Search Results - parallel detection ((using algorithm) OR (using (algorithmic OR algorithms)))
Search alternatives:
- parallel detection »
- using algorithm »
-
1
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…The results showed that using canopy as a preprocessing step cut the time it proceeds to deal with the significant number of power load abnormalities found in parallel using a fast density peak dataset and the time it proceeds for the k-means algorithm to run. …”
Article -
2
Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…The performance tests are also conducted to assess whether each algorithm can detect most of the true anomalies. The data is supplied using IoT devices, and benchmark datasets are also presented to test the algorithm's performance.…”
Get full text
Get full text
Thesis -
3
Hybrid anti-islanding algorithm for utility interconnection of distributed generation
Published 2009“…Passive detection algorithm uses several types of loads such as resistive, capacitive and inductive connected in parallel and compares the performance of the algorithm in each case.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems
Published 2010“…Therefore, the performance of the existing algorithms needs to be improved both in sequential and parallel to enhance the speed of the detection engine used in SNORT-NIDS. …”
Get full text
Get full text
Thesis -
5
Effect Of The Addition Of Wastepaper To Concrete Mix
Published 2009“…Therefore, the performance of the existing algorithms needs to be improved both in sequential and parallel to enhance the speed of the detection engine used in SNORT-NIDS. …”
Get full text
Get full text
Thesis -
6
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. …”
Get full text
Get full text
Get full text
Article -
7
-
8
A case study : 2D Vs 3D parallel differential equation toward tumor cell detection on multi-core parallel computing atmosphere
Published 2010“…The performance analysis of Multi-Core computing is presented in provisions of speedup, efficiency, effectiveness and temporal performance where the use of 2D and 3D PDEs and parallel algorithms was found to give in remarkable results.…”
Get full text
Get full text
Get full text
Article -
9
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Furthermore, colour threshold analysis and edge detection algorithms are redesigned exclusively to refine the two-dimensional coefficients into a more meaningful low-level representation. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
10
Automatic label removal from digitized weld radiographs
Published 2007“…This paper presents a methodology to remove labels automatically from digitized weld radiographs as part of the automatic weld defect detection process. An algorithm was developed to detect and remove labels printed onto weld radiographs before weld extraction algorithm or defect detection algorithm is applied. …”
Get full text
Get full text
Get full text
Article -
11
Drone Based Image Processing For Precision Agriculture
Published 2019“…At first, the parallel K-means clustering algorithm was applied on the acquired image to segregate various components acquired using UAV. …”
Get full text
Get full text
Monograph -
12
Parallel visualization approach of a 3D heart model
Published 2008Get full text
Get full text
Conference or Workshop Item -
13
Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. …”
Get full text
Get full text
Thesis -
14
Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz’s wave equation on a distributed parallel computing system. …”
Get full text
Get full text
Get full text
Get full text
Book -
15
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Published 2016“…The data flow in GASOS is appropriate in pipelining and parallelization to reduce operational time. A new GASOS-based MUD hardware design for SDMA-OFDM systems is proposed using FPGA architecture. …”
Get full text
Get full text
Article -
16
Development of an automatics parallel parking system for nonholonomic mobile robot
Published 2011“…The ultrasonic sensor and rotary encoder respectively used to detect parking area and measure the detected space. …”
Get full text
Get full text
Conference or Workshop Item -
17
New CFAR algorithm and circuit development for radar receiver
Published 2020“…Therefore, the MSS-CA-CFAR is chosen to implement by practical digital circuit and there is another important feature in the MSS-CFAR algorithm that is parallel processing since the spike selection process is done at the same time with summing of samples process that makes this algorithm much less in processing time from any other algorithm using the same environment. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
18
Skin region detector for real time face detection system
Published 2012“…In the implementation, the region of interest is detected using two algorithms, running in parallel. …”
Get full text
Get full text
Get full text
Proceeding Paper -
19
Design and analysis of management platform based on financial big data
Published 2023“…In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. …”
Get full text
Get full text
Get full text
Article -
20
Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod
“…To optimize the performance of the algorithm by exploiting parallelism in the design several techniques have been developed. …”
Get full text
Get full text
Article
