Search Results - (( mobile application based algorithm ) OR ( based identification _ algorithm ))*
Search alternatives:
- based identification »
- application based »
-
1
Data mining in mobile ECG based biometric identification
Published 2014“…Therefore, these outcomes support the usability of ECG based biometric identification in a mobile environment.…”
Get full text
Get full text
Get full text
Article -
2
-
3
A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application
Published 2023“…Theseempiricalresults also conveyed that the superior proposed identification algorithm in this research could be developed as a mobile application for ballistics identification that can significantly reduce the time taken and conveniently perform the ballistics identification tasks.…”
Get full text
Get full text
Get full text
Article -
4
Automated data process in participatory sensing using QR-code and EAN-13 barcode
Published 2018“…The enhanced algorithm was evaluated using a developed prototype which is an Android mobile application of a crowdsourcing data submission based on product price and information, WE+Price, in which, the algorithm was embedded. …”
Get full text
Get full text
Thesis -
5
Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad
Published 2016“…Both models optimize acoustic features for source mobile device identification based on near-silent segments. The proposed feature sets along with selected feature extraction methods from the literature are analyzed and compared by using supervised learning techniques (i.e. support vector machines, nearest-neighbor, naïve Bayesian, neural network, logistic regression, and ensemble trees classifier), as well as unsupervised learning techniques (i.e. probabilistic-based and nearest-neighbor-based algorithms). …”
Get full text
Get full text
Thesis -
6
Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
Get full text
Get full text
Article -
7
Convolutional neural network based mobile application for poisonous mushroom detection
Published 2025“…To address these issues, this study aims to develop a mushroom detection prototype specifically for identifying poisonous mushrooms using a mobile application. The application leverages a Convolutional Neural Network (CNN) algorithm to accurately classify mushrooms based on user-submitted images. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Stress mental health symptom assessment mobile application for young adults
Published 2023“…Mobile health applications, better known as “mHealth” applications, are getting popular nowadays. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
10
The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
Published 2021“…The validation and testing CA attained through NasNetMobile and NasNetLarge models are 100%. Therefore, it could be concluded that the proposed pipeline which consists of CWT-NasNetLarge-kNN is suitable to be adopted to classify wink-based EEG signals for different BCI applications.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Speaker identification through feature fusion based deep learning / Rashid Jahangir
Published 2021“…To address this problem, this study proposes a novel fusion of MFCC and time-based features (MFCCT), which combines the effectiveness of MFCC and time-domain features to improve the accuracy of text-independent speaker identification (SI) systems. …”
Get full text
Get full text
Thesis -
12
Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud
Published 2022“…The objectives of this research are to develop a Malaysian license plate recognition system using a Convolutional Neural Network (CNN) on a web application and evaluate the performance of the system based on accuracy and loss values. …”
Get full text
Get full text
Student Project -
13
-
14
LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET
Published 2017“…Many existing algorithms tried to solve this issue but not completely. …”
Get full text
Get full text
Get full text
Article -
15
Contactless palmprint verification using siamese networks
Published 2022“…Biometric based identification technology can be seen taking multiple forms. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
16
DEVELOPMENT OF POINT CLOUD DESCRIPTORS FOR ROBUST 3D RECOGNITION
Published 2015“…These limitation prevented object recognition algorithms from being implemented on embedded devices (e.g: smartphones) and mobile robots specially for mapping applications.…”
Get full text
Get full text
Thesis -
17
A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim
Published 2017“…Second, network aware applications architecture for E-Learning system was also proposed to dynamically adjust the users' demand based on network resources. …”
Get full text
Get full text
Thesis -
18
Maize leaf disease detection and classification using Convolutional Neural Network (CNN) / Syafiqah Amir
Published 2023“…The labelled dataset is then used to create and train a CNN architecture which define the type of the leaf based on its category. The dataset used in this project consist of 800 images of four category of leaf achieved 90 percent of accuracy by using the CNN algorithm.…”
Get full text
Get full text
Thesis -
19
Human activity and posture classification using smartphone sensors and Matlab mobile
Published 2022“…Activity recognition has been used in various ways as technology has advanced, particularly using a smartphone-based approach. This work aims to evaluate the accuracy of the triaxial accelerometer in the Matlab Mobile and examine the development and performance of the algorithms in identifying human motions on individuals of similar ages and physical appearances. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
20
Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning
Published 2021Get full text
Get full text
Monograph
