Search Results - (( java implementation level algorithm ) OR ( parameters activation detection algorithm ))
Search alternatives:
- parameters activation »
- implementation level »
- activation detection »
- java implementation »
- level algorithm »
-
1
AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING
Published 2021“…The encryption algorithms are playing an important part in the protection level for data. …”
Get full text
Get full text
Thesis -
2
Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…Internet communication has become more common in this modern world recently, and one of the important algorithms used is ABS algorithm. However, most of the users have inadequate knowledge and understanding regard to this algorithm implementation in the communication field, as well as the level of security and accuracy will be questioned by the users because of the necessary to maintain the confidentiality of particular data transferred. …”
Get full text
Get full text
Undergraduates Project Papers -
3
Hybrid anti-islanding algorithm for utility interconnection of distributed generation
Published 2009“…This algorithm is based on two detection schemes; namely active and passive. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…It does not consider the LACE algorithm implemented in huge number of server in one Cloud datacenter. …”
Get full text
Get full text
Thesis -
5
Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm
Published 2014“…Peak detection is a significant step in analyzing the electroencephalography (EEG) signal because peaks may represent meaningful brain activities. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
Get full text
Get full text
Get full text
Thesis -
7
A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…Level one is the development of userID and password, level two involve the insertion of the testing parameter speed coding. …”
Get full text
Get full text
Get full text
Thesis -
8
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. The test results show that the Boyer Moore and Knuth Morris Pratt algorithms have an accuracy rate of 100%, and the Horspool algorithm 85.3%. …”
Get full text
Get full text
Journal -
9
An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…We use a parallel technique that divides RSA power process into seperate threads and employs the use of Chinese Remainder Theorem (CRT) to decrease the time required for both encryption and decryption operation. Java programming language is used to implement the algorithm. …”
Get full text
Get full text
Get full text
Article -
10
Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors
Published 2020“…The results showed that the amplitude-independent algorithm performed better in terms of detecting weak muscle activity and resisting false alarms.…”
Get full text
Get full text
Get full text
Article -
11
Fraud detection in telecommunication industry using Gaussian mixed model
Published 2013“…The prevalence of fraud activities in telecommunication industry has reached a critical point so that efficient algorithms to identify such activities are greatly needed. …”
Get full text
Get full text
Conference or Workshop Item -
12
A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection
Published 2022“…This article uses a proximity sensor to perform noncontact-based (sensing) chewing activity detection, capturing the temporalis muscle movement during food intake. …”
Get full text
Get full text
Article -
13
-
14
A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection
Published 2022“…This article uses a proximity sensor to perform noncontact-based (sensing) chewing activity detection, capturing the temporalis muscle movement during food intake. …”
Get full text
Get full text
Get full text
Article -
15
Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. …”
Get full text
Get full text
Conference or Workshop Item -
16
Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. …”
Get full text
Get full text
Conference or Workshop Item -
17
Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…The active contour method (Chan-Vese) was utilized to extract the ROI parameters (hippocampus). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
18
Novel chewing cycle approach for peak detection algorithm of chew count estimation
Published 2025“…The peak detection algorithm identifies key signal features, while PSO optimizes the peak prominence and width parameters to minimize the mean absolute error (MAE) in chew count estimation. …”
Get full text
Get full text
Article -
19
Novel chewing cycle approach for peak detection algorithm of chew count estimation
Published 2025“…The peak detection algorithm identifies key signal features, while PSO optimizes the peak prominence and width parameters to minimize the mean absolute error (MAE) in chew count estimation. …”
Get full text
Get full text
Get full text
Article -
20
Mental stress classification based on selected EEG channels using Correlation Coefficient of Hjorth Parameters
Published 2023“…This study introduces a novel channel selection method aimed at identifying highly accurate channels for detecting mental stress. Our approach, known as the Correlation Coefficient of Hjorth Parameters (CCHP), assesses the correlation between activity, mobility, and complexity in the time domain to nominate the most relevant channels. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article
