Search Results - (( java implication based algorithm ) OR ( using cross study algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation by Mohd Ali, Nursabillilah, Besar, Rosli, Ab Aziz, Nor Azlina

“…Grid search cross validation (CV) is applied for hyperparameter tuning of the algorithms. …”
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Phylogenetic tree classification system using machine learning algorithm by Tan, Jia Kae

“…A study is conducted to develop an automated phylogenetic tree image classification system by using machine learning algorithm. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Cross-project software defect prediction by Bala, Yahaya Zakariyau, Abdul Samat, Pathiah, Sharif, Khaironi Yatim, Manshor, Noridayu

“…Through this work, it was discovered the majority of the selected studies used machine learning techniques as classification algorithms, and 64% of the studies used the combination of Object-Oriented (OO) and Line of Code (LOC) metrics. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

“…Testing of the application are using 10-Fold Cross Validation technique. 90% of the data be used as a training and another 10% be used for the testing part. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows by Zhang, Shasha, Dong, Qiming, Yasin, Megat Al Imran, Fang, Ng Chwee

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A biometric fingerprint recognition system utilizing the Scale Invariant Feature Transform (SIFT) algorithm for border crossing by Hamzah N.A., Jaaz Z.A., Al-Bakri N.F., Tawfeq J.F., Radhi A.D.

“…The SIFT algorithm has some drawbacks and is currently widely used because of its overall efficiency, although the efficiency of a single collection is slow. …”

Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm by Yazdi, H.M., Ramli Sulong, N.H.

“…In this study, a new method for designing a particular braced system by using multi-objective genetic algorithm is proposed. …”
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Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin by Pisal, Nurul Shahira, Abdul Rahman, Shuzlina, Hanafiah, Mastura, Kamarudin, Saidatul Izyanie

“…This study presents machine learning algorithms for life expectancy based on the Asian population dataset. …”
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Fault localization on power cables using time delay estimation of partial discharge signals by Chin, Kui Fern, Chai, Chang Yii, Asfarina Abu Bakar, Ismail Saad, Kenneth Teo Tze Kin, Megat Muhammad Ikhsan Megat Hasnan, Nur Aqilah Mohamad

“…The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. …”
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A comparative study of the classification of skin burn depth in human by Kuan, Pei Nei, Li, Stephanie Chua Hui, Ehfa, binti Bujang Safawi, Wang, Hui Hui, Tiong, Wei King

“…The dataset was evaluated using both a supplied test set and 10-fold cross validation methods. …”
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A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid by Rashid, Mohammad Hanif

“…We have incorporated Generic Algorithm (GA) in one stage of the system. The importance of using the Genetic Algorithm is to find the best fingerprints after going through all processes of selection, cross-over and mutation. …”
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Regression study for thyroid disease prediction Comparison of crossing-over approaches and multivariate analysis by Ong, Song Quan, Pradeep Isawasan, Khairulliza Ahmad Salleh

“…Our result shows that models that use kfold cross-validation have greater performance, and a higher number of k does not improve the model performance. …”
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A Comparison Study On Pca_Modular Pca And Lda For Face Recognition by Cheah, Boon Wah

“…The performance of these face recognition algorithms will be evaluated by 10-fold cross validation using ORL database. …”
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A comparative analysis of machine learning algorithms for diabetes prediction by Alansari, Waseem Abdulmahdi, Masnizah Mohd

“…Nine features which are Age, Blood pressure, Skin thickness, Glucose, Diabetes pedigree function, Pregnancy, BMI, Insulin level, and Outcome been used for the prediction of diabetes. The methodology involves data collection, pre-processing, and training the algorithms using k-fold cross-validation. …”
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Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

“…Hence, the issue of cross-content type, i.e., screen-content images (SCIs) and natural-scene images (NSIs), image quality assessment is the main objective of this study. …”
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An improved method using fuzzy system based on hybrid boahs for phishing attack detection by Noor Syahirah, Nordin

“…The experiment was executed by using k-fold cross validation techniques for predicting the classification algorithm performance. …”
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Performance evaluation of caching placement algorithms in named data network for video on demand service by Abbas, Rasha Salem

“…There are two stages of activities resulted in the outcome of the study: The first is to determine the causes of delay performance in NDN cache algorithms used in VoD workload. …”
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm by Salim, Nur Saadah, Saad, Shahadan

“…This research introduces a new approach to enhancing cybersecurity by integrating Support Vector Machine (SVM) algorithms with penetration testing to develop a recommendation system focused on Cross-Site Scripting (XSS) attack detection. …”
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