Search Results - (( using semantic network algorithm ) OR ( using optimization method algorithm ))
Search alternatives:
- semantic network »
- method algorithm »
-
1
An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…This study proposes an Enhanced Sequential Exception Technique (ESET) to detect semantic-based text anomaly by achieving five objectives: (1) to modify Sequential Exception Technique (SET) in processing unstructured text; (2) to optimize Cosine Similarity for identifying similar and dissimilar text data; (3) to hybridize modified SET with Latent Semantic Analysis (LSA); (4) to integrate Lesk and Selectional Preference algorithms for disambiguating senses and identifying text canonical form; and (5) to represent semantic-based text anomaly using First Order Logic (FOL) and Concept Network Graph (CNG). …”
Get full text
Get full text
Get full text
Thesis -
2
An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder
Published 2024“…This study conducted experimental verification based on semantic Evaluation (SemEval) dataset, convolutional neural network (CNN)/Daily Mail dataset and Penn Treebank dataset, and conducted a comparative analysis with existing semantic complexity evaluation methods. …”
Get full text
Get full text
Article -
3
Context enrichment framework for sentiment analysis in handling word ambiguity resolution
Published 2024“…The similarity between ambiguous words and their context words is evaluated using the cosine similarity approach. A rule-based method is introduced to select context words based on their similarity. …”
Get full text
Get full text
Thesis -
4
-
5
Semantic-Based Scalable Decentralized Grid Resource Discovery
Published 2009“…Two Peer-to-Peer (P2P) network layers are used; the first one to connect between the class heads and the second between each class members. …”
Get full text
Get full text
Conference or Workshop Item -
6
Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition
Published 2017“…Recognizing semantic category of objects and scenes captured using vision-based sensors is a challenging yet essential capability for mobile robots and UAVs to perform high-level tasks such as long-term autonomous navigation. …”
Get full text
Get full text
Get full text
Get full text
Article -
7
Deep learning semantic segmentation for water level estimation using surveillance camera
Published 2021“…This work presented two well-established deep learning algorithms, DeepLabv3+ and SegNet networks, and evaluated their performances using several evaluation metrics. …”
Get full text
Get full text
Get full text
Article -
8
Semantic-Based Scalable Decentralized Resource Discovery
Published 2010“…DA describes resource capabilities, and RA carries resource requests that are needed for some applications. We develop a RD algorithm that optimizes the search of the resources on the network. …”
Get full text
Get full text
Conference or Workshop Item -
9
Classification of machine learning engines using latent semantic indexing
Published 2012“…With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software for information retrieval and maintenance purposes is on demand.This work includes the use of Latent Semantic Indexing (LSI) in classifying neural network and k-nearest neighborhood source code programs. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
10
New Instances Classification Framework On Quran Ontology Applied To Question Answering System
Published 2019“…The existing classification approach used machine learning: Backpropagation Neural Network. …”
Get full text
Get full text
Get full text
Article -
11
A semantic conceptualization on tagged bag-of concepts to improve accuracy for sentiment Analysis
Published 2023“…This study comprises four phases: a) data collection and pre-processing, b) concepts extraction from text data using conceptualization method, c) documents deconstruction into TBoC using Long Short- Term Memory, Convolutional Neural Network, Latent Dirichlet Allocation, Rulebased, and customized algorithms, and d) sentiment classification on multiple benchmarking datasets. …”
Get full text
Get full text
Get full text
Thesis -
12
Big data analytics for Flood Information Management in Kelantan, Malaysia
Published 2023Conference Paper -
13
Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
Get full text
Get full text
Undergraduates Project Papers -
14
Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
Get full text
Get full text
Thesis -
15
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
Get full text
Get full text
Thesis -
16
Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Published 2014“…In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. …”
Get full text
Conference or Workshop Item -
17
Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong
Published 2016“…Even if maintainers possess additional information that could be useful to guide and improve the clustering results, traditional clustering algorithms have no way to take advantage of this information. …”
Get full text
Get full text
Thesis -
18
Wind farm reactive power optimization by using imperialist competitive algorithm
Published 2013“…In this paper a new evolutionary computing method based on imperialist competitive algorithm (ICA) is used for optimization of the reactive power in a wind farm. …”
Get full text
Get full text
Conference or Workshop Item -
19
SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE
Published 2023“…Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an approximate optimization method, since the EVPS algorithm requires experimental parameters. …”
Get full text
Get full text
Article -
20
HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
Published 2021“…The main goals of this proposed technique are to use deep learning approaches to identify multilevel textual sentiment with far less time and more accurate and simple network structure training for better performance. …”
Get full text
Get full text
Get full text
Article
