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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Juveniles as victims of criminal acts committed under the misuse of computer network by Spasojević Đorđe, Miladinović-Bogavac Živanka

Subjects: “…computer crime…”
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Retracted: Computation of Vertex Degree-Based Molecular Descriptors of Hydrocarbon Structure by Journal of Chemistry

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Electronic student worksheet based on computational thinking on arithmetic sequences and series by Tiara Rodiana Azma, Hapizah Hapizah, Darmawijoyo Darmawijoyo

Subjects: “…computational thinking…”
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Industrial Application Incubation Platform Based on PaaS Model of Cloud Computing by Gang Lu, Boqing Liang, Xinzhang Yang, Zhenwei He

“…The combination of cloud computing and industrial applications is the key point of “internet +”，the mode of platform as a service can effectively reduce the costs of development and construction for industrial application，so that an effective innovation mechanism could be set up.The status and problems of industrial application incubation platform were introduced.By designing the service function and business model of the platform，the architecture based on PaaS technology was put forward.The key technologies involved such as container and mobile App development were analyzed.At last the development of the platform was prospected.…”
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Markov processes: branching properties and asymptotic behavior applications in computer science by Maria-Daniela MOLDOVEANU, Deniss Bogdan ONOFREI-RIZA

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Machine Learning for Ischemic Heart Disease Diagnosis Aided by Evolutionary Computing by Mohammad Alsaffar, Abdullah Alshammari, Gharbi Alshammari, Saud Aljaloud, Tariq S. Almurayziq, Fadam Muteb Abdoon, Solomon Abebaw

“…In light of these findings, a hybrid diagnostic tool has been developed that combines several computational intelligence (machine learning) techniques capable of analyzing clinical histories and images of electrocardiogram signals and indicating whether or not the patient has ischemic heart disease with up to 97.01% accuracy. …”
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Joint scheduling algorithm for correlative tasks in multi-access edge computing by Weifeng LU, Ning LI, Jia XU, Lijie XU, Jian XU

Subjects: “…multi-access edge computing…”
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Heterogeneous computing network resource management based on virtual network embedding by YU Jinghang, ZHAO Yichen, WANG Ling, CHEN Xin, ZOU Haodong

Subjects: “…heterogeneous computing network…”
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Evolution strategy of 5G network based on cloud-native computing by Jian SU

“…Cloud-native computing which is from IT domain covers a range of paths and methods that apply to different industries and also meet the needs of business diversity.Based on the 5G service-based architecture,advantages and challenges of introducing cloud-native computing into telecommunication networks were analyzed,cloud-native computing design,deployment and operation methods for telecommunication networks were introduced,the common principles of cloud-native computing that can be adopted by communications service providers were discussed,in order to promote the transformation of traditional telecommunication networks into 5G smart networks.…”
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