PROBABILISTIC ASSESSMENT OF DEGREE OF BENDING IN TUBULAR X-JOINTS OF OFFSHORE STRUCTURES SUBJECTED TO BENDING LOADS

Probabilistic Assessment of Degree of Bending in Tubular X-Joints of Offshore Structures Subjected to Bending Loads

Fatigue life of tubular joints in offshore structures is significantly influenced by the degree Wooden Kit of bending (DoB).The DoB exhibits considerable scatter calling for greater emphasis in accurate determination of its governing probability distribution which is a key input for the fatigue reliability analysis of a tubular joint.Although the t

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A Novel Security Scheme Supported by Certificateless Digital Signature and Blockchain in Named Data Networking

Named Data Networking (NDN) is a promising network architecture that differs from the traditional TCP/IP network, as it focuses on data rather than The Easy Rider Short the host.A new secure model is required to provide the data-oriented trust instead of the host-oriented trust.This paper proposes a new secure solution in the NDNs named Secure Mech

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Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach

BackgroundCoronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease.However, its postoperative complications can have a significant effect on long-term patient outcomes.A retrospective study was conducted to identify before and after surgery that contribute to postoperative stroke in patie

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