Search Results - (( motion predictive model algorithm ) OR ( whale optimization steam algorithm ))

Search alternatives:

Refine Results
  1. 1
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…Relying on the social force model, a predicted direction of the motion vectors (MV) could be measured significantly. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…Relying on the social force model, a predicted direction of the motion vectors (MV) could be measured significantly. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    An Adaptive Motion Estimation Algorithm for Irregular Motion of Objects

    An Adaptive Motion Estimation Algorithm for Irregular Motion of Objects by Kajo, Ibrahim, Malik, Aamir Saeed, Kamel , Nidal

    Published 2014
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  4. 4
    Investigation of block matching algorithm for video coding

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

    Published 2013
    “…The temporal model deals with motion estimation (ME) and motion compensation (MC) algorithm with the matching technique called “Block Matching Algorithm” (BMA) to produce the next encoded video frame with motion vector. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel by Bong, Charles Hin Joo, Isa, Ebtehajaj, Hossein, Bonakdari, Fatemeh, Khoshbin, Aminuddin, Bin Ab Ghani

    Published 2017
    “…Using three di�erent sources of experimental data and GMDH-GA model, a new equation is proposed to predict incipient motion. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel by Ebtehaj, I., Bonakdari, H., Khoshbin, F., Hin, Ch. Joo Bong, Ab Ghanid, A.

    Published 2017
    “…Also, a sensitivityanalysis is presented to study the performance of each input combination in predictingincipient motion (15) Development of Group Method of Data Handling based on Genetic Algorithm to predict incipient motion in rigid rectangular storm water channel. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    An adaptive motion estimation algorithm for irregular motion of objects

    An adaptive motion estimation algorithm for irregular motion of objects by Kajo, I., Malik, A.S., Kamel, N.

    Published 2014
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  8. 8
    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893)

    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

    Published 2017
    “…In the most predictive application, Backpropagation (BP) has been used to learn the behavioural motion pattern. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  9. 9
    Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks

    Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks by Wan Mohtar, Wan Hanna Melini, Afan, Haitham, El-Shafie, Ahmed, Bong, Charles Hin Joo, Ab. Ghani, Aminuddin

    Published 2018
    “…This study investigates the performance of artificial neural networks in predicting the incipient sediment motion in sewers. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Fast mode decision algorithm

    Fast mode decision algorithm by Maarif, Haris Al Qodri, Gunawan, Teddy Surya, Khalifa, Othman Omran

    Published 2011
    “…The mode decisions are applied for motion prediction, either intra or inter prediction. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
    Save to List
    Saved in:
  11. 11
    A novel approach to human motion estimation with applications in human-robot safety

    A novel approach to human motion estimation with applications in human-robot safety by Motlagh, O., Tang, Sai Hong, Ismail, Napsiah, Ramli, Abdul Rahman, Samin, Razali

    Published 2008
    “…Supplying knowledge from the presented model of spatial cognition and path planning to mobile robots can enhance their motion algorithms for better obstacle avoidance as well as safer service to users with visual impairment and blindness.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Dynamic modelling of a single link flexible manipulator in vertical motion using swarm and genetic optimisation

    Dynamic modelling of a single link flexible manipulator in vertical motion using swarm and genetic optimisation by Md. Zain, B. A., Tokhi, M. Osman, Toha, Siti Fauziah

    Published 2009
    “…In this research, particle swann optimisation (PSO) and genetic algorithm (GA) are used to model a single-link flexible manipulator. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  13. 13
    Identification and control of a small-scale helicopter

    Identification and control of a small-scale helicopter by Deboucha, A., Taha, Z.

    Published 2010
    “…This identification process is based on the well-known gradient descent learning algorithm. As a case study, the multiple-input multiple-output (MIMO) model predictive control (MPC) is applied to control the pitch motion of the helicopter. …”
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS

    DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS by MOHYALDINN LLHAJ, MYSARA EISSA

    Published 2011
    “…Two models have been used to build the erosion prediction code. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm

    Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm by Salami, Momoh Jimoh Eyiomika, Tijani, Ismaila, Isqeel , Abdullateef Ayodele, Aibinu, Abiodun Musa

    Published 2013
    “…The performance of the algorithm is evaluated on identification of a laboratory rotary motion system. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation

    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…It also efficiently predicts the obstacles’ velocity vector. The designed multilayer decision-based fuzzy logic model effectively solves the path planning queries in crowded and complex situations without any failure. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow

    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow by Harold Harrison, Mazlina Mamat, Farah Wong, Hoe Tung Yew, Racheal Lim, Wan Mimi Diyana Wan Zaki

    Published 2025
    “…This paper introduces a proof-of-concept vision-based deep learning approach for vibration measurement, proposing a factorized (2+1)D Convolutional Neural Network (CNN) model to predict four vibration metrics: acceleration, velocity, displacement, and frequency, with a focus on rigid body motion. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Interface micromotion failure simulation of cementless hip prosthesis

    Interface micromotion failure simulation of cementless hip prosthesis by Abdul Kadir, Mohammed Rafiq, Kamsah, Nazri, Tamin, Mohd. Nasir, Lee, Faisal Abidin

    Published 2007
    “…The results showed that models where muscle loads were included had ten times larger micromotion than those modelled without muscle loads. …”
    Get full text
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  19. 19
    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment

    Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment by Mustapha Amine, Sadi

    Published 2025
    “…This research enhances UAV navigation effectiveness and stability through the development of a robust controller—specifically, a cascade Model Predictive Control (MPC) algorithm, optimized for continuous gust conditions as modelled by the Dryden wind turbulence approach. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: