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DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS
Published 2011“…The ANN model has been developed using resilient back-propagation learning algorithm. …”
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Simulation of single and dual layered rapid pressure swing adsorption
Published 2013“…It is also found that the oxygen product purity increases by almost 20% when the first layer is packed with Zeolite AgLiX and Zeolite 5A in the second layer. Higher pressure drop across the bed is induced when particles of smaller pressure drop are used in the first layer and particles of larger pressure drop are used in the second layer, hence leading to better separation. …”
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Recognising Malaysia traffic sign with rain drop disturbance using deep learning
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Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Published 2022“…This developed multi-objective optimization was designated as adaptive jumping multi-objective firefly algorithm (AJ-MOFA). …”
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Performance Comparison of Packet Queuing Algorithm in Wireless Networks
Published 2014“…Therefore, a good strategy of packet queuing algorithm is very important to avoid packets drop. …”
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Performance Comparison of Packet Queuing Algorithm in Wireless Networks
Published 2014“…Therefore, a good strategy of packet queuing algorithm is very important to avoid packets drop. …”
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Permeance based algorithm for computation of flux linkage characteristics of non-linear 6/4 Switched Reluctance Motor (SRM)
Published 2016“…The aim of this paper is to develop an efficient algorithm exploiting the nonlinear feature of the 6/4 SRM using the aforementioned concept of permeance. …”
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Vehicle pick-up and drop-off schedule optimization in a university setting
Published 2024“…Extensive experiments validate the algorithm’s effectiveness, optimize parameters, and demonstrate the dynamic handler's ability to manage real-time requests accurately. …”
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Final Year Project / Dissertation / Thesis -
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Experimental and modeling evaluation of droplet size in immiscible liquid-liquid stirred vessel using various impeller designs
Published 2019“…Adaptive neuro-fuzzy inference system based on fuzzy C–means (ANFIS-FCM) clustering algorithm was used to develop a model to predict drop sizes, and its validation and accuracy were examined by comparing the results to the experimental data. …”
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On the delay and link utilization with the new-additive increase multiplicative decrease congestion avoidance and control algorithm
Published 2010“…We want to evaluate the effect of using the AIMD algorithm after developing it, which we called the New-AIMD algorithm, to find a new approach to measure the end-to-end delay and bottleneck link utilization and use the NCTUns simulator to obtain the results after making the modification for the mechanism. …”
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Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection
Published 2024“…This study develops and analyze using neural network-based models for effective classification of data packets using the DSCP header field. …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…This research attempts to develop a new control algorithm to regulate the blood glucose level (BGL) for Type 1 Diabetes. …”
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Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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Delay-based and QoS-aware packet scheduling for RT and NRT multimedia services in LTE downlink systems
Published 2018“…Complying with QoS of different traffic types, we effectively analyze the queue buffer of each user flow by developing an algorithm called Efficient Delay Control (EDC) that weights each flow priority in terms of delay. …”
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Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
Published 2011“…In the GA, a fuzzy controller is used to dynamically adjust the crossover and mutation rates to maintain the proper population diversity (PD) during GA’s operation. This effectively overcomes the premature convergence problem of the simple genetic algorithm (SGA). …”
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Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
Published 2017“…By implementing FL based CV algorithm into this method, it makes the system more robust and reliable in terms of effectiveness and efficiency. …”
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INVESTIGATION ON THE CUTTING PARTICLES TRANSPORT IN HORIZONTAL WELL DRILLING
Published 2010“…The cuttings size, mud viscosity and annular size demonstrated significant effect on transport process. While the operational rate of penetration performed the lowest effect between the entire parameters of the cuttings transport. …”
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