Search Results - (( based application among algorithm ) OR ( iot applications using algorithmic ))*

Refine Results
  1. 1

    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
  2. 2

    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
  3. 3

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
    Get full text
    Get full text
    Article
  4. 4

    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

    Published 2023
    “…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN by Ibrahim, Nurul Saliha Amani

    Published 2022
    “…Due to finite resource, multiple issues need to be considered in designing such system, including AG flight time, coverage radius and the achievable data rate of the ground-to-air system, thus an Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. EECPP consist of two algorithms which is Stop Point Prediction Algorithm using K-Means, which finding the stop point for the AG after grouping the IDs into clusters, and Path Planning Algorithm using Particle Swarm Optimization which connect all of the stop point in shortest route. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

    A development of IoT based basal body temperature (BBT) device with ovulation and pregnancy prediction system using fuzzy logic method by Mohd Yazed, Muhammad Syukri

    Published 2019
    “…Besides, the products are lack of clinical studies being reported on the algorithm used to derive the information needed for fertility monitoring. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

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

    Published 2024
    “…There are security issues associated with the proliferation of IoT-connected devices, allowing IoT applications to evolve. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16
  17. 17
  18. 18
  19. 19

    Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics by Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Shatat, Abdallah Saleh Ali, Akhtar, Md. Mobin, Rizwanullah, Mohammed, Mohamed, Sara Saadeldeen Ibrahim

    Published 2024
    “…Likewise, in this paper, a machine learning-based big data analytics model is developed for predictingmulti-diseases to provide a better decision support system for various healthcare applications. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  20. 20