Search Results - (( developing challenge extraction algorithm ) OR ( java implication based algorithm ))

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

“…Therefore, it is essential to develop a new technique to authenticate access to database related to web applications and prevent SQL injection vulnerabilities. …”
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Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA) by Hasni, Hassan, Aznida Hayati, Zakaria@Mohamad, Mohd Isa, Awang, Mokhairi, Makhtar, Rohana, Ismail, Fadhilah, Ahmad

“…Although meaningful and important, ontology development presents great challenges to the developers especially in terms of conceptual dynamics.. …”
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Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement by Ab Jabal, Mohamad Faizal, Rozlan, Muhammad Irfan, Suhaimi, Azrina, Hasmy, Harshida

“…Accurate classification of pineapple cultivars is hindered by limitations in image acquisition, feature extraction, and classification algorithms. This study identifies these technical challenges and proposes methodological improvements to support reliable autonomous recognition systems. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

“…A critical step in developing such intelligent systems is the feature extraction process. …”
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Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang by Gao , Hanyang

“…The dissertation follows three objectives; to segment urban landmarks in an image, to develop an algorithm to quantify visual salience indicators for urban landmarks extraction, and to compare the performance of proposed algorithm in extracting urban landmarks between robot and human. …”
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An efficient AdaBoost algorithm for enhancing skin cancer detection and classification by Gamil, Seham, Zeng, Feng, Alrifaey, Moath, Asim, Muhammad, Ahmad, Naveed

“…This study addresses these challenges by employing Principal Component Analysis (PCA), a dimensionality-reduction approach, to extract relevant features from skin images. …”
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An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks by Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya

“…Many algorithms have been developed for automated electrocardiogram (ECG) classification. …”
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An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults by Irfan, M., Saad, N., Alwadie, A., Awais, M., Aman Sheikh, M., Glowacz, A., Kumar, V.

“…Thus, reliable diagnosis of gear faults is a challenge in real-time fault diagnosis systems. This issue has been addressed in this paper through the development of the automated spectral extraction algorithm. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

“…This reserarch adapted a methodology of computer vision and algorithms that exploit image segmentation, feature extraction and fuzzy classification to guide the research activities. …”
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An Automated Image Segmentation and Useful Feature Extraction Algorithm for Retinal Blood Vessels in Fundus Images by Abdulsahib A.A., Mahmoud M.A., Aris H., Gunasekaran S.S., Mohammed M.A.

“…Several comprehensive experiments were carried out to assess the performance of the developed fully automated segmentation algorithm in detecting the retinal blood vessels using two extremely challenging fundus images datasets, named the DRIVE and HRF. …”

Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network by Ali, M.S., Bakar, Ab Halim Abu, Tan, Chia Kwang, Mokhlis, Hazlie, Arof, Hamzah

“…This paper will present an enhanced high impedance fault location algorithm based on the database technique. This paper is an extension of a faulty section identification algorithm developed previously. …”
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Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

“…Cross-validation techniques are employed to validate the model's performance and ensure robustness. The development and evaluation of the prediction system adhere to a comprehensive research methodology encompassing data understanding, description, preprocessing, feature extraction, and model evaluation. …”
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Computer vision automation system for sorting partially overlapping tiles by Hussin, Neam Tariq

“…A texture feature extraction algorithm based on (standard deviation of intensities and entropy) were developed and compared in the third component to identify overturned tiles from white tiles. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…Readability was detected using a free online optical character recognition application called Aeosoft. Size was extracted using Extreme Point Detection algorithm and Hit or Miss Transformation method was used to extract the stroke formation pattern. …”
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Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes by Dooraki A.R., Hooshyar D., Yousefi M.

Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

“…The main objective is to developing a classification system for agriculture plant by image pre-processing, feature extraction, network training and classification. …”
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A review of object detection in traffic scenes based on deep learning by Zhao, Ruixin, Tang, SaiHong, Supeni, Eris Elianddy, Abdul Rahim, Sharafiz, Fan, Luxin

“…It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. …”
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BASE: a bacteria foraging algorithm for cell formation with sequence data by Nouri, Hossein, Tang, Sai Hong, Baharudin, B. T. Hang Tuah, Mohd Ariffin, Mohd Khairol Anuar

“…The bacteria foraging algorithm (BFA) is a newly developed computation technique extracted from the social foraging behavior of Escherichia coli (E. coli) bacteria. …”
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Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, a... by Reza M.S., Mannan M., Mansor M., Ker P.J., Mahlia T.M.I., Hannan M.A.

“…Additionally, the issues and challenges related to RUL prediction approaches such as; thermal runaway, material selection, cell balancing, battery aging, relaxation impact, training algorithms, data acquisition, and hyperparameter tuning were outlined to provide an in-depth understanding of the recent situations. …”

Development Of Hierarchical Skin-Adaboost-Neural Network (H-Skann) For Multiface Detection In Video Surveillance System by Zakaria, Zulhadi

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