Search Results - (( mobile evaluation means algorithm ) OR ( related information learning algorithm ))

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  1. 1

    Bacterial image analysis using multi-task deep learning approaches for clinical microscopy by Chin, Shuang Yee, Jian, Dong, Khairunnisa, Hasikin, Romano, Ngui, Lai, Khin Wee, Pauline Yeoh, Shan Qing, Xiang, Wu

    Published 2024
    “…By automating analysis tasks and leveraging more advanced computational techniques, such as deep learning (DL) algorithms, bacterial image analysis can contribute to rapid, more accurate, efficient, reliable, and standardised analysis, leading to enhanced understanding, diagnosis, and control of bacterial-related phenomena. …”
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    Article
  2. 2

    A Mobile Application For Stock Price Prediction by Choy, Yi Tou

    Published 2021
    “…The evaluation methods were Root Mean Square Error and Mean Absolute Error. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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    Thesis
  4. 4

    A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation by Altag Ali, Gassan, Jeoti , Varun, Manzoor, Shahid

    Published 2010
    “…The Doppler spread, or evenly, the mobile speed of motion, is an evaluation of the spectral spreading of mobile fading channel. …”
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    Conference or Workshop Item
  5. 5

    Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network by Abdulrazzak H.N., Hock G.C., Mohamed Radzi N.A., Tan N.M.L., Kwong C.F.

    Published 2023
    “…The evaluation process was implemented on RK-Means, K-Means++, and OK-Means models. …”
    Article
  6. 6

    Enhanced Ad Hoc On-Demand Distance Vector Routing Protocol For Mobile Ad Hoc Network Internet Connectivity by Gurusamy, Gobi

    Published 2006
    “…This evaluation is done by means of simulation using NS-2 developed by University California Berkeley. …”
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    Thesis
  7. 7

    MOBILE DICTIONARY by Ibrahim, Siti Nabilah

    Published 2005
    “…The output of this system will be evaluated by users who already have experienced in using existing electronic dictionaries based on MobileDic accuracy as well as its usefulness. …”
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    Final Year Project
  8. 8

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…Recently, considerable advancement has been achieved in semi-supervised multi-task feature selection algorithms, where they have exploited the shared information from multiple related tasks. …”
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    Thesis
  9. 9

    Bot detection using machine learning algorithms on social media platforms by Gannarapu, Sainath, Dawoud, Ahmed, Ali, Rasha S., Alwan, Ali Amer

    Published 2021
    “…Also, It will improve the level of privacy and authenticity of these platforms and related users. The research uses the bot detection technique based on machine learning algorithms. …”
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    Proceeding Paper
  10. 10

    Analysis of Chinese patents associated with incremental clustering algorithms: A review / Archana Chaudhari by Chaudhari, Archana, Mulay, Preeti, Kumar Tiwari, Amit

    Published 2022
    “…To achieve learning from such dynamic data sources, incremental clustering algorithms are used mandatorily. …”
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    Article
  11. 11

    Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

    Published 2011
    “…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
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    Thesis
  12. 12

    Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions by Gorment N.Z., Selamat A., Cheng L.K., Krejcar O.

    Published 2024
    “…This paper seeks to conduct a thorough systematic literature review (SLR) and offer a taxonomy of machine learning methods for malware detection that considers these problems by analyzing 77 chosen research works related to malware detection using machine learning algorithm. …”
    Article
  13. 13

    Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

    Published 2019
    “…Recently, considerable advancement has been achieved in semisupervised multitask feature selection methods, which they exploit the shared information from multiple related tasks. Besides, these algorithms have adopted manifold learning to leverage both the unlabeled and labeled data since its laborious to obtain adequate labeled training data. …”
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    Article
  14. 14
  15. 15

    Design and evaluation on adaptive fuzzy speed control of mobile robot by Abdollahi, Mohammadreza

    Published 2011
    “…Both data acquisition and control algorithm are developed by using LabVIEW. A four-wheel mobile robot, PUTRABOT2, is used to conduct the experiments. …”
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    Thesis
  16. 16

    Information Theoretic-based Feature Selection for Machine Learning by Muhammad Aliyu, Sulaiman

    Published 2018
    “…Three major factors that determine the performance of a machine learning are the choice of a representative set of features, choosing a suitable machine learning algorithm and the right selection of the training parameters for a specified machine learning algorithm. …”
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    Thesis
  17. 17

    A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone by Ismail, Mohd Norasri

    Published 2019
    “…Thus, QoE can be improved. To evaluate EnVADE algorithm in term of energy efficiency, an experimental evaluation has been done. …”
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    Thesis
  18. 18

    A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone by Abd Rahim, Mohd Hilmi Izwan

    Published 2019
    “…Thus, QoE can be improved. To evaluate EnVADE algorithm in term of energy efficiency, an experimental evaluation has been done. …”
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    Thesis
  19. 19

    Attribute related methods for improvement of ID3 Algorithm in classification of data: A review by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2020
    “…Decision tree is an important method in data mining to solve the classification problems. There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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    Article
  20. 20

    Automated call receiving and forwarding mechanism for supporting integrated disaster management system by Khamis, N.A., Chin Yang, L., Nordin, A.

    Published 2014
    “…The efficiency of the algorithm is evaluated by comparing the response time of the current procedures with the implementation of the algorithm in the proposed prototype. …”
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    Conference or Workshop Item