Search Results - loading computing

Allocation of Cost of Reliability to Various Customer Sectors in a Standalone Microgrid System by Sakthivelnathan Nallainathan, Ali Arefi, Christopher Lund, Ali Mehrizi-Sani

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Intracellular Uptake of Magnetic Nanocapsules with Ionic Chitosan Shells and Magnetically Triggered Cargo Release by Gumieniczek-Chłopek E, Odrobińska-Baliś J, Gilarska A, Opiła G, Ibarra MR, Kapusta C, Zapotoczny S

“…The capsules were characterized using DLS, cryo-TEM. They were loaded with a model fluorescent dye, Nile Red, and pulled into cells applying a static magnetic field. …”
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Optimum scheduling of the HRES for an isolated rural city in Iran by Arman Alimardani, Shahram Jadid

“…Annual and five-year environmental, economic, and technical indexes have been computed and the results have been compared using the indexes in different reliability and storing capacity scenarios. …”
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Bridging Information from Manufacturing to the AEC Domain: The Development of a Conversion Framework from STEP to IFC by Davide Avogaro, Carlo Zanchetta

“…The experimental implementation, carried out using the Bonsai extension for Blender, demonstrates a substantial reduction in geometric complexity and computational load, while maintaining data consistency required for integration into BIM processes. …”
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Using Fuzzy C-Means clustering and PCA in public health: A machine learning approach to combat CVD and obesity by Gamal Saad Mohamed Khamis, Nasser S. Alqahtani, Sultan Munadi Alanazi, Mohammed Muharrab Alruwaili, Mariam Shabram Alenazi, Maneaf A. Alrawaili

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Comparative Analysis of the Demographic Development of the Regions of Kazakhstan by R. U. Rakhmetova, S. A. Kaliyeva

“…This study used the method of SPSS analysis in computer technology using multivariate statistical and mathematical methods to group the regions of Kazakhstan into clusters according to six main indicators (total mortality, infant mortality, demographic load, proportion of triplets, nuptiality, frequency of abortions). …”
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http://journal.ie.asm.md/assets/files/07_03_44_2019.pdf by Tatarinova N.V., Sushchikh V.M.

“…Significance of the obtained results lies in the fact that they make it possible to find reserves for increasing the efficiency of thermal power plants under variable load schedules due to regime and optimization events.…”
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Rationally designed biomimetic bone scaffolds with hierarchical porous-architecture: Microstructure and mechanical performance by Vijay Shankar Kumawat, Sanchita Bandyopadhyay-Ghosh, Subrata Bandhu Ghosh

“…The volume visualisation through X-ray micro-computed tomography confirmed the presence of porous micro-architecture and homogenous dispersion of nFC particulates within the scaffolds. …”
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Pseudo code estimation of LSC-DS-CDMA signal with residual frequency offset by Pan Weiyu, Zhao Zhijin

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Design model of thrust bearing with porous coating on the way surface by Murman A. Mukutadze, Anastasia N. Garmonina, Victor M. Prikhodko

“…The work objectives are the development and computational justification of the possible increase in oil consumption, growth of the bearing capacity, and reduction of the frictional force, due to their design models refinement. …”
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Study of V-notch fatigue strength based on affected depth approach by Youssef, Marwa, Nasr, Anouar

“…The Crossland equivalent stress is employed to compute the stress surrounding the notch of a V-notched material submitted to fully reversed torsion and tension loadings. …”
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Inverse design of adaptive flexible structures using physical-enhanced neural network by Moslem Mohammadi, Abbas Z. Kouzani, Mahdi Bodaghi, Ali Zolfagharian

“…This paper proposes a computationally efficient inverse design framework to predict the nonlinear strain–stress response considering the buckling behaviour under a tensile load. …”
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Asynchronous Coordinated Control Method for Regional Multi-Agent Integrated Energy Systems Considering Voltage Deviation by LU Bin, WANG Yixiao, PU Chuanqing, CHEN Yunhui, CHEN Bobo, FAN Feilong

“…Additionly, under the same calculation load distribution, the computational efficiency of the asynchronous coordination method is 16.6% higher than that of the synchronous method, which verifies the effectiveness of the proposed algorithm.…”
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Characteristics of the Phase-shifting Transformer Realized According to the "Polygon" Connection by Kalinin L.P., Zaitcev D.A., Tirshu M.S., Golub I.V.

“…The model was developed for a series of computational experiments for the cases of: idle, short circuit and loaded regime. …”
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Stochastic Multi-objective Distribution Network Reconfiguration Considering Wind Turbines by Ehsan Azad Farsani, Mohsen Zare

“…Moreover, a stochastic scenario-based model is considered to meet the uncertainty of WTGs and loads. The bases of the proposed stochastic model are generation of stochastic scenarios using the roulette wheel mechanism, and a scenario reduction technique to decrease the computation burden of the problem.  …”
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Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications by Takahiro Yamane, Moeka Kimura, Mizuki Morita

“…For long-term monitoring in clinical settings, the volume of data collected over time should be minimized to reduce power consumption, computational load, and communication volume. This study aimed to determine the lowest sampling frequency that maintains recognition accuracy for each activity. …”
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Regenerative potential of PRP-based scaffolds in chronic wound healing: Mechanisms, advances, and therapeutic insights by Farag M.A. Altalbawy, Bilal Abdul Majeed Mukhlif, Ahemad Hussen, Jaafaru Sani Mohammed, Renuka Jyothi S, Arshdeep Singh, Shakti Bedanta Mishra, Ashish Singh Chauhan, Mohammad Ebrahim Astaneh, Narges Fereydouni

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Smart Grid System Based on Blockchain Technology for Enhancing Trust and Preventing Counterfeiting Issues by Ala’a Shamaseen, Mohammad Qatawneh, Basima Elshqeirat

“…A key contribution of the system is the design of a novel consensus algorithm, Proof of Energy, which selects validators based on node roles and randomized assignment, rather than computational power or stake ownership. This makes it more suitable for smart grid environments. …”
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Experimental Validation and Optimization of a Hydrogen–Gasoline Dual-Fuel Combustion Model in a Spark Ignition Engine with a Moderate Hydrogen Ratio by Attila Kiss, Bálint Szabó, Krisztián Kun, Barna Hanula, Zoltán Weltsch

“…To facilitate a more accurate understanding of how key combustion parameters evolve under different operating conditions, Vibe function was fitted to the ensemble-averaged heat release rate curves computed from 100 consecutive engine cycles at each static full-load operating point. …”
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SSAT: Sensor-Satellite Auto-Correlation Transformer for Enhanced Aerosol Optical Depth Prediction by Maoquan Zhang, Bisser Raytchev, Juan Cuesta, Farouk Lemmouchi, Maithili Karle, Daniel Andrade

“…Although physically constrained methods (e.g. data assimilation) are a common practice for addressing this synergism, these methods may be difficult to implement and are highly computationally demanding. On the other hand, statistical or learning-based techniques can still offer flexible and effective solutions. …”
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