Search Results - (( pressure distribution rate algorithm ) OR ( parameters variation metric algorithm ))*

Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

“…This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE) by Tijani, Ismaila Bayo, Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus

“…The result of performance evaluation shows robustness to parameter variation of up to 20 per cent variation in nominal values, and in addition provides satisfactory disturbance rejection to wind disturbance in all the three axes. …”
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Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices by Oskoui, Issa Saket

“…In the next stage, the modified Sequent Peak Algorithm (SPA) is employed for the Storage-yield planning analysis of reservoir systems at different demands, reliability and vulnerability performance metrics employing the synthetic streamflow data. …”
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Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid by Ariya Sinhalage Buddhika Eshan Karunarathne

“…In addition, the solutions have been evaluated based on pre-defined performance metrics and the outcomes of the optimization framework were compared with the other existing optimization techniques to evaluate the potency and the productivity of the developed MLPSO algorithm. …”

Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar by Ahlad, Kumar

“…In the third method, Tchebichef moments (TM) of low order are selected as features used as inputs to ELM to estimate the Gaussian blur parameters. Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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Designing of prediction model for parameter optimization in cnc machining based on artificial neural network / Armansyah ... [et al.] by Armansyah, Puji, Muhammad Nurul, Mardhani, Muhammad Destri, Suartana, I Putu Eka, Desmawati, Ferdyanto, Kusumah, Muhammad Afiff, Yafi, Muhammad Umar, Saedon, Juri

“…The consistent surface finishes in polishing remain a significant challenge. Variations in machining parameters often lead to inconsistent results, negatively impacting both the appearance and functionality of polished components. …”
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Lumped parameter modelling in femoral popliteal artery for normal and severe conditions by Kaha, Asrizan, Taib, Ishkrizat, Paisal, Muhammad Sufyan Amir, Tajul Arifin, Ahmad Mubarak, Ismail, Al Emran, Asmuin, Norzelawati, Abdul Haq, Reazul Haq, Chatpun, Surapong, Yamamoto, Takahisa, Osman, Kahar

“…In conclusion, the obtained waveform propagation from the linear analysis of the lumped parameter modelling shows that the periodic mean pressures and flow rate distributions in large arteries are highly depend on the resistances and the compliances. …”
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Kinetic modelling of free-radical vinyl chloride polymerization with a mixture of initiators by Tan , Amy Siew Wern, Mohd. Yusof, Khairiyah, Hashim, Shahrir

“…The isothermal model predicts the overall monomer conversion, the polymerization rate, reactor pressure and the monomer distribution in the gas, aqueous, and polymer phases for the polymerization cycle. …”
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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

“…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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Development of a State-Space Observer for Active Noise Control Systems by Muhssin, Mazin T.

“…The secondary path of the ANC system is modeled by using the LMS algorithm to complete the design of the Filtered-X Least Mean Square (FXLMS) controller. …”
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Forecasting of meteorological drought using ensemble and machine learning models by Pande C.B., Sidek L.M., Varade A.M., Elkhrachy I., Radwan N., Tolche A.D., Elbeltagi A.

“…Therefore, the Matern GPR model was identified as the finest ML algorithm for predicting SPI-3 and SPI-6 associated with other algorithms. …”

Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system by Fayaz, Hussain, Ramesh, S., Afzal, Asif, Agbulut, Ümit, Khan, Sher Afghan, Asif, Mohammed, Raja, Vijayanandh, Linul, Emanoil

“…A finite volume solver is used for solving thermal and fluid flow governing equations. A pressure staggering option algorithm is applied for pressure–velocity coupling. …”
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Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system by Fayaz H., Ramesh S., Afzal A., A?bulut �., Afghan Khan S., Asif M., Raja V., Linul E.

“…A finite volume solver is used for solving thermal and fluid flow governing equations. A pressure staggering option algorithm is applied for pressure?…”

Dynamic two phase modelling and anfis-based control of ethylene copolymerization in catalytic Fluidized Bed Reactor / Mohammad Reza Abbasi by Mohammad Reza , Abbasi

“…The results showed that the dynamic model predicts more accurate results for Polydispersity Index (PDI), Molecular Weight Distribution (MWD), reactor temperature and polymer production rate. …”
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Development and characterization of parenteral nano-delivery system loaded with azithromycin by Daood, Ghaidaa S

“…With the aim of brain targeting, AZO-loaded nanoemulsions were developed utilizing high pressure homogenization with a homogenization pressure of 1000 bar for 8 cycles. …”
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