Search Results - (( developing small (patterns OR pattern) algorithm ) OR ( java implication based algorithm ))

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  1. 1
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
    “…There are 6 main designs that the algorithms proposed namely the Orthogonal-Diamond Search Algorithm with Small Diamond Search Pattern (ODS-SDSP), the Orthogonal-Diamond Search Algorithm with Large Diamond Search Pattern (ODS-LDSP), the Diamond-Orthogonal Search Algorithm with Small Diamond Pattern (DOS-SDSP), the Diamond-Orthogonal Search Algorithm with Large Diamond Pattern (DOS-LDSP), the Modified Diamond-Orthogonal Search Algorithm with Small Diamond Pattern (MDOS-SDSP), and the Modified Diamond-Orthogonal Search Algorithm with Large Diamond Pattern (MDOS-LDSP). …”
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  2. 2
    Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification

    Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification by Nisar, Humaira, Malik, Aamir Saeed, Choi, Tae-Sun

    Published 2012
    “…In video coding, research is focused on the development of fast motion estimation (ME) algorithms while keeping the coding distortion as small as possible. …”
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  3. 3
    New reflector shaping methods for dual-reflector antenna

    New reflector shaping methods for dual-reflector antenna by Quzwain, Kamelia, Yamada, Yoshihide, Kamardin, Kamilia, Abd Rahman, Nurul Huda, Ismail, Alyani

    Published 2022
    “…The reflector antenna is another option for multi beam operations that has high gain and small feeder loss. The problem of the reflector antenna is how to achieve good multi beam radiation patterns. …”
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  4. 4
    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data

    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
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  5. 5
    Neural network-based codebook search for image compression

    Neural network-based codebook search for image compression by Bodruzzaman, M., Gupta, R., Karim, M.R., Bodruzzaman, S.

    Published 2000
    “…The codebook is analyzed to identify a pattern in the codebook. This pattern is used to train a neural network to obtain the approximate index of the pattern in the codebook. …”
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  6. 6
    Computing the autopilot control algorithm using predictive functional control for unstable model

    Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

    Published 2009
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  7. 7
    Scheduling of batch process plant / Abdul Aziz Abu Bakar

    Scheduling of batch process plant / Abdul Aziz Abu Bakar by Abu Bakar, Abdul Aziz

    Published 1995
    “…This research work is devoted to software development of scheduling and control algorithm of batch process plant using shortest path method developed by Dijkstra and K* shortest path method developed by Jin Y. …”
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  8. 8
    Feature extraction: hand shape, hand position and hand trajectory path

    Feature extraction: hand shape, hand position and hand trajectory path by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
    “…Features should be chosen so that they are intensive to noise-like variation in pattern and keep the number of feature small for easy computation [5]. …”
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  9. 9
    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir

    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…The development model used for this project is Agile model development cycle. …”
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  10. 10
    Minimizing the number of stunting prevalence using the euclid algorithm clustering approach

    Minimizing the number of stunting prevalence using the euclid algorithm clustering approach by Zarlis, Muhammad, Oktavia, Tanty, Buaton, Relita, Ernawan, Ferda, Andrian, Kevin

    Published 2023
    “…The algorithm used is Euclid. The Euclid algorithm can cluster stunting prevalence data into 4 clusters with the very little category at 79%, the little category at 67%, the many categories at 51%, and the very much category at 21%. …”
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  11. 11
    Investigation of block matching algorithm for video coding

    Investigation of block matching algorithm for video coding by Faizul Hadi Mohamad Jamil

    Published 2013
    “…Then, the best BMA algorithm technique will be chosen to develop a hybrid method that varies with the motion type of the video. …”
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  12. 12
    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    Published 2007
    “…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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  13. 13
    Customer purchase prediction and product recommendations

    Customer purchase prediction and product recommendations by Wong, Ji Hin

    Published 2024
    “…Besides, both Apriori or the FP-growth algorithms are compared and find out that Apriori is faster for small datasets while FP-Growth is more efficient with large datasets due to its lower memory consumption. …”
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  14. 14
    Low area Programmable Memory Built-In Self-Test (PMBIST) for small embedded ram cores / Nur Qamarina Mohd Noor

    Low area Programmable Memory Built-In Self-Test (PMBIST) for small embedded ram cores / Nur Qamarina Mohd Noor by Mohd Noor, Nur Qamarina

    Published 2013
    “…The third experiment is performed to concurrently test an array of small embedded RAMs which is developed on a FPGA device. …”
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  15. 15
    In silico prediction and validation of Gfap as miR-3099 target in the mouse brain

    In silico prediction and validation of Gfap as miR-3099 target in the mouse brain by Zainal Abidin, Shahidee, Leong, Jia Wen, Mahmoudi, Marzieh, Nordin, Norshariza, Abdullah, Syahrilnizam, Cheah, Pike See, Ling, King Hwa

    Published 2017
    “…MicroRNAs are small non-coding RNAs that play crucial roles in the regulation of gene expression and protein synthesis during brain development. …”
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  16. 16
    A framework of modified adaptive neuro-fuzzy inference engine

    A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

    Published 2012
    “…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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  17. 17
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Joret, Ariffuddin Joret, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  18. 18
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Jore, Ariffuddin Jore, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  19. 19
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Liew Abdullah, Muhammad Faiz, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  20. 20
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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