get full text
Conference or Workshop Item -
14
Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
Get full text
Get full text
Thesis -
15
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009Get full text
Get full text
Get full text
Conference or Workshop Item -
16
A DC motor controller using PID algorithm implementation on PIC
Published 2008“…Then, a PIC microcontroller is programmed by adding the value of tuned PID algorithm to control the speed of DC servo motor. …”
Get full text
Get full text
Undergraduates Project Papers -
17
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This algorithm has been tested and implemented successfully via a dual beam optical scanning system.…”
Get full text
Get full text
Thesis -
18
Logic Programming In Radial Basis Function Neural Networks
Published 2013“…The analysis revealed that performance of particle swarm optimization algorithm and Prey predator algorithm are better to use in training the networks. …”
Get full text
Get full text
Thesis -
19
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
Get full text
Get full text
Get full text
Article -
20
A new meta heuristic evolutionary programming (NMEP) in optimizing economic energy dispatch
Published 2016“…The proposed optimization algorithm, namely New Meta-Heuristic Evolutionary Programming (NMEP) algorithm is followed to Meta-Heuristic Evolutionary Programming (Meta-EP) approach with some modification where the cloning process embedded as a significant progress during the implementation. …”
Get full text
Get full text
Get full text
Article
