Search Results - (( Parallel detection method algorithm ) OR ( Parallel detection means algorithm ))
Search alternatives:
- parallel detection »
- method algorithm »
- means algorithm »
-
1
Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…Hence, it is critical for an anomaly detection algorithm to detect data anomalies patterns. …”
Get full text
Get full text
Thesis -
2
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 -
3
New CFAR algorithm and circuit development for radar receiver
Published 2020“…The last MATLAB test for MSS-CA- vi CFAR with a spiky exponential model shown in Table 4.3 in chapter four shows clearly that MSS-CA-CFAR detects nine targets from ten that means the efficiency of detection of the proposed method is 90%. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout's distributed machine-learning environment. …”
Article -
5
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
Get full text
Get full text
Thesis -
6
Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion
Published 2017“…The coefficient computation is performed using recursive prediction error method (RPEM) algorithm which shows a dominant spectral regrowth reduction and in-band distortion reduction with reduced complexity compared to the commonly used slow converging, least mean square algorithm. …”
Get full text
Get full text
Thesis -
7
Enhanced and effective parallel optical flow method for vehicle detection and tracking
Published 2016“…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Parallel Optical Flow method based on Lucas-Kanade algorithm. …”
Get full text
Get full text
Conference or Workshop Item -
8
Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. …”
Get full text
Get full text
Get full text
Get full text
Book -
9
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
Published 2022“…In this paper, a parallel deep learning-based community detection method in large complex networks (CNs) is proposed. …”
Get full text
Get full text
Get full text
Get full text
Article -
10
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 -
11
Parallel system for abnormal cell growth prediction based on fast numerical simulation
Published 2010“…The paper focuses on a numerical method for detecting, visualizing and monitoring abnormal cell growth using large-scale mathematical simulations. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod
“…The scope of this paper is to optimize the DNA sequences alignment on the matrix rilling module by implementing a parallel method of the Smith-Waterman algorithm. This method provides magnificent speed up over than traditional sequential implementation methods while it sensitivity detection is still remained. …”
Get full text
Get full text
Article -
13
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 -
14
Early detection of breast cancer using wave elliptic equation with high performance computing
Published 2008Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Parallel visualization approach of a 3D heart model
Published 2008Get full text
Get full text
Conference or Workshop Item -
16
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
Get full text
Get full text
Get full text
Article -
17
Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using ASIC design flow / Nurzaima Mahmod
Published 2010“…The scope of this paper is to optimize the DNA sequences alignment on the matrix filling module by implementing a parallel method of the SmithWaterman algorithm. This method provides magnificent speed up over than traditional sequential implementation methods while it sensitivity detection is still remained. …”
Get full text
Get full text
Thesis -
18
A parallel ensemble learning model for fault detection and diagnosis of industrial machinery
Published 2023“…Accurate fault detection and diagnosis (FDD) is critical to ensure the safe and reliable operation of industrial machines. …”
Get full text
Get full text
Get full text
Article -
19
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 -
20
Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…As network attackers keep changing their methods of attack execution to evade the deployed intrusion-detection systems (IDS), machine learning (ML) algorithms have been introduced to boost the performance of the IDS. …”
Get full text
Get full text
Conference or Workshop Item
