Post-processing methods for delay embedding and feature scaling of reservoir computers by Jonnel Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue, Kathy Lüdge

“…Abstract Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. …”
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Efficient Online Dynamic Allocation Algoritbm of Virtual Macbine in Cloud Computing by Limin Zhang

Subjects: “…cloud computing…”
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CLOUD COMPUTING AND FINANCIAL PERFORMANCE OF LISTED DEPOSIT MONEY BANKS IN NIGERIA by Hakeem Olayinka Hakeem Olayinka, Adetumilara Adepeju Dedire-Ampitan

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Correlation of Image Quality Metrics with Expert Perception for Industrial Computed Tomography by Lukas Behammer, Patrick Weinberger, Lukas Nepelius, Bernhard Fröhler, Miroslav Yosifov, Johann Kastner, Sascha Senck

“…This study contributes to a deeper understanding of the relationship between objective image quality metrics and subjective human perception in the context of industrial computed tomography. …”
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Computation of the topological entropy in chaotic biophysical bursting models for excitable cells by Jorge Duarte, Luís Silva, J. Sousa Ramos

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Identity-based cross-domain authentication scheme in pervasive computing environments by LUO Chang-yuan, HUO Shi-wei, XING Hong-zhi

Subjects: “…pervasive computing…”
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Unveiling the startup characteristics of pump as turbine using computational and experimental techniques by Dessie Tarekegn Bantelay, Girma Gebresenbet, Bimrew Tamrat Admasu, Muluken Temesgen Tigabu, Muluken Zegey Getie

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Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning by Mattia Piccinini, Simon Gottschalk, Matthias Gerdts, Francesco Biral

“…In autonomous racing, motion primitives have been used as computationally faster alternatives to model predictive control, for online obstacle avoidance. …”
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Empowering drones in vehicular network through fog computing and blockchain technology. by Shivani Wadhwa, Divya Gupta, Shalli Rani, Maha Driss, Wadii Boulila

“…Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. …”
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Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters by Jose Miguel Riquelme-Dominguez, Martha N. Acosta, Francisco Gonzalez-Longatt, Manuel A. Andrade, Ernesto Vazquez, José Luis Rueda

“…This paper introduces a novel method to compute an optimally parametrized conventional UFLS scheme in specific given operating conditions by formulating it as a constrained problem and using the Improved Harmony Search (IHS) algorithm to solve it. …”
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Computational Modelling of Thermal Stability in a Reactive Slab with Reactant Consumption by O. D. Makinde

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Comparative analysis of computing platforms for onboard micromodule of provisional image recognition by V. A. Kovalev, D. A. Paulenka, E. V. Snezhko, V. A. Liauchuk, A. A. Kalinovski

“…This paper is devoted to the analysis of basic hardware and software of recent cheap and commercially available computing microplatforms for selecting an appropriate solution for development of an onboard micromodule for preliminary recognition and selection of images of underlying surface of given types. …”
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Secure outsource computing scheme of modular exponentiation based on single server by Weijie DING

Subjects: “…cloud computing…”
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Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing by Wang Feng, Sihai Tang, Shengze Wang, Ying He, Donger Chen, Qing Yang, Song Fu

Subjects: “…vehicular edge computing…”
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Relation Between Quantum Advantage in Supervised Learning and Quantum Computational Advantage by Jordi Perez-Guijarro, Alba Pages-Zamora, Javier R. Fonollosa

“…The widespread use of machine learning has raised the question of quantum supremacy for supervised learning as compared to quantum computational advantage. In fact, a recent work shows that computational and learning advantages are, in general, not equivalent, i.e., the additional information provided by a training set can reduce the hardness of some problems. …”
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Computational Modelling of Blood Flow Development and Its Characteristics in Magnetic Environment by Gopal Chandra Shit

“…With an aim to validate our numerical approach, the computational results are compared with those of the analytical solution available in the developed region far from the singularity. …”
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Research on High Effi ciency Computing Technology Based on COTS Products by Yue ZHANG, Yubing ZHANG, Tianqi MA, Bin LI, Yenan SHI

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CO2-philicity of crude oil constituents: A computational study by Lionel T. Fogang, Syed M.S. Hussain, Theis I. Solling

“…This highlights any subtle molecular-level interaction will not play a role in the context of oil reservoirs because they are usually warmer than 100 °C. Leaving computational uncertainties aside, the repulsive interactions align with the experimental observation of minimal CO2 solubility at room temperatures. …”
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Dynamic trust evaluation model based on evaluation credibility in cloud computing by Lin ZHANG, Kai-li RAO, Ru-chuan WANG

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Experimental and Computational Fluid Dynamics: decades of turbulent EFD/CFD complementarity by Bonnet, Jean Paul

Subjects: “…Computational fluid dynamics…”
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