Search Results - (( word detection using algorithm ) OR ( java application using algorithm ))

An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition by Moayad, Yousif Potrus, Ngah, Umi Kalthum, Bestoun S. , Ahmed

“…At first, the pre-segmentation algorithm uses a modified dominant point detection algorithm to mark a minimal number of points which defines the text skeleton. …”
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Development of real-time pose estimation algorithm for Quranic Arabic word by Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah

“…The study carried out in this report proposes the best keypoint detection, description, and pose estimation algorithm combination for Quranic Arabic words. …”
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The study of stemming algorithm for Malay words that start with the letter 'B' from translated Quran documents / Azriana Ahmad by Ahmad, Azriana

“…Then, using these words in the experiment on the stemming algorithm is tested employing all the possible combination of affixes rules. …”
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Development of pose estimation algorithm for Quranic Arabic word by Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah

“…The study carried out in this report proposes the best keypoint detection, description, and pose estimation algorithm combination for Quranic Arabic words. …”
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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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Error Detection of Personalized English Isolated-Word Using Support Vector Machine by Yap, David F. W.

“…Subsequently, a well-known classification type of artificial intelligent algorithm namely Support Vector Machine (SVM) is used to evaluate those features under two class types of words with proper segregation of correct and erroneous words in two data sets. …”
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RSA Encryption & Decryption using JAVA by Ramli, Marliyana

“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

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Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin by Nasaruddin, Syazwani

“…All the features of emphasized words detect by user is extracted. After detection of emphasized and non-emphasized words for speakerl and speaker2, intensity and pitch features need to be evaluated. …”
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Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

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Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Eyiomika, Najeeb, Athaur Rahman, Azeez, J. F., Rajin, S. M. Ataul Karim

“…Artificial Neural Network algorithms are then used to classify these features. …”
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THE INVESTIGATION ON ARABIC WORD POSE ESTIMATION ALGORITHM AS MARKER FOR AUGMENTED REALITY APPLICATION by Mohd Zailani, Syarah Munirah, Morshidi, Malik Arman

“…The study also demonstrates that one sub-words shows a better accuracy rate than with two sub-words cause by unnecessary interest points detected.…”
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Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech by Seman N., Bakar Z.A., Bakar N.A., Mohamed H.F., Abdullah N.A.S., Ramakrisnan P., Ahmad S.M.S.

“…This paper presents the endpoint detection approaches specifically for an isolated word uses Malay spoken speeches from Malaysian Parliamentary session. …”

A hyperbolic sarcasm detection model using negative sentiment tweets and machine learning algorithms / Vithyatheri Govindan by Vithyatheri , Govindan

“…Many past studies employed various techniques and approaches to detect sarcasm. Even though hyperbole is one of the common approaches used individually or combined with other approaches such as lexical or pragmatic, not all types of hyperboles were used. …”
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Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

“…The first algorithm locates interest points in food images using an MSER. …”
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Applying learning to filter text by Sainin, Mohd Shamrie

“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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Prevention of Textual Plagiarism Application by Mohd Nor, Nor Atikah

“…Thus, the main focus of this project is to perform a study on how to detect textual plagiarism. Word -for- word plagiarism is the most noticeable and serious form of plagiarism. …”
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Speech Signal Endpoint Detection Using Hidden Markov Models by Ahmed, M. Masroor, Ahmed, Abdul Manan, Othman, Muhamad Razib, Khan, Sheraz

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Malicious URL Detection with Distributed Representation and Deep Learning by Do N.Q., Selamat A., Lim K.C., Krejcar O.

Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
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