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  1. 1

    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

    Published 2025
    “…The research seeks to identify key challenges with the goal of developing effective approaches in 6G HetNets. In this context, resource management aspects such as user association, spectrum allocation, and power allocation are studied. …”
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    Thesis
  2. 2

    Dynamics and control of underactuated systems with applications in robotics / Ahmad Azlan Mat Isa … [et al.] by Mat Isa, Ahmad Azlan

    Published 2011
    “…An adaptive learning algorithm using an artificial neural network ANN has been utilized to predict the passive joint position of underactuated robot manipulator. …”
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    Research Reports
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    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…To address this issue, this study incorporated joint graph learning from the gmc algorithm into swmcan, creating a new algorithm called swmcan-jg. …”
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    Thesis
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    Characterisation and model updating of modal parameters of a car hood structure / Mohamad Shamsul Azraf Sulaiman by Sulaiman, Mohamad Shamsul Azraf

    Published 2020
    “…Understandably, the mechanical joints have a significant effect to the dynamic characteristic of assembled structure because each of the joint in the structure has its own joint properties such as slip factor, contact surface and non-linearity. …”
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    Thesis
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    Strategies for effective value management practice in construction industry by Zulhkiple, A. Bakar

    Published 2017
    “…This dissertation explores the development of VM methodology through the joint use of a finite element software (Etabs) and genetic algorithm (GA) optimisation design to minimise the cost value of buildings by optimising structural elements. …”
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    Thesis
  7. 7

    Structural assessment of a proposed precast wall connection under combined loading by Vaghei, Ramin

    Published 2016
    “…For this purpose, constitutive law and mathematical model for the IBS members, including: walls and connections are formulated and finite element algorithm is developed. In order to develop finite element formulation for proposed connection is required to determine stiffness of connection in all 6 degree of freedoms (DOFs). …”
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    Thesis
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    Comparison of hidden Markov Model and Naïve Bayes algorithms among events in smart home environment by Babakura, Abba, Sulaiman, Md Nasir, Mustapha, Norwati, Kasmiran, Khairul A.

    Published 2014
    “…The subsystems, due to their diversified nature develop difficulties as the events communicate making the smart home uncomfortable. …”
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    Conference or Workshop Item
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    Recognition of human motion from qualitative normalised templates by Chan, C.S., Liu, H., Brown, D.J.

    Published 2007
    “…In contrast to other human motion classification methods which usually include a human model, prior knowledge on human motion and a matching algorithm, we replace the matching algorithm (e.g. template matching) with the proposed QNTs. …”
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    Article
  10. 10

    Enhancement of medical image compression algorithm in noisy WLANS transmission by Algaet, Mustafa Almahdi

    Published 2018
    “…For image reconstruction,decoding steps based the developed quantization architecture are examined.The EICA is particularly useful where the size of the transmitted data needs to be reduced to minimize the image transmission time.For data compression with suitable and effective performance,enhanced independent components analysis (EICA) is proposed as an algorithm for compression and decompression of medical data.A comparative analysis is performed based on existing data compression techniques:discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT),and Joint Photographic Experts Group (JPEG 2000).Three main modules,namely,compression segment (CS),transceiver segment (TRS),and outcome segment (OTS) modules,are developed to realize a fully computerized simulation tool for medical data compression with suitable and effective performance.To compress medical data using algorithms,CS module involves four different approaches which are DCT, SPIHT,JPEG 2000 and EICA.TRS module is processed by low-cost WLANs with low-bandwidth transmission.Finally,OTS is used for data decompression and visualization result.In terms of compression module,results show the benefits of applying EICA in medical data compression and transmission.While for system design,the developed system displays favorable outcomes in compressing and transmitting medical data.In conclusion,all three modules (CS,TRS,and OTS) are integrated to yield a computerized prototype named as Medical Data Simulation System(Medata-SIM) computerized system that includes medical data compression and transceiver for visualization to aid medical practitioners in carrying out rapid diagnoses.…”
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    Thesis
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    Delay-Aware Energy-Efficient Joint Power Control and Mode Selection in Device-to-Device Communications for FREEDM Systems in Smart Grids by Fauzun Abdullah Asuhaimi, Muhammad Ali Imran, Shengrong Bu, Joao Pedro Battistella Nadas

    Published 2024
    “…We adopt a D2D-assisted relaying framework to assist links that meet poor channel conditions in order to increase the data rate of intelligent energy management devices with large size report. We propose a joint power control and mode selection scheme to deal with the problem and develop a brute-force-based algorithm to find the solutions. …”
    Article
  14. 14

    Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi by Hayawi, Mustafa Jabbar

    Published 2015
    “…An electronic board, transistor relay driver circuit, is designed for the purpose of establishing communication interface between the computer, adaptive learning algorithm and the actuator mechanism. Design and development an adaptive learning algorithm controller ALAC of position the actuators is presented in real time parallel manipulator based on artificial neural network ANN. …”
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    Thesis
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    An Intelligent Detection System for Rheumatoid Arthritis (RA) Disease using Image Processing by Hajyyev, Abdyrahym

    Published 2014
    “…The images obtained from MIVIA dataset has been manually segmented to cell level from the image level. Developing an automated segmentation algorithm might give better results.…”
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    Final Year Project
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    Computational modeling of running biomechanics in amateur runners by Teh, Yew Wei

    Published 2024
    “…These simulations were compared to experimental data for validation, where Reduce Residual Algorithm (RRA) was found to be most effective in the determination of ankle moment. …”
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    Final Year Project / Dissertation / Thesis
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    STRUCTRAL BEHA VIORE OF REINFORCED CONCRETE BEAMS STRENGTHED FOR SHEAR USING CFRP LAMINATES SUBJECTED TO CYCLIC LOADING by ABDEL WAHAB, LOUA Y MAHMOUD

    Published 2010
    “…A new experimental methodology that enables to study the interfacial behaviour of CFRP-to-concrete joints under cyclic shear loading was developed. An experimental program consisted of testing specified number of push off specimens has been conducted. …”
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    Thesis
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    Finite element modelling of damage fracture and fretting fatigue by Wahab, M. Abdel, Hilmy, Irfan, Hafiz, Tauqeer, Talemi, R. Hojjati

    Published 2012
    “…It is then used to predict the number of cycles to crack initiation in adhesively bonded joints. Furthermore, crack propagation algorithm is programmed within FE code using the principles of Fracture Mechanics and Paris law. …”
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    Proceeding Paper