Search Results - (( developing challenges detection algorithm ) OR ( java application using algorithm ))
Search alternatives:
- developing challenges »
- challenges detection »
- java application »
- using algorithm »
-
1
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
Get full text
Get full text
Get full text
Thesis -
2
The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The methodology is based on JavaScript and PHP languages for developing a new technique called DetectCombined capable of filtering queries using parameterized queries to protect against SQL injection which is a safe method. …”
Get full text
Get full text
Get full text
Article -
3
Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption
Published 2022“…The selected lightweight geo-encryption algorithm will be implemented in the proposed system, vi which develops by using Java language. …”
Get full text
Get full text
Get full text
Academic Exercise -
4
Smart student timetable planner
Published 2025“…The system is implemented using Node.js with Express for server-side development, HTML, CSS, and JavaScript for the frontend, and Socket.IO for real-time collaboration. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
5
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
Get full text
Get full text
Final Year Project -
6
-
7
Provider independent cryptographic tools
Published 2003Get full text
Get full text
Get full text
Monograph -
8
Machine learning algorithms in context of intrusion detection
Published 2016“…Many machine learning techniques have been developed to cope with this problem. These machine learning algorithms develop a detection model in a training phase. …”
Get full text
Get full text
Conference or Workshop Item -
9
A review of object detection in traffic scenes based on deep learning
Published 2024“…It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. …”
Get full text
Get full text
Get full text
Article -
10
Development of automatic pest sampling and detection system for cash crops
Published 2019“…Connected components algorithm was implemented for insect detection and counting. …”
Get full text
Get full text
Thesis -
11
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
12
-
13
Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010“…For this purpose, two algorithm are has been developed to automatically detect the OC and IC. …”
Get full text
Get full text
Thesis -
14
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
16
HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
Get full text
Get full text
Final Year Project -
17
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…However, anomaly detection is even more challenging when the datasets are high-dimensional and multivariate. …”
Get full text
Get full text
Article -
18
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
“…However, anomaly detection is even more challenging when the datasets are high-dimensional and multivariate. …”
Get full text
Get full text
Article -
19
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…However, anomaly detection is even more challenging when the datasets are high-dimensional and multivariate. …”
Get full text
Get full text
Article -
20
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…However, anomaly detection is even more challenging when the datasets are high-dimensional and multivariate. …”
Get full text
Get full text
Article
