Search Results - (( user evaluation ((bat algorithm) OR (_ algorithm)) ) OR ( based information system algorithm ))

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  1. 1

    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…This research will conduct comparison of hybrid Genetic Algorithm and Bat Algorithm (GA-BA) with Genetic Algorithm (GA) and Bat Algorithm (BA). …”
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    Academic Exercise
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    Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor by Mat Ishor, Nur Ayuni Izlin

    Published 2019
    “…Thus, the study is to explore how the recommendation engines will work and use user-based collaborative filtering as an algorithm for the movie recommendation. …”
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    Thesis
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    Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

    Published 2014
    “…In this study, a new algorithm is proposed to represent an enhanced version of content-based recommender systems by utilizing social networking features. …”
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    Thesis
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    An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias by Alias, Nur Farehah

    Published 2017
    “…This algorithm developed to allow user to receive push notification effectively based on the location of user’s smartphone that can be detected by Bluetooth Smart Ready Technology (BLE). …”
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    Thesis
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    Chaotic-based encryption algorithm using henon and logistic maps for fingerprint template protection by Siswanto, Apri, Katuk, Norliza, Ku-Mahamud, Ku Ruhana

    Published 2020
    “…In a fingerprint authentication system, user fingerprint information is stored in databases in an image format known as a fingerprint template. …”
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    Article
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    Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

    Published 2011
    “…The first is iPACT, an improved recommendation system based on PACT methodology to demonstrate the prediction accuracy of the proposed enhanced classification algorithm in this research. …”
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    Thesis
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    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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    Academic Exercise
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    Multi-user beamforming, fairness and device-to-device channel state information sharing in downlink non-orthogonal multiple access systems by Abdulhussein, Mohanad Mohammed

    Published 2021
    “…To solve this problem, a new cooperative NOMA system is introduced, in which we first, propose a receiver equalizer at weak user known as weak user beam-matching (WBM) equalizer based on deviceto- device (D2D) channel state information (CSI) sharing between the nearby strong and weak users. …”
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    Thesis
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    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. …”
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    Thesis
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    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…The Machine Learning algorithm, comprising Random Forest, Linear Regression, XGBoost, SVM, and Stacking Ensemble, is embedded in the system for job position predictions based on the analysed data. …”
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    Thesis
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    Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood by Mahmood, Aminah

    Published 2004
    “…A good retrieval system should provide tools to perform searching accurately based on user requirements. …”
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    Thesis
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    Collaborative recommender system for online jewelry store by Hon, Morris Mao Ning

    Published 2015
    “…In this project, a prototype of online jewelry selling store with the implementation of a collaborative filtering based recommender system was developed. The algorithm under collaborative filtering approach that been used in this project is called slope one algorithm which basically works by predicting user’s preference based on other user’s rating history on specific items in the system. …”
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    Final Year Project Report / IMRAD
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    A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy... by Ming L.L.

    Published 2023
    “…REA modeling technique is very important in generating a well-structured database which will be able to affect the performance of any accounting information system. The author has implemented quantitative analysis by generating mathematical algorithms to compare efficiency between conventional and Agent Centric REA Modeling. …”
    Conference paper
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    Secure mobile AES encryptor (SMAE) by Satia, Anbalagan

    Published 2016
    “…This can be proved where the National Security Agency (NSA) in the United States to encrypt confidential data and information. This application will focus more on the user of the Android operating systems based mobile phone users. …”
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    Undergraduates Project Papers
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    An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms by Zahid, Aafaq

    Published 2015
    “…There are different techniques used in RS. Some works are based on user past knowledge known as Content Based (CB) while more popular techniques referred to as neighborhood models (CF and MF) are based on finding similar users for recommendation. …”
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    Thesis
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    Deep reinforcement learning approaches for multi-objective problem in Recommender Systems by Ee, Yeo Keat

    Published 2022
    “…The current major existing multi-objective recommendation approaches utilize collaborative filtering method as rating predictor to replenish the missing ratings and combined with evolutionary algorithm for only bi-objective optimization. However, collaborative filtering suffers from cold-start problem and incapable to predict rating on highly sparse user-item matrix besides difficulty to incorporate side features information such as user latent, which led to weak performance when encountering new items or users. …”
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    Thesis
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