Search Results - (( based application ((a algorithm) OR (bat algorithm)) ) OR ( iot applications using algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Bats echolocation-inspired algorithms for global optimisation problems by Nafrizuan, Mat Yahya

    Published 2016
    “…The algorithm is a hybrid algorithm that operates using dual level search strategy that takes merits of a particle swarm optimisation algorithm and a modified adaptive bats sonar algorithm. …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5

    A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm by Mohd Annuar, Khalil Azha, Selamat, Nur Asmiza, Jaafar, Hazriq Izzuan, Mohamad, Syahrul Hisham

    Published 2013
    “…Each bat in Bat Algorithm represents a candidate solution for the problem and each dimension in the search space of the Bat Algorithm represents a parameter of intrinsic parameters: skew, focal length, and magnification factor. …”
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6
  7. 7
  8. 8

    Trust-based enhanced ACO algorithm for secure routing in IoT by Sharmin, Afsah, Motakabber, S M A, Hassan Abdalla Hashim, Aisha

    Published 2024
    “…In order to provide an energy-efficient and secure routing method for sensors deployed within a dynamic IoT network, this paper presents a trust-aware enhanced ant colony optimization (ACO)-based routing algorithm, incorporating a lightweight trust evaluation model. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar by Jaafar, Siti Aisyah

    Published 2021
    “…Conventional AR-IoT applications only specialize in the localized area for the on-site application and not applicable for a remote monitoring system. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Efficient and scalable ant colony optimization based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2020
    “…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION by Kappagantula, S., Vojjala, S., Iyer, A.A., Velidi, G., Emani, S., Vandrangi, S.K.

    Published 2023
    “…Swarm Intelligence is inspired by naturally occurring swarm systems suchas Ant Colony, Bees Hive, or Bats. The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. …”
    Get full text
    Get full text
    Article
  12. 12

    New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

    Published 2024
    “…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
    Get full text
    Get full text
    Thesis
  13. 13

    An efficient IoT-based smart water meter system of smart city environment by Al-Madhrahi, R., Abdullah, J., Alduais, N. A. M., Mahdin, H.B., Saad, A. -M. H. Y., Nasser, A. B., Alduais, H. S.

    Published 2021
    “…Therefore, this study aims to implement and analyze an efficient data collection algorithm for IoT-based smart metering applications in consideration with energy consumption. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20