Search Results - (( develop packaging means algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- develop packaging »
- implication based »
- java implication »
- packaging means »
- means algorithm »
-
1
-
2
Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm
Published 2013“…This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). …”
Get full text
Get full text
Get full text
Article -
3
Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…It can be concluded that the algorithm and model proposed were useful for the development of the prototype. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber
Published 2019“…The implementation phase are done by developing the project based on the Python language and also the gensim package tool that are available for use. …”
Get full text
Get full text
Thesis -
5
Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm
Published 2023“…This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). …”
Article -
6
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
7
Analysis of detection system for cover tape offset in the tap and reel process using neural net time series method
Published 2025“…Notably, the Bayesian Regularization (BR) training algorithm outperformed the Scaled Conjugate Gradient (SCG) training algorithm for cover tape offset's predictive analysis, exhibiting lower Mean Squared Error (MSE) with 0.0015874 for BR compared to 0.0017839 for SCG, consistently lower Mean Absolute Error (MAE) values, stronger linear correlations, and superior overall performance. …”
Get full text
Get full text
Get full text
Get full text
Article -
8
Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
Published 2004“…We proposed KMeans clustering algorithm that is based on multidimensional scaling, joined with neural knowledge based technique algorithm for supporting the learning module to generate interesting clusters that will generate interesting rules for extracting knowledge from stock exchange databases efficiently and accurately.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Pyroelectric infrared sensor for intruder detection
Published 2004“…The personal computer plays a significant role in providing the intelligent centralized controls of the entire system. A software package has been developed for visual display, control mechanism configuration, and embedded server-client application.…”
Get full text
Conference or Workshop Item -
10
Peningkatan halaju suapan maksimum penginterpolasi CNC dedenyut rujukan menggunakan pengaturcaraan selari
Published 2011“…In the recent years, the computer industry has changed a lot in term of hardware development. Multi-core processors were introduced whereby a single computer has two processors working on it and contain multiple logical processors in a single package. …”
Get full text
Get full text
Thesis -
11
Customer mobile behavioral segmentation and analysis in telecom using machine learning
Published 2021“…Unsupervised machine learning algorithm K-means was used to cluster the data, and these results were analyzed and labeled with labels and descriptions. …”
Get full text
Get full text
Article -
12
Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…The ensemble learning technique, changes of activation function in Neural Network as well as the unsupervised learning (k-means clustering algorithm and Friis Transmission Equation) was also applied to classify the multiclass classification in pallet-level. …”
Get full text
Get full text
Thesis -
13
-
14
Face emotion recognition using artificial intelligence techniques
Published 2008“…Three fitness functions are developed, one for the eye and two for the lip (top and bottom lip). …”
Get full text
Thesis -
15
Neuro fuzzy classification and detection technique for bioinformatics problems
Published 2007“…A package of software based on neuro fuzzy model (ANFIS) has been developed using MATLAB software and optimization were done with the help from WEKA. …”
Get full text
Get full text
Get full text
Book Section -
16
Comparing three methods of handling multicollinearity using simulation approach
Published 2006“…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
Get full text
Get full text
Thesis -
17
A Comparative Study On Some Methods For Handling Multicollinearity Problems
Published 2006“…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
Get full text
Get full text
Get full text
Article -
18
A comparative study on some methods for handling multicollinearity problems
Published 2006“…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
Get full text
Get full text
Get full text
Article -
19
A smart metering for energy management system via GSM-SMS based protocol
Published 2011“…The proposed monitoring system consist of a new energy calculation algorithm, offering electricity packages with a intelligent monitoring for daily power consumption connected to base-station via GSM network. …”
Get full text
Get full text
Undergraduates Project Papers -
20
Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…In addition, another two agents have been developed based on Monte Carlo simulation. The first agent employed fuzzy parameters such as, current with its means and variances and the second agent is the probability of outage capacity for each state. …”
Get full text
Get full text
Thesis
