Search Results - (( mobile evaluation window algorithm ) OR ( based optimization isotherm algorithm ))

Search alternatives:

  • Showing 1 - 15 results of 15
Refine Results
  1. 1
    Performance evaluation of seed values and pause times over high speed Wireless Campus Network in IEEE802.11e

    Performance evaluation of seed values and pause times over high speed Wireless Campus Network in IEEE802.11e by Alam Shishir, Md. Khorsed, Abd Latif, Suhaimi, Akter, Mahmuda, Hakak, Saqib Iqbal, Masud, Massarof H., Anwar, Farhat

    Published 2014
    “…Due to this randomness of back-off window algorithm to provide probabilistic QoS to satisfy the multimedia traffic through the network, the random mobility model can reduce the network performance. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  2. 2
    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model

    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

    Published 2024
    “…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    The impact of randomness on high speed wireless campus network in IEEE802.11e

    The impact of randomness on high speed wireless campus network in IEEE802.11e by Alam, M.K., Abd Latif, Suhaimi, Akter, Mahmuda, Masud, M. H., Hakak, Saqib Iqbal, Khan, M.N.H, Anwar, Farhat

    Published 2014
    “…However, the back-off window mechanism ensures QoS to satisfy multimedia traffic but it only the probabilistic QoS due to the random nature of the algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  4. 4
    An efficient battery lifetime aware power saving (EBLAPS) mechanism in IEEE 802.16e networks

    An efficient battery lifetime aware power saving (EBLAPS) mechanism in IEEE 802.16e networks by Saidu, Ibrahim, Subramaniam, Shamala, Jaafar, Azmi, Ahmad Zulkarnain, Zuriati

    Published 2015
    “…The IEEE 802.16e standard is an emergent broadband wireless access technology that added the mobility feature to the original standard. This feature made battery life of an operated mobile subscribe station (MSS) a bigger challenge because an MSS is powered by a rechargeable battery. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Framework for stream clustering of trajectories based on temporal micro clustering technique

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
    “…A comprehensive experimental analysis was conducted to evaluate the efficiency and effectiveness of the proposed algorithms (ONF-TRS, CC-TRS). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    A gauss-newton approach for nonlinear optimal control problem with model-reality differences

    A gauss-newton approach for nonlinear optimal control problem with model-reality differences by Sie, Long Kek, Jiao, Li, Leong, Wah June, Abd Aziz, Mohd Ismail

    Published 2017
    “…Here, the linear model-based optimal control model is considered, so as the optimal control law is constructed. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Enhanced TCPW's fast retransmission and fast recovery mechanism over high bit errors networks

    Enhanced TCPW's fast retransmission and fast recovery mechanism over high bit errors networks by Al-Hasanat M., Seman K., Saadan K.

    Published 2024
    Conference Paper
    Save to List
    Saved in:
  8. 8
    Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer

    Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer by Temitope T., Dele-Afolabi, Masoud, Ahmadipour, Mohamed Ariff, Azmah Hanim, A.A., Oyekanmi, M.N.M., Ansari, Sikiru, Surajudeen, Kumar, Niraj

    Published 2024
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer

    Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer by Dele-Afolabi T.T., Ahmadipour M., Azmah Hanim M.A., Oyekanmi A.A., Ansari M.N.M., Sikiru S., Kumar N.

    Published 2025
    Article
    Save to List
    Saved in:
  10. 10
    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption

    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption by Zamani, Seyed Ali

    Published 2015
    “…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)

    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN) by Khan T., Manan T.S.B., Isa M.H., Ghanim A.A.J., Beddu S., Jusoh H., Iqbal M.S., Ayele G.T., Jami M.S.

    Published 2023
    Article
    Save to List
    Saved in:
  12. 12
    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)

    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN) by Khan, T., Manan, T.S.B., Isa, M.H., Ghanim, A.A.J., Beddu, S., Jusoh, H., Iqbal, M.S., Ayele, G.T., Jami, M.S.

    Published 2020
    “…The Fletcher-Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Modelling and simulation of hollow profile aluminium extruded product

    Modelling and simulation of hollow profile aluminium extruded product by Sulaiman, Shamsuddin, Baharudin, B. T. Hang Tuah, Mohd Ariffin, Mohd Khairol Anuar, Magid, Hani Mizhir

    Published 2015
    “…This process is an isothermal process with an extrusion ratio of 3.3. Subsequently, the optimized algorithm for these extrusion parameters was suggested based on the simulation results. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)

    Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann) by Khan, Taimur, Abd Manan, Teh Sabariah, Hasnain Isa, Mohamed, A. J. Ghanim, Abdulnoor, Beddu, Salmia, Jusoh, Hisyam, Iqbal, Muhammad Shahid, Ayele, Gebiaw T, Jami, Mohammed Saedi

    Published 2020
    “…The Fletcher–Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Design, optimization, fabrication and analysis of Cu microheater for loop-mediated isothermal amplification (LAMP) applications

    Design, optimization, fabrication and analysis of Cu microheater for loop-mediated isothermal amplification (LAMP) applications by Narayanamurthy, Vigneswaran, Samsuri, Fahmi, Jeroish, Z. E., Shankar, Abhishek Futane, Shanmugavel, Bhuvaneshwari Kumaravel

    Published 2023
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: