-
1
Black-box testing of practical movie recommendation systems: a comparative study
Published 2014Get full text
Article -
2
-
3
Comparative studies on breast cancer classifications with K-Fold Cross Validations using machine learning techniques
Published 2015Conference or Workshop Item -
4
A comparative study of major clustering techniques for MAR learning usability prioritization processes
Published 2020“…This paper presents and discusses a comparative study of three major clustering categories namely Hierarchical-based, Iterative mode-based and Partition-based in analyzing and prioritizing Mobile Augmented reality (MAR) Learning (MAR-learning) usability data. …”
Conference or Workshop Item -
5
-
6
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
Published 2010“…In this way, the model will be able to adequately account for all forms of uncertainties associated with predicting permeability from well log data, where uncertainties are very high and the need for stable results are highly desirable. Comparative studies have been carried out to compare the performance of the proposed type-2fuzzy logic system framework with those earlier used methods, using five different industrial reservoir data. …”
Article -
7
Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems
Published 2011“…In this way, the model will be able to adequately model PVT properties. Comparative studies have been carried out and empirical results show that Type-2 FLS approach outperforms others in general and particularly in the area of stability, consistency and the ability to adequately handle uncertainties. …”
Article -
8
Modeling PVT properties of crude oil systems using type-2 fuzzy logic systems
Published 2010“…In this paper, an interval type-2 fuzzy logic based model is proposed and implemented to improve PVT properties predictions. Comparative studies have been carried out and empirical results show that the newly proposed approach outperforms others in general and particularly in the area of stability, consistency and the ability to adequately handle uncertainties. …”
Book Section -
9
An hybrid model through the fusion of sensitivity based linear learning method and type-2 fuzzy logic systems for modeling PVT properties of crude oil systems
Published 2011“…In the proposed hybrid, the type-2 FLS is used to handle uncertainties in reservoir data so that the final output from the type-2 FLS is then passed to the SBLLM for training and then final prediction using testing dataset follows. Comparative studies have been carried out to compare the performance of the proposed T2-SBLLM hybrid system with each of the constituent type-2 FLS and SBLLM. …”
Conference or Workshop Item -
10
A hybrid model through the fusion of type-2 fuzzy logic systems and sensitivity-based linear learning method for modeling PVT properties of crude oil systems
Published 2012“…In the proposed hybrid, the type-2 FLS is used to handle uncertainties in reservoir data so that the final output from the type-2 FLS is then passed to the SBLLM for training and then final prediction using testing dataset follows. Comparative studies have been carried out to compare the performance of the proposed T2-SBLLM hybrid system with each of the constituent type-2 FLS and SBLLM. …”
Article -
11
A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction
Published 2012“…The type-2 FLS is used to first handle uncertainties in reservoir data so that its final output is then passed to the ELM for training and then final prediction is done using the unseen testing dataset. Comparative studies have been carried out to compare the performance of the proposed T2-ELM hybrid system with each of the constituent type-2 FLS and ELM, and also artificial neural network (ANN) and support Vector machines (SVM) using five different industrial reservoir data. …”
Article -
12
InterviewME: A comparative pilot study on M-learning and MAR-learning prototypes in Malaysian english language teaching
Published 2017“…The aim of this study is to conduct a comparative study verifying if MAR-learning is significantly more motivating and satisfying than M-learning in ELT. …”
Conference or Workshop Item -
13
Malicious URL detection with distributed representation and deep learning
Published 2022“…To solve this problem, this paper performs a comparative study on phishing URL detection based on text embedding and deep learning algorithms. …”
Conference or Workshop Item -
14
Malicious URL detection with distributed representation and deep learning
Published 2022“…To solve this problem, this paper performs a comparative study on phishing URL detection based on text embedding and deep learning algorithms. …”
Book Section -
15
Breast cancer detection using modern visual IT techniques
Published 2018“…As novelty, we will give a comparative study of breast cancer detection using modern visual IT techniques view by the perspective of computer scientist.…”
Conference or Workshop Item -
16
Breast cancer detection using infrared thermal imaging and a deep learning model
Published 2018“…The novel contribution of this paper is the production of a comparative study of several breast cancer detection techniques using powerful computer vision techniques and deep learning models.…”
Get full text
Article