Search Results - (( copy detection system algorithm ) OR ( panel classification using algorithm ))

Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

“…The methods are able to facilitate a frame copy algorithm and a high correlation of colour and depth frames to conceal depth frame loss. …”
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Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan by Adnan, Nurul Anis Suriana

“…This proposes a passive forgery detection to detect the most common type of forgery, which is copy-move attack. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm by Chandrasegaran, Ormiila, Mustapha, Faizal, Abdullah, Mohd Na’im, Anwar, Murniwati, Mustapha, Mazli, Adzis, Zuraimy

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Face Detection System / Chan Beh Teng by Chan, Beh Teng

“…The system will generate an output where every detected face will be indicated with a rectangle on a copy of the original image. …”
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Adaptive digital watermarking system for authentication of intellectual properties by Olanweraju, Rashidah Funke, Abd Manaf, Azizah, Zeki, Akram M.

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Online Tool to Detect Plagiarized Students' Solutions for Classes' Assignments by Khdair, Hisham S.M

“…Most of the existing plagiarism detection systems compare documents to archived sources in enterprise databases. …”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

“…The system is also able to detect copy- verbatim strategy, the most commonly strategy used by students. …”
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A tool for addressing construct identity in literature reviews and meta-analyses by Larsen, Kai Rune T., Bong, Chih How

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TPAAD: Two-phase authentication system for denial of service attack detection and mitigation using machine learning in software-defined network by Najmun, Nisa, Adnan Shahid, Khan, Zeeshan, Ahmed, Najmun, Nisa

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Smart room system with dual authentication by Harun, Muhammad Hazmi, Abdul Rahid@Abdul Rashid, Nurul Najwa

“…The face recognition system relies on OpenCV for accurate face detection, capturing face only during system operation, whether a successful or unsuccessful attempt occurs. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques by Che Soh, Azura, Mohamad Radzi, Nur Fadzilah, Mohamad Yusof, Umi Kalsom, Ishak, Asnor Juraiza, Hassan, Mohd Khair

“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm by Nur Alya Afikah, Usop

“…The effectiveness of the algorithm has been established since it uses an image-based approach after conversion between document and images with a numbering pattern that is fragile to deletion, replacement, insertion, combine, and copy attack. …”
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A novel approach towards tamper detection of digital holy Quran generation by Islam, Md. Milon, Kabir, M. Nomani, Sadi, Muhammad Sheikh, Morsalin, Md. Istiak, Haque, Ahsanul, Wang, Jing

“…Hence, verifying the Quran expression has become a crucial issue for most of the online users who read the digital copy. We propose a novel approach for the tamper detection of a digital document of the Holy Quran. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation by Mahdavipour, Zeinab

“…Meanwhile, a set of descriptors corresponding to Elliptic Fourier Features shape description is extracted for each defect and is evaluated for each cluster to use for clustering and classification part. The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach by Muhammad Ar Rahim, Ibrahim, Muhammad Amirul, Abdullah, Muhammad Nur Aiman, Shapiee, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Muhammad Aizzat, Zakaria, Noor Azuan, Abu Osman, Anwar P. P., Abdul Majeed

“…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion by Duraikannan, Shankar

“…The proposed adaptive digital pre-distortion is based on memory polynomial (MP) model with indirect learning architecture (ILA) where the predistorter is modeled as an inverse polynomial model of the nonlinear RoF system. The predistorter is the copy of the training filter that is connected as the post distorter to the nonlinear RoF system. …”
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Query proof structure caching for incremental evaluation of tabled prolog programs / Taher Muhammad Ali by Taher Muhammad, Ali

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