Search Results - (( motion prediction models algorithm ) OR ( swarm optimization steam algorithm ))

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  1. 1
    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant

    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

    Published 2009
    “…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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  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. …”
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  3. 3
    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. …”
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  4. 4
    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
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  5. 5
    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. …”
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  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 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. …”
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  7. 7
    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. …”
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  8. 8
    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
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  9. 9
    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. …”
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  10. 10
    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. …”
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  11. 11
    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. …”
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  12. 12
    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.…”
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  13. 13
    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. …”
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  14. 14
    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. …”
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  15. 15
    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. …”
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  16. 16
    Development of optimized maintenance scheduling model for coal-fired power plant boiler

    Development of optimized maintenance scheduling model for coal-fired power plant boiler by Noor Fazreen Binti Ahmad Fuzi, Ms.

    Published 2023
    “…In this thesis, two different approaches, Mixed Integer Linear Programming (MILP) and Particle Swarm Optimization (PSO) were selected to solve the maintenance schedule and optimization problems in coal-fired power plant boilers. …”
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  17. 17
    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. …”
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  18. 18
    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. …”
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  19. 19
    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. …”
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  20. 20
    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. …”
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