Search Results - (( developing classical detection algorithm ) OR ( java implication _ algorithm ))
Search alternatives:
- developing classical »
- java implication »
-
1
Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals
Published 2014Get full text
Get full text
Final Year Project -
2
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
Get full text
Get full text
Thesis -
3
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…Therefore, the robust location and covariance matrix based on the MRFCH is used instead of the classical estimators to tackle these problems. The proposed algorithm has been applied to detect outliers in the high dimensional data. …”
Get full text
Get full text
Thesis -
4
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 -
5
Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant
Published 2008“…The recent work presents a new method of fault diagnosis based on artificial neural networks and genetic algorithms. The networking is under development to resolve this problem. …”
Get full text
Get full text
Conference or Workshop Item -
6
Simulation Models for Straight Lines Images Detection Using Hough Transform
Published 2001“…It enables, in particular, to develop autoadaptive, fast algorithms for the detection of automated arc line identification. …”
Get full text
Get full text
Thesis -
7
-
8
Robust techniques for linear regression with multicollinearity and outliers
Published 2016“…In addition, although GDFF can detect multiple IO, it has a tendency to detect lesser IO as it should be due to swamping and masking effect. …”
Get full text
Get full text
Thesis -
9
Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation
Published 2020“…Moreover, we achieve a 63.7% mAP for vehicle detection on our dataset. The proposed architecture shows that an elaborate pipeline of multiple steps to develop an algorithm for the FCWS application is eliminated. …”
Get full text
Get full text
Get full text
Article -
10
Sensing Textual Plagiarism
Published 2006“…To realize this, an application that is equipped with the capability of detecting plagiarism from occurring in a textual document is to be developed. …”
Get full text
Get full text
Final Year Project -
11
Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig...
Published 2022“…Therefore, it is critical to develop a smart fall detection system. Many approaches have been proposed in wearable-based systems. …”
Get full text
Get full text
Get full text
Article -
12
Review of CNN in aerial image processing
Published 2023“…In recent years, deep learning algorithm has been used in many applications mainly in image processing of object detection and classification. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
Investigation of data encryption algorithm for secured transmission of electrocardiograph (ECG) signal
Published 2018“…This study demonstrates contributions by applying these ideas to two classical problems on the natural algorithm calculation and signal processing.…”
Get full text
Get full text
Conference or Workshop Item -
14
Deep learning-based water segmentation for autonomous surface vessel
Published 2020“…One approach in implementing the task is through extracting waterlines to enable inferring of vessel orientation and obstacles presence. Classical computer vision algorithms for detection holds limitation in robustness and scalability. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
15
-
16
Robust Kernel Density Function Estimation
Published 2010“…The simulation study demonstrates that, on the whole, the accuracy of the proposed method is better than the competitor methods. The research also develops two new approaches for outlier and potential outlier detection in unimodal and multimodal distributions. …”
Get full text
Get full text
Thesis -
17
Video colorization using canny optimization technique / Irwin Kevin Mueson
Published 2016“…This project will be developing the program that make the colorization on grayscale video is possible to be done, and the grayscale video is obtained from old classic P. …”
Get full text
Get full text
Thesis -
18
A review of Convolutional Neural Networks in Remote Sensing Image
Published 2019“…Recently, convolutional neural network based deep learning algorithm has achieved a series of breakthrough research results in the fields of objective detection, image semantic segmentation and image classification, etc. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…An improvement to the conventional DE algorithm has been made to change it from its classical form to be possibly applied for ambiguous targets range detection for radar system. …”
Get full text
Get full text
Thesis -
20
An optical flow measurement technique based on continuous wavelet transform
Published 2018“…CWT-based technique was accurately estimated the jet flow rate with standard error of 0.15 m/s, and outperformed the classical algorithms, including FFT, and DCC algorithms, which were measured with error of 3.65 m/s and 4.53 m/s respectively. …”
Get full text
Get full text
Article