Modeling the factors causing cost overrun in UAE construction industry by Ahmed Marey Alhammadi, Ahmed Salem

“…PLS-SEM involved 4 iterations before the model achieved the measurement evaluation criteria adequacy. …”
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Mixed convection in a lid-driven enclosure filled with hybrid nanofluid by finite volume method by Ridha Ali, Inas

“…The resultant matrices were then solved iteratively using the Tri-Diagonal Matrix Algorithm coded in FORTRAN90. …”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by SUWOYO, HERU, ADRIANSYAH, ANDI, JULI RI ANDIKA, JULI RI ANDIKA, SHAMSUDIN, ABU UBAIDAH, ZAKARIA, MOHAMAD FAUZI

“…It is logically realistic because A* searches and evaluates all neighbors of a current node when finding the node with low cost to the start and goal node for each iteration. Therefore, the risk of collision with an obstacle in the goal region is covered, and generating an initial path in the narrow channel can be handled. …”
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

“…The variations of second order optimisation methods have been proposed which provide less iteration of convergence. Yet, an issue with these methods is occasionally converging to the undesired local minima. …”
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The development of a business framework and techno-financial model for biomass power plants by Abdul Latif, Abdul Maulud

“…components inter-reacting iteratively to provide a cost-efficient investment. …”
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Design and fabrication of a polymer based directional coupler thermooptic switch by Mohd. Supa'at, Abu Samah

“…Optical propagation in dielectric waveguides has been analyzed using the semi analytical effective index method and numerical method based on finite difference approach. The iterative solution and successive over relaxation method have been sought for better results of the criterion of sufficient accuracy and improvement of speed of convergence respectively. …”
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Adapting Rational Unified Process (RUP) approach in designing a secure e-Tendering model by Mohd, Haslina, Robie, Muhammad Afdhal Muhammad, Baharom, Fauziah, Muhd Darus, Norida, Saip, Mohamed Ali, Yasin, Azman

“…RUP is characterized as a use case driven, architecture centered, iterative and incremental process model. However the scope of this study only focusing on Inception and Elaboration phases as step to develop the model and perform only three of nine workflows (business modeling, requirements, analysis and design). …”
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Strategizing inclusivity in teaching diverse learners in higher education by Awang Hashim, Rosna, Kaur, Amrita, Valdez, Nena P.

“…Methodology - Participants were nine academicians (6 males and 3 females) who emerged from natural retention along the iterative cycles on Community of Practice (CoP) participation. …”
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Enhancing science achievement utilising an integrated STEM approach by Mohd Saat, Rohaida, Yaki, Akawo Angwal, Sathasivam, Renuka V., Zulnaidi, Hutkemri

“…The experimental group was taught genetics using a five phased iterative ISTEMA process. Pre-test and post-test data were collected using 40 multiple-choice questions adopted from a national high-stakes examination. …”
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Adaptive Neuro-Fuzzy Inference System (Anfis) to Predict Ci Engine Parameters Fueled with Nano-Particles Additive to Diesel Fuel by M., Ghanbari, G., Najafi, B., Ghobadian, R., Mamat, M. M., Noor, A., Moosavian

“…For ANFIS modelling, Gaussian curve membership function (gaussmf) and 200 training epochs (iteration) were found to be optimum choices for training process. …”
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Three-Dimensional Analyses of Excavation Support System for the Stata Center Basement on the MIT Campus by Olsen, Matthew B., Orazalin, Zhandos, Whittle, Andrew

“…This paper describes the development of a comprehensive three-dimensional (3D) finite-element (FE) model for the Stata Center basement excavation, which has been enabled by recent advances made available in a FE software package, including efficient multicore iterative solving capabilities, importing of geometric data from computer-aided design files, and use of embedded pile elements to represent tieback anchors. …”
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Progressive Saturation Improves the Encapsulation of Functional Proteins in Nanoscale Polymer Vesicles by Yewle, Jivan, Wattamwar, Paritosh, Tao, Zhimin, Ostertag, Eric M., Ghoroghchian, P. Peter, Ghoroghchian, Paiman Peter

“…Results Using the established “thin-film rehydration” and “direct hydration” methods, Mb was found to be largely surface-associated with negligible aqueous encapsulation within polymersome suspensions. Through iterative optimization, a novel “progressive saturation” technique was developed that greatly increased the final concentrations of Mb (from < 0.5 to > 2.0 mg/mL in solution), the final weight ratio of Mb-to-polymer that could be reproducibly obtained (from < 1 to > 4 w/w% Mb/polymer), as well as the overall efficiency of Mb encapsulation (from < 5 to > 90%). …”
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Predicting Correlation Coefficients for Monte Carlo Eigenvalue Simulations by Miao, Jilang, Forget, Benoit Robert Yves, Smith, Kord S.

“…Correlation effects between neutrons in multiplying systems, particularly when performing power iteration to evaluate eigenvalues have been observed in previous work. …”
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A Hybrid Computational and Analytical Model of Inline Drip Emitters by Narain, Jaya, Winter, Amos G.

“…The combined hybrid computational-analytical model reduces the computational time of modeling drip emitter performance from days to less than 30 minutes, dramatically lowering the time required to iterate and select optimal designs. The model was validated using three commercially available drip emitters, rated at 1.1, 2, and 3.8 L/hr. …”
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Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method by Fournier, Nicholas, Christofa, Eleni, Akkinepally, Arun P, Azevedo, Carlos Lima

“…The integrated process is compared against conventional ad hoc location assignment process, using both classical and contemporary synthesis techniques of Iterative Proportional Fitting, Markov chain Monte Carlo simulation, and Bayesian Network simulation. …”
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Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network by Mo, Baichuan, Wang, Qingyi, Guo, Xiaotong, Winkenbach, Matthias, Zhao, Jinhua

“…To further capture the global efficiency of the route, we propose a new iterative sequence generation algorithm that is used after model training to identify the first stop of a route that yields the lowest operational cost. …”
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PetaBricks: A Language and Compiler for Algorithmic Choice by Ansel, Jason Andrew, Chan, Cy, Wong, Yee Lok, Olszewski, Marek Krystyn, Zhao, Qin, Edelman, Alan, Amarasinghe, Saman P.

“…When choosing between various direct and iterative methods, the PetaBricks compiler is able to tune a program in such a way that delivers near-optimal efficiency for any desired level of accuracy. …”
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Performance analysis of queueing networks via robust optimization by Gamarnik, David, Rikun, Alexander Anatolyevich, Bertsimas, Dimitris J

“…These implications take the form of simple linear constraints, namely, those motivated by the law of the iterated logarithm (LIL). Using this approach we are able to obtain performance bounds on some key performance measures. …”
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Modular Design of Artificial Tissue Homeostasis: Robust Control through Synthetic Cellular Heterogeneity by Miller, Miles Aaron, Hafner, Marc, Sontag, Eduardo, Davidsohn, Noah Justin, Subramanian, Sairam, Purnick, Priscilla E. M., Lauffenburger, Douglas A., Weiss, Ron

“…Diabetes therapy represents a possible application for engineered homeostasis, where genetically programmed stem cells maintain a steady population of β-cells despite continuous turnover. We develop a new iterative process that incorporates modular design principles with hierarchical performance optimization targeted for environments with uncertainty and incomplete information. …”
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Language and Compiler Support for Auto-Tuning Variable-Accuracy Algorithms by Ansel, Jason Andrew, Wong, Yee Lok, Chan, Cy, Olszewski, Marek Krystyn, Edelman, Alan, Amarasinghe, Saman P.

“…To this end, programmers often use approximation algorithms, iterative methods, data resampling, and other heuristics. …”
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