Search Results - (( parameter evaluation a algorithm ) OR ( variable extractions methods algorithm ))
Search alternatives:
- parameter evaluation »
- extractions methods »
- methods algorithm »
- evaluation a »
- a algorithm »
- variable »
-
1
-
2
High Order Polynomial Surface Fitting for Measuring Roughness of Psoriasis Lesion
Published 2011“…The method applies a polynomial surface fitting to the lesion surface to extract the estimated waviness from the actual lesion surface. …”
Get full text
Get full text
Get full text
Article -
3
Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset
Published 2017“…The proposed algorithm can be divided into three stages. The first stage is parameter setup and pre-processing. …”
Get full text
Get full text
Monograph -
4
-
5
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
Get full text
Get full text
Thesis -
6
Perturbation stochastic model updating of a bolted structure / Mohamad Azam Shah Aziz Shah
Published 2022“…The scheme was developed by introducing a multidimensional analysis consisting of a systematic quasi-random sampling algorithm. …”
Get full text
Get full text
Thesis -
7
New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…Only one dynamic variable is used as a tuning parameter reducing the complexity of the algorithm. …”
Get full text
Get full text
Get full text
Thesis -
8
Clinical relevance of VKORC1 (G-1639A and C1173T) and CYP2C9*3 among patients on warfarin
Published 2011“…Among the parameters evaluated, only VKORC1 (G-1639A) and (C1173T) alleles, and age correlated with warfarin dose at 6 month. …”
Get full text
Get full text
Article -
9
Spectral and prosodic feature extractions for classical Arabic accents recognition among Malay speakers / Noor Jamaliah Ibrahim
Published 2021“…This research focused on identifying the accent used by Malay speakers in reciting of Surah Al-Fatihah against the seven types of Quranic accents (Qira'at), using the proposed feature extraction and classification technique. The experiment started with a thorough evaluation on phonetic properties of a set of letters and phonemes, which pronunciation are almost similar in different accents. …”
Get full text
Get full text
Get full text
Thesis -
10
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…An attacker can easily reconstruct source code from such intermediate formats to extract sensitive information such as proprietary algorithms present in the software. …”
Get full text
Get full text
Thesis -
11
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The feature extraction methods evaluated were Grayscale Pixel Values, Mean Pixel Value of Channels, and Extracting Edge Features. …”
Get full text
Get full text
Get full text
Get full text
Article -
12
Coronary artery stenosis detection and visualization / Tang Sze Ling
Published 2015“…The proposed method benchmarked with the state-of-the-art methods and achieved comparable results. …”
Get full text
Get full text
Thesis -
13
Optimizing timber transportation planning for timber harvesting using bees algorithm in Malaysia
Published 2023“…A Bees Algorithm (BA) was proposed to find an optimum TTP for timber extraction, forest road, and landing locations with grid cell-sized 10 m × 10 m and attributed with fixed and variable costs. …”
Get full text
Get full text
Article -
14
Multi road marking detection system for autonomous car using hybrid- based method
Published 2018“…Wu dataset that consist of 1208 road images, which were extracted from videos recorded around California, the proposed algorithm performed satisfactorily. …”
Get full text
Get full text
Get full text
Thesis -
15
An alternative approach to normal parameter reduction algorithms for decision making using a soft set theory / Sani Danjuma
Published 2017“…Many normal parameter reduction algorithms exist to handle parameter reduction and maintain consistency of decision choices. …”
Get full text
Get full text
Get full text
Thesis -
16
Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
Published 2015“…The three algorithms are evaluated for performance using three parameters; power efficiency, cost effectiveness, and amount of CO2 emissions. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
17
A novel theoretical and practical methodology for extracting the parameters of the single and double diode Photovoltaic models
Published 2022“…However, there is no method to date that can guarantee the extracted parameter of the PV model is the most accurate one. …”
Get full text
Get full text
Article -
18
The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers
Published 2024“…Conclusions: The Combat algorithm has reduced variability in radiomic features from different scanners. …”
Get full text
Get full text
Get full text
Article -
19
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
Get full text
Get full text
Final Year Project -
20
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
Get full text
Get full text
Get full text
Thesis
