Search alternatives:
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
crcy algorithm » carlo algorithm (Expand Search), rd algorithm (Expand Search), search algorithm (Expand Search)
component » components (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
crcy algorithm » carlo algorithm (Expand Search), rd algorithm (Expand Search), search algorithm (Expand Search)
component » components (Expand Search)
-
1
-
2
A pragmatic approach for testing robustness on real-time component based systems
Published 2005“…In this paper, we suggest a realistic methodology for testing robustness of real-time component-based systems (RTCBS). A RTCBS system is described as a collection of components where each component is specified by a nominal and a degraded specification, modeled as a timed input-output automaton (TIOA). …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
3
CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
article -
4
-
5
-
6
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
Get full text
masterThesis -
7
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Published 2024“…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …”
-
8
-
9
-
10
Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
Published 2025“…We propose an offline kernel-based classifier enhanced by Batch Principal Component Analysis (PCA) for dimensionality reduction to mitigate the “curse of dimensionality”. …”
-
11
-
12
Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
doctoralThesis -
13
Parallel scatter search algorithms for exam timetabling. (c2009)
Published 2009Get full text
Get full text
masterThesis -
14
A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms
Published 2007“…Numerous such algorithms have been devised, and many have found popularity in different domains. …”
Get full text
masterThesis -
15
A decoding algorithm for I-Q space-time coded systems in fadingenvironments
Published 2000“…Therefore, a simplified decoding algorithm is proposed. It is based on symbol-by-symbol detection of the Q/I components in the I/Q decoders. …”
Get full text
Get full text
article -
16
-
17
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…<p dir="ltr">Pressure gradient (PG) in liquid-liquid flow is one of the key components to design an energy-efficient transportation system for wellbores. …”
-
18
Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
Published 2017“…For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. …”
Get full text
Get full text
Get full text
conferenceObject -
19
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. …”
-
20
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …”