Search Results - (( _ extraction method algorithm ) OR ( based formulation based algorithm ))*
Search alternatives:
- extraction method »
- based formulation »
- formulation based »
- method algorithm »
-
1
Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…Therefore, an improved feature extraction and selection for sky image classification (FESSIC) algorithm is proposed. …”
Get full text
Get full text
Get full text
Thesis -
2
Novel parameter extraction for single, double, and three diodes photovoltaic models based on robust adaptive arithmetic optimization algorithm and adaptive damping method of Berndt-Hall-Hall-Hausman
Published 2022“…However, most of the algorithms concentrate on the methodology in the literature, and little attention has been paid to the objective function formulation, leading to a theoretical void in this area of research. …”
Get full text
Get full text
Article -
3
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
Get full text
Get full text
Get full text
Thesis -
4
-
5
Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…We first analyzed experts' written summaries, extracted the strategies used in the summaries, formulated a set of heuristics rules to define the strategies and finally transformed the rules using position-based method into summary sentence decomposition algorithm (SSDA). …”
Get full text
Get full text
Get full text
Article -
6
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
Get full text
Get full text
Get full text
Thesis -
7
Inverse parameter identification of elastic and inelastic constitutive material models
Published 2011“…Traditionally, this is based on running some experimental tests and manipulating their results in order to extract the values of these parameters [2]. …”
Get full text
Get full text
Get full text
Book Chapter -
8
Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination
Published 2022“…Hybrid methods that take advantage of two or more algorithms have been proposed by many to further enhance their accuracy, stability, and overall performance. …”
Get full text
Get full text
Article -
9
New Instances Classification Framework On Quran Ontology Applied To Question Answering System
Published 2019“…As a result, the instances classification framework consists of several essential components: pre-processing, morphology analysis, semantic analysis, feature extraction, instances classification with Radial Basis Function Networks algorithm, and the transformation module. …”
Get full text
Get full text
Get full text
Article -
10
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Published 2023“…For each journal paper, the detailed information of the work area, targeted issue, formulation technique, optimization approach, adopted algorithms, evaluation techniques, performance matrices, dataset, utilized tools, and framework are extracted and analyzed using manual and automatic coding. …”
Get full text
Get full text
Article -
11
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
12
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
13
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2022“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
14
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2022“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
15
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
16
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2022“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
17
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
18
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
Get full text
Get full text
Get full text
Article -
19
Specific heat capacity extraction of soybean oil/mxene nanofluids using optimized long short-term memory
Published 2024“…This study employs a long short-term memory (LSTM) as an efficient machine learning method to extract the surrogate model for calculating the cpNF based on the temperature and nanoflakes concentration. …”
Get full text
Get full text
Get full text
Article -
20
Boundary extraction of abnormality region in breast mammography image using active contours
Published 2022“…The procedure is necessary for further clinical diagnosis and monitoring in Computer Aided Detection (CAD) analysis systems. Active contour method has been proven to be effective to extract boundary of an image. …”
Get full text
Get full text
Article
