Search Results - (( java implementation bat algorithm ) OR ( parameter data compression algorithm ))

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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  2. 2
    A new compression algorithm for small data communication in wireless sensor network

    A new compression algorithm for small data communication in wireless sensor network by Tuama, Ammar Yaseen, Mohamed, Mohamad Afendee, Muhammed, Abdullah, Mohd Hanapi, Zurina

    Published 2017
    “…In this paper, we propose a new lossless compression algorithm that can handle small data communication in WSNs. …”
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  3. 3
    Predicting uniaxial compressive strength using Support Vector Machine algorithm

    Predicting uniaxial compressive strength using Support Vector Machine algorithm by Zakaria, Hafedz, Abdullah, Rini Asnida, Ismail, Amelia Ritahani, Amin, Mohd For

    Published 2019
    “…This paper presents the application of Support Vector Machine (SVM) algorithm to predict the UCS. An algorithm has been tested on a series of rock data using dry density and velocity parameters. …”
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  4. 4
    Speech compression using compressive sensing on a multicore system

    Speech compression using compressive sensing on a multicore system by Gunawan, Teddy Surya, Khalifa, Othman Omran, Shafie, Amir Akramin, Ambikairajah, Eliathamby

    Published 2011
    “…Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals, i.e. speech signal. …”
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    Proceeding Paper
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  5. 5
    Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms

    Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms by Abdellatief M., Wong L.S., Din N.M., Mo K.H., Ahmed A.N., El-Shafie A.

    Published 2025
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  6. 6
    Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil

    Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil by Yong, Shirley Xiao Wei

    Published 2010
    “…In current study, bore hole data was collected from JKR, Kuching to train and validate the neural network for the prediction of settlement rather than compression index (Cc). …”
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    Final Year Project Report / IMRAD
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  7. 7
    Small-Scale Deep Network for DCT-Based Images Classification

    Small-Scale Deep Network for DCT-Based Images Classification by Borhanuddin B., Jamil N., Chen S.D., Baharuddin M.Z., Tan K.S.Z., Ooi T.W.M.

    Published 2023
    Conference Paper
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  8. 8
    Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate

    Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate by Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Gubbi, Abdullah, Khan, Anjum, Mokashi, Imran

    Published 2025
    “…This study investigates the use of ML algorithms to predict the compressive strength of grade 30 concrete, incorporating shredded PET bottles and M-sand as fine aggregates. …”
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  9. 9
    Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din

    Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din by Wan Din, Wan Isni Sofiah

    Published 2016
    “…Currently, the selection of cluster head is based on residual energy and several parameters. The data routing to the based station is solely relying on cluster head. …”
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    Thesis
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  10. 10
    Implementing data hiding in still images / lman Hazwam Abd. Halim and Roshidi Din

    Implementing data hiding in still images / lman Hazwam Abd. Halim and Roshidi Din by Abd. Halim, lman Hazwam, Din, Roshidi

    Published 2004
    “…Data hiding refers to the nearly invisible embedding of information within various host data sets and one of them is by using still images. …”
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    Conference or Workshop Item
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  11. 11
    Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization

    Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization by Akmeliawati, Rini, Widhiputranto, H. K.

    Published 2008
    “…The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification.…”
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    Proceeding Paper
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  12. 12
    Analysis of the ECG signal using SVD-based parametric modelling technique

    Analysis of the ECG signal using SVD-based parametric modelling technique by Baali, Hamza, Salami, Momoh Jimoh Emiyoka, Akmeliawati, Rini, Aibinu, Abiodun Musa

    Published 2011
    “…A good compression ratio per beat has been obtained using the proposed algorithm which is quite satisfactory when compared to other techniques.…”
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    Proceeding Paper
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  13. 13
    Modelling and calibration of high-pressure direct injection compressed natural gas engine

    Modelling and calibration of high-pressure direct injection compressed natural gas engine by Mohd Fadzil, Abdul Rahim

    Published 2021
    “…The calibration framework consists of the development of the data-driven model by using ANN and ECU parameters optimisation by using GA. …”
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    Thesis
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  14. 14
    Elgamal digital signature scheme with integrated CFEA-technique

    Elgamal digital signature scheme with integrated CFEA-technique by Arif Mandangan, Che Haziqah Che Hussin, Chang, Ee Hung

    Published 2016
    “…In order to provide good level of security, proper parameters must be used in this scheme. This includes the size of the parameters. …”
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  15. 15
    Elgamal Digital Signature Scheme With Integrated CFEA-Technique

    Elgamal Digital Signature Scheme With Integrated CFEA-Technique by Arif Mandangan, Che Haziqah Che Hussin, Chang Ee Hung

    Published 2016
    “…In order to provide good level of security, proper parameters must be used in this scheme. This includes the size of the parameters. …”
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  16. 16
    Optimization of solenoid driver and controller for gaseous fuel high-pressure direct injector using model-based approach

    Optimization of solenoid driver and controller for gaseous fuel high-pressure direct injector using model-based approach by Mohamad Hafidzul Rahman, Alias

    Published 2022
    “…Thus, the purpose of this study is to identify the most influential parameters of the injector, construct an analytical and data-driven model of the injector, conduct the model-based optimization of the injector and verify the optimal injector setup via simulation and experiment. …”
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    Thesis
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  17. 17
    Modeling and simulation of forward Al extrusion process using FEM

    Modeling and simulation of forward Al extrusion process using FEM by Magid, Hani Mizhir, Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Baharudin, B. T. Hang Tuah

    Published 2014
    “…The extrusion process was modeled as isothermal, which means that the billet material was preheated at a specific temperature and then pressured into the circular die, with extrusion ratio 3.3. Optimized algorithms for extrusion parameters were proposed regarding the concluded simulating results. …”
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  18. 18
    Performance analysis of voice codec for VoIP

    Performance analysis of voice codec for VoIP by Abd. Khuther, Ali

    Published 2008
    “…Finally, G.729 the high level compression is the proper technique for many user and heavy data only when the quality is not taken into account.…”
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  19. 19
    Obfuscatable aggregatable signcryption scheme with PadSteg for unattended devices in IoT systems

    Obfuscatable aggregatable signcryption scheme with PadSteg for unattended devices in IoT systems by Uwadiegwu, Inyama Victor

    Published 2019
    “…Obfuscatable Aggregatable Signcryption (OASC) is the combination of cryptography technique such as digital signature with data encryption and obfuscation to protect data in the IoT system. …”
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    Thesis
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  20. 20
    A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques

    A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques by Hakim, S. J. S., Mhaya, A. M., Ibrahim, M. H. W., Mohammadhasani, M., Mokhatar, S. N., Paknahad, M., Kamarudin, A. F.

    Published 2024
    “…Nevertheless, the ANFIS architecture proposed, which incorporates a hybrid learning algorithm, outperformed the multilayer feedforward ANN that utilizes the backpropagation algorithm. …”
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