Search Results - (( java implementation cell algorithm ) OR ( knowledge generation force algorithm ))

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  1. 1

    Automated Model Generation Approach Using MATLAB by Xia, Likun

    Published 2011
    “…Model generators can also be categorized into the black, grey or white box approaches, depending on the level of existing knowledge of the system’s structure and parameters. …”
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  2. 2

    Tubular Linear Switched Reluctance Actuator: Design And Characterization by Yeo,, Chin Kiat

    Published 2019
    “…The developed tubular LSRA is capable of generating a maximum static force of 0.65 N which is within the required range needed to be operated in semiconductor fabrication process. …”
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  3. 3

    Aligning Malaysian SMEs with the megatrends: the roles of HPWPs and employee creativity in enhancing Malaysian SME performance by Ismail, AbdussalaamIyanda, Abdul Majid, Abdul Halim, Abdul Rahman, Maria, Jamaluddin, Noor Asma, Susantiy, Ade Irma, Setiawati, Cut Irna

    Published 2018
    “…Also, HPWPs that focus on development of creative problem-solving skill can enhance workers’ ability to generate alternative solutions, product knowledge and customer service skills which are crucial to creativity in the organization. …”
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  4. 4

    Al-Istikhlāf framework in the age of artificial intelligence: reclaiming the human identity and responsibility in the digital era by Wan Ismail, Hidayah, Abdelaziz, Berghout

    Published 2025
    “…Artificial intelligence (AI) has emerged as one of the most disruptive forces of the twenty-first century, reshaping cultures, economies, social relations, and even the definition of human intelligence, creativity, and knowledge. …”
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  5. 5

    Tubular linear switched reluctance actuator: Design and characterization by Md Ghazaly, Mariam, Yeo, Chin Kiat, Chong, Shin Horng, Hasim, Norhaslinda, Abdullah, Zulkeflee, Nordin, Nurdiana

    Published 2022
    “…The developed tubular LSRA can generate a maximum static force of 0.65 N. Through the open-loop reciprocating motion, the dynamic responses of the tubular LSRA can achieve a maximum velocity of 210 mm/s and maximum acceleration of 8m/s2, which are in the performance range for precision mechanism.…”
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  6. 6

    End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels by Mfarej, Sumaya Dhari Awad

    Published 2021
    “…Although the conventional algorithm, MMSE, outperforms the pro�posed algorithms when the number of pilots increased but it is not applicable in real transmission as it is required prior knowledge about the channel statistic which is not the case with DL-based estimators which rely only on the pilots. …”
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