Výsledky vyhledávání - computing algorithms and (((bioinformatika OR bioinformatika) OR bioinformatika) OR information)

Bioinformatics: the machine learning approach Autor Baldi, Pierre, Brunak, Søren

“…A guide to machine learning approaches and their application to the analysis of biological data…”
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Load Balancing Algorithms in Fog Computing Autor Kashani, Mostafa Haghi, Mahdipour, Ebrahim

“…Recently, fog computing has been introduced as a modern distributed paradigm and complement to cloud computing to provide services…”
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Variational quantum algorithms Autor Cerezo, M, Arrasmith, Andrew, Babbush, Ryan, Benjamin, Simon C, Endo, Suguru, Fujii, Keisuke, McClean, Jarrod R, Mitarai, Kosuke, Yuan, Xiao, Cincio, Lukasz, Coles, Patrick J

“… Variational quantum algorithms (VQAs), which use a classical optimizer to train a parameterized quantum circuit, have emerged as a leading strategy to address these constraints…”
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Fast image encryption algorithm based on parallel computing system Autor Wang, Xingyuan, Feng, Le, Zhao, Hongyu

“…To ensure security, image encryption algorithms generally include two stages: permutation and diffusion…”
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A neural algorithm for a fundamental computing problem Autor Dasgupta, Sanjoy, Stevens, Charles F, Navlakha, Saket

“…Similarity search-for example, identifying similar images in a database or similar documents on the web-is a fundamental computing problem faced by large-scale information retrieval systems…”
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Next generation reservoir computing Autor Gauthier, Daniel J., Bollt, Erik, Griffith, Aaron, Barbosa, Wendson A. S.

“…Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data…”
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New Quantum Algorithms for Computing Quantum Entropies and Distances Autor Wang, Qisheng, Guan, Ji, Liu, Junyi, Zhang, Zhicheng, Ying, Mingsheng

“…We propose a series of quantum algorithms for computing a wide range of quantum entropies and distances, including the von Neumann entropy, quantum…”
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A Dynamic Offloading Algorithm for Mobile Computing Autor Dong Huang, Ping Wang, Niyato, D.

“…, on the server in a data center or in a cloud). In this article, to achieve energy saving while satisfying given application execution time requirement, we present a dynamic offloading algorithm, which is based on Lyapunov optimization…”
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Migration Modeling and Learning Algorithms for Containers in Fog Computing Autor Tang, Zhiqing, Zhou, Xiaojie, Zhang, Fuming, Jia, Weijia, Zhao, Wei

“…Fog Computing (FC) is a flexible architecture to support distributed domain-specific applications with cloud-like quality of service…”
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Workflow Scheduling Using Hybrid GA-PSO Algorithm in Cloud Computing Autor Manasrah, Ahmad M., Ba Ali, Hanan

“… The Hybrid GA-PSO algorithm aims to reduce the makespan and the cost and balance the load of the dependent tasks over the heterogonous resources in cloud computing environments…”
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A Review of Machine Learning Algorithms for Cloud Computing Security Autor Butt, Umer Ahmed, Mehmood, Muhammad, Shah, Syed Bilal Hussain, Amin, Rashid, Shaukat, M. Waqas, Raza, Syed Mohsan, Suh, Doug Young, Piran, Md. Jalil

“… Edge computing is an evolving computing paradigm that brings computation and information storage nearer to the end-users to improve response times and spare transmission capacity. Mobile CC (MCC…”
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Quantum Algorithms for Systems of Linear Equations Inspired by Adiabatic Quantum Computing Autor Subaşı, Yiğit, Somma, Rolando D., Orsucci, Davide

“…We present two quantum algorithms based on evolution randomization, a simple variant of adiabatic quantum computing, to prepare a quantum state |x…”
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Bio inspired computing – A review of algorithms and scope of applications Autor Kar, Arpan Kumar

“…•Review of applications of algorithms in bio-inspired computing.•Brief description of algorithms without mathematical notations…”
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A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments Autor Abualigah, Laith, Diabat, Ali

“… We present a novel hybrid antlion optimization algorithm with elite-based differential evolution for solving multi-objective task scheduling problems in cloud computing environments…”
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A Survey of PSO-Based Scheduling Algorithms in Cloud Computing Autor Masdari, Mohammad, Salehi, Farbod, Jalali, Marzie, Bidaki, Moazam

“…Cloud computing provides effective mechanisms for distributing the computing tasks to the virtual resources…”
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Noisy intermediate-scale quantum algorithms Autor Bharti, Kishor, Cervera-Lierta, Alba, Kyaw, Thi Ha, Haug, Tobias, Alperin-Lea, Sumner, Anand, Abhinav, Degroote, Matthias, Heimonen, Hermanni, Kottmann, Jakob S., Menke, Tim, Mok, Wai-Keong, Sim, Sukin, Kwek, Leong-Chuan, Aspuru-Guzik, Alán

“… In the search for achieving quantum advantage with these devices, algorithms have been proposed for applications in various disciplines spanning physics, machine learning, quantum chemistry…”
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Noise-induced barren plateaus in variational quantum algorithms Autor Wang, Samson, Fontana, Enrico, Cerezo, M., Sharma, Kunal, Sone, Akira, Cincio, Lukasz, Coles, Patrick J.

“…Variational Quantum Algorithms (VQAs) may be a path to quantum advantage on Noisy Intermediate-Scale Quantum (NISQ) computers…”
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Photonics for artificial intelligence and neuromorphic computing Autor Shastri, Bhavin J, Tait, Alexander N, Ferreira de Lima T, Pernice Wolfram H P, Bhaskaran Harish, Wright, C D, Prucnal Paul R

“…Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms…”
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Accelerating the XGBoost algorithm using GPU computing Autor Mitchell, Rory, Frank, Eibe

“…We present a CUDA-based implementation of a decision tree construction algorithm within the gradient boosting library XGBoost…”
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Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment Autor Nguyen, Binh Minh, Thi Thanh Binh, Huynh, The Anh, Tran, Bao Son, Do

“…In recent years, constant developments in Internet of Things (IoT) generate large amounts of data, which put pressure on Cloud computing’s infrastructure…”
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