Deep gradient reinforcement learning for music improvisation in cloud computing framework by Fadwa Alrowais, Munya A. Arasi, Saud S. Alotaibi, Mohammed Alonazi, Radwa Marzouk, Ahmed S. Salama

“…PeerJ Computer Science…”
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SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT by Donatas Sandonavičius, Aušra Gadeikytė, Giedrius Paulikas, Mindaugas Vaitkūnas, Gytis Vilutis, Gintaras Butkus

“…The Grid computing environment is very important for solving scientific problems. …”
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Optimization of the Marketing Management System Based on Cloud Computing and Big Data by Lin Zhang

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LDPC-cat codes for low-overhead quantum computing in 2D by Diego Ruiz, Jérémie Guillaud, Anthony Leverrier, Mazyar Mirrahimi, Christophe Vuillot

“…Abstract The main obstacle to large scale quantum computing are the errors present in every physical qubit realization. …”
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Retracted: Computing Edge Version of Resolvability and Double Resolvability of a Graph by Journal of Chemistry

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Affective Computing for Learning in Education: A Systematic Review and Bibliometric Analysis by Rajamanickam Yuvaraj, Rakshit Mittal, A. Amalin Prince, Jun Song Huang

Subjects: “…affective computing…”
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Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones by Sofiane Zaidi, Mohamed Amine Attalah, Lazhar Khamer, Carlos T. Calafate

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Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers by Mohammed Achite, Okan Mert Katipoğlu, Veysi Kartal, Metin Sarıgöl, Muhammad Jehanzaib, Enes Gül

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Error in the Sampling Area of an Optical Disdrometer: Consequences in Computing Rain Variables by R. Fraile, A. Castro, M. Fernández-Raga, C. Palencia, A. I. Calvo

“…The aim of this study is to improve the estimation of the characteristic uncertainties of optic disdrometers in an attempt to calculate the efficient sampling area according to the size of the drop and to study how this influences the computation of other parameters, taking into account that the real sampling area is always smaller than the nominal area. …”
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Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing by Guang-Shun Li, Ying Zhang, Mao-Li Wang, Jun-Hua Wu, Qing-Yan Lin, Xiao-Fei Sheng

“…Mobile edge computing (MEC) is a promising solution to address this problem. …”
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Computing Coherence Vectors and Correlation Matrices with Application to Quantum Discord Quantification by Jonas Maziero

“…Notwithstanding, as we demonstrate in this paper, some algebraic manipulations before programming can reduce considerably their computational complexity. Besides, we provide Fortran code to generate generalized Gell-Mann matrices and to compute the optimized and unoptimized versions of associated Bloch’s vectors and correlation matrix in the case of bipartite quantum systems. …”
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Parallel Computing for Efficient and Intelligent Industrial Internet of Health Things: An Overview by Xin Yang, Shah Nazir, Habib Ullah Khan, Muhammad Shafiq, Neelam Mukhtar

“…The role of parallel computing for efficient and Intelligent Industrial Internet of Health Things is obvious to analyze and process different healthcare situations. …”
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On the Convergence of a Smooth Penalty Algorithm without Computing Global Solutions by Bingzhuang Liu, Changyu Wang, Wenling Zhao

“…At each iteration in the algorithm we only need to find a stationary point of the smooth penalty function, so the difficulty of computing the global solution can be avoided. Under a generalized Mangasarian-Fromovitz constraint qualification condition (GMFCQ) that is weaker and more comprehensive than the traditional MFCQ, we prove that the sequence generated by this algorithm will enter the feasible solution set of the primal problem after finite times of iteration, and if the sequence of iteration points has an accumulation point, then it must be a Karush-Kuhn-Tucker (KKT) point. …”
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Evaluation of Hybrid Soft Computing Model’s Performance in Estimating Wave Height by Tzu-Chia Chen, Zryan Najat Rashid, Biju Theruvil Sayed, Arif Sari, Ahmed Kateb Jumaah Al-Nussairi, Majid Samiee-Zenoozian, Mehrdad Shokatian-Beiragh

“…This study evaluates the wave height at Sri-Lanka Hambantota Port using soft computing models such as Artificial Neural Networks (ANNs) and the M5 model tree (M5MT). …”
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Computing the Fixed Points of Strictly Pseudocontractive Mappings by the Implicit and Explicit Iterations by Yeong-Cheng Liou

“…In this paper, we devote to study computing the fixed points of strictly pseudocontractive mappings by the iterations. …”
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Computing Assortative Mixing by Degree with the s-Metric in Networks Using Linear Programming by Lourens J. Waldorp, Verena D. Schmittmann

“…The s-metric is normalized with respect to the class of networks without self-loops, multiple edges, and multiple components, while degree correlation is always normalized with respect to unrestricted networks, where self-loops, multiple edges, and multiple components are allowed. The challenge in computing the normalized s-metric is in obtaining the minimum and maximum value within a specific class of networks. …”
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Pseudo-Random Number Generators for Stochastic Computing (SC): Design and Analysis by Pilin Junsangsri, Fabrizio Lombardi

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Quantum Vulnerability Analysis to Guide Robust Quantum Computing System Design by Fang Qi, Kaitlin N. Smith, Travis LeCompte, Nian-feng Tzeng, Xu Yuan, Frederic T. Chong, Lu Peng

Subjects: “…Quantum computing…”
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A Novel Cost Based Model for Energy Consumption in Cloud Computing by A. Horri, Gh. Dastghaibyfard

“…To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. …”
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Estimated Interval-Based Checkpointing (EIC) on Spot Instances in Cloud Computing by Daeyong Jung, JongBeom Lim, Heonchang Yu, Taeweon Suh

“…In cloud computing, users can rent computing resources from service providers according to their demand. …”
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