Search Results - (( code classification based algorithm ) OR ( wave classification using algorithm ))
Search alternatives:
- classification based »
- classification using »
- code classification »
- wave classification »
- using algorithm »
-
1
Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
Published 2015“…In this method, permission-based features were extracted from Android applications byte-code through static code analysis, selected and were used to train supervised classifiers. …”
Get full text
Get full text
Get full text
Article -
2
Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…Several machine learning techniques based on supervised learning have been adopted in the classification of malware. …”
Get full text
Get full text
Get full text
Proceeding Paper -
3
Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes
Published 2014“…Interpretation of propagated high frequency stress wave signals in steel tubes is noteworthy for defect identification.This paper demonstrated a successful new approach for autonomous defect detection in steel tubes using classification analysis of high frequency stress waves.Classification analysis using Principal Component Analysis (PCA) algorithm involved feature extraction to reduce the dimensionality of the complex stress waves propagation path.Two defective tubes containing a slot defect of different orientation and a reference tube are inspected using Vibration Impact Acoustic Emission (VIAE) technique.The tubes are externally excited using impact hammer.The variation of stress wave transmission path are captured by high frequency Acoustic Emission sensor.The propagated stress waves in the steel tubes are classified using PCA algorithm.Classification results are graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of the stress wave signals.The inspection of steel tubes showed good recognition of defect in circumferential and longitudinal orientation.This approach successfully classified stress wave signals from VIAE testing and provide fast and accurate defect identification of defective steel tubes from non-defective tubes. …”
Get full text
Get full text
Get full text
Article -
4
Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection
Published 2024“…Most of the algorithms got promising results and classify packets based on DSCP accurately. …”
Get full text
Get full text
Get full text
Article -
5
Classification of hand gestures from EMG signals / Diaa Albitar
Published 2022“…This study is to develop classification model to classify six hand gestures using Artificial Intelligent algorithm. …”
Get full text
Get full text
Thesis -
6
-
7
Source code classification using latent semantic indexing with structural and frequency term weighting
Published 2012“…This research proposes a Latent Semantic Indexing classifier that integrates information structural and frequency of terms in its weighting scheme.The content terms are identified by extracting words in the source code program. Based on the undertaken experiment the LSI classifier is noted to generate a higher precision and recall compared to the C4.5 algorithm. …”
Get full text
Get full text
Get full text
Article -
8
Scene classification for aerial images based on CNN using sparse coding technique
Published 2017“…Recent developments include several approaches and numerous algorithms address the task. This article proposes a convolutional neural network (CNN) approach that utilizes sparse coding for scene classification applicable for HRRS unmanned aerial vehicle (UAV) and satellite imagery. …”
Get full text
Get full text
Article -
9
Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification
Published 2012“…In video coding, research is focused on the development of fast motion estimation (ME) algorithms while keeping the coding distortion as small as possible. …”
Get full text
Get full text
Get full text
Article -
10
Scene classification for aerial images based on CNN using sparse coding technique
Published 2023Article -
11
Machine learning approach for stress detection based on alpha-beta and theta-beta ratios of EEG signals
Published 2021“…A classification model is developed from the clustering model gained and Naïve Bayes shows the highest accuracy which is 95% in compared to the other four common machine learning algorithms (i.e., SVM, Logistic, IBk, and SGD) by using WEKA. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
12
Empirical Analysis of Intra vs. Inter-Subject Variability in VR EEG-Based Emotion Modelling
Published 2018“…This study presents the classification of emotions on EEG signals using commercial BCI headsets known as wearable EEG. …”
Get full text
Get full text
Get full text
Article -
13
Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
Published 2015“…This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. …”
Get full text
Get full text
Book Section -
14
Delineating mangrove forest zone using spectral reflectance
Published 2020“…Species identification with spectral library derived from in-situ measurements using SID algorithm and derived from Landsat 8 using SAM algorithm was done. …”
Get full text
Get full text
Thesis -
15
Assessment of cognitive load using multimedia learning and resting states with deep learning perspective
Published 2019“…It is a well-understood fact that the brain activity increases with the increased demand of cognition. The deep learning algorithm based on Pre-trained convolutional neural network (CNN) networks have been used as a transfer learning for the classification of rest and cognitive states and also assessed the cognitive load using brain waves particularly alpha wave. …”
Get full text
Get full text
Conference or Workshop Item -
16
-
17
Software Classification Using Structure-Based Descriptors
Published 2009“…A total of 2800 programs have been used during the training process while two different datasets of size (28) were used for testing. Based on the undertaken experiment, the IBK algorithm is noted to generate the highest classification accuracy (74.8%) compared to several other algorithms provided in the Weka tool. …”
Get full text
Get full text
Get full text
Thesis -
18
Detection of tube defect using the autoregressive algorithm
Published 2015“…This study is aimed to automate defect detection using the pattern recognition approach based on the classification of high frequency stress wave signals. …”
Get full text
Get full text
Get full text
Get full text
Article -
19
Maldroid- attribute selection analysis for malware classification
Published 2019“…Hence, the objective of this paper is to find the most effective and efficient attribute selection and classification algorithm in malware detection. Moreover, in order to get the best combination between attribute selection and classification algorithm, eight attributes selection and seven categories machine learning algorithm are applied in this study. …”
Get full text
Get full text
Get full text
Article -
20
Machine learning-based enhanced deep packet inspection for IP packet priority classification with differentiated services code point for advance network management
Published 2024“…This study presents an approach to enhance intelligent packet forwarding priority classification on Differentiated Services Code Point (DSCP), leveraging classifiers from machine learning algorithms for Deep Packet Inspection (DPI). …”
Get full text
Get full text
Get full text
Get full text
Article
