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    Browsing Information Intelligence by Publisher "Elsevier B.V."

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        Automated layer-wise solution for ensemble deep randomized feed-forward neural network 

        Hu, Minghui; Gao, Ruobin; Suganthan, Ponnuthurai N.; Tanveer, M. ( Elsevier B.V. , 2022 , Article)
        The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ...
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        Enabling broadcast communications in presence of jamming via probabilistic pairing 

        Pietro, Roberto Di; Oligeri, Gabriele ( Elsevier B.V. , 2017 , Article)
        This paper presents a thorough analysis of Freedom of Speech (FoS): a lightweight, fully distributed, and probabilistic protocol that assures the delivery of a message to be broadcast notwithstanding the presence of a ...
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        Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future 

        Osaba, Eneko; Del Ser, Javier; Suganthan, Ponnuthurai N. ( Elsevier B.V. , 2022 , Article)
        Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Transfer Optimization are formulated on solid ...
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        Systematic identification of threats in the cloud: A Survey 

        Hong J.B.; Nhlabatsi A.; Kim D.S.; Hussein A.; Fetais N.; Khan K.M.... more authors ... less authors ( Elsevier B.V. , 2019 , Article)
        When a vulnerability is discovered in a system, some key questions often asked by the security analyst are what threat(s) does it pose, what attacks may exploit it, and which parts of the system it affects. Answers to those ...

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