Search Results - (( web applications among algorithm ) OR ( some applications learning algorithm ))*

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  1. 1
    A new algorithm to measure relevance among Web pages

    A new algorithm to measure relevance among Web pages by Sadi, M.S., Rahman, M.M. Hafizur, Horiguchi, Susumu

    Published 2006
    “…This paper proposes a new algorithm to measure relevance among Web pages (RWP) using a hybrid method of hyperlink analysis and content analysis. …”
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  2. 2
    A new ant based rule extraction algorithm for web classification

    A new ant based rule extraction algorithm for web classification by Ku-Mahamud, Ku Ruhana, Saian, Rizauddin

    Published 2011
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  3. 3
    Web cluster load balancing via genetic-fuzzy based algorithm

    Web cluster load balancing via genetic-fuzzy based algorithm by Chin, Wen Cheong, Lim, Amy Hui Lan

    Published 2007
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  4. 4
    Early detection of dengue disease using extreme learning machine

    Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

    Published 2018
    “…The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. …”
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  5. 5
    Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes

    Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes by Lu, Chin Mei

    Published 2013
    “…This research is to propose a new efficient DNS-based load balancing algorithms that can solve a sudden increase of demand for service requests when they are applied to a local Domain Name Service (DNS) server for Web based applications and selected services. …”
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  6. 6
    Multi-Backpropagation network

    Multi-Backpropagation network by Wan Ishak, Wan Hussain, Siraj, Fadzilah, Othman, Abu Talib

    Published 2002
    “…The learning mechanism for Neural Network is its learning algorithm. …”
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  7. 7
    A modified generalized RBF model with EM-based learning algorithm for medical applications

    A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

    Published 2006
    “…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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  8. 8
    Three-term backpropagation algorithm for classification problem

    Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

    Published 2006
    “…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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  9. 9
    Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan

    Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan by Hasan, Haitham Sabah

    Published 2014
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  10. 10
    Towards cross-site scripting vulnerability detection in mobile web applications

    Towards cross-site scripting vulnerability detection in mobile web applications by Hydara, Isatou, Md Sultan, Abu Bakar, Zulzalil, Hazura, Admodisastro, Novia Indriaty

    Published 2018
    “…Cross-site scripting vulnerabilities are among the top ten security vulnerabilities affecting web applications for the past decade and mobile version web applications more recently. …”
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  11. 11
    Applying learning to filter text

    Applying learning to filter text by Sainin, Mohd Shamrie

    Published 2005
    “…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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  12. 12
    Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik

    Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik by Abdullah, Abdul Hanan

    Published 2003
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  13. 13
    An automated strabismus classification using machine learning algorithm for binocular vision management system

    An automated strabismus classification using machine learning algorithm for binocular vision management system by Rohismadi, Muhammad Amirul Isyraf, Mat Raffei, Anis Farihan, Zulkifli, Nor Saradatul Akmar, Ithnin, Mohd. Hafidz, Othman, Shah Farez

    Published 2023
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  14. 14
    Particle swarm optimization for neural network learning enhancement

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
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  15. 15
    Use of web page credibility information in increasing the accuracy of web-based question answering systems / Asad Ali Shah

    Use of web page credibility information in increasing the accuracy of web-based question answering systems / Asad Ali Shah by Asad, Ali Shah

    Published 2017
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  16. 16
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
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  17. 17
    Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48

    Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48 by Al-Qudah, Dua'a Mahmoud Mohammad, Olanrewaju, Rashidah Funke, Azman, Amelia Wong

    Published 2017
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  18. 18
    Stock indicator scanner customization tool using deep reinforcement learning

    Stock indicator scanner customization tool using deep reinforcement learning by Cheong, Desmond YongHong

    Published 2022
    “…This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
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  19. 19
    Differential evolution for neural networks learning enhancement

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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  20. 20
    Motion learning using spatio-temporal neural network

    Motion learning using spatio-temporal neural network by Yusoff, Nooraini, Ahmad, Farzana Kabir, Jemili, Mohamad Farif

    Published 2020
    “…In such learning, it requires a target signal, in which this is not always available in some applications. …”
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