INVERSE FILTERING METHOD OF BARE THERMOCOUPLE FOR TRANSIENT HIGH-TEMPERATURE TEST WITH IMPROVED DEEP BELIEF NETWORK

Inverse Filtering Method of Bare Thermocouple for Transient High-Temperature Test With Improved Deep Belief Network

In this paper, we focus on the inverse filtering method for restoring transient heat conduction processes.First, we address the defects of contact temperature sensor used in transient high temperature test, further we expand the distortion of transient calibration result caused by the lack of dynamic characteristics of bare thermocouple, then the i

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Laos in the Vietnam War: The Politics of Escalation, 1960-1973

The land locked and underdeveloped country of Laos presents a scenario in early 1960s that almost brought the world on the brink of a major war.Compared to the contemporaneous Berlin Wall Crisis and Cuban Missile crisis, the events in Laos had been pushed orly elysian fields back by scholars without it receiving much attention.The Lao imbroglio was

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Decision Rules Derived from Optimal Decision Trees with Hypotheses

Conventional decision trees use queries each of which is based on one belle de grasse attribute.In this study, we also examine decision trees that handle additional queries based on hypotheses.This kind of query is similar to the equivalence queries considered in exact learning.Earlier, we designed dynamic programming algorithms for the computation

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GAN-ViT-CMFD: A novel framework integrating generative adversarial networks and vision transformers for enhanced copy-move forgery detection and classification with spectral clustering

Copy-move forgery detection (CMFD) is a critical task in digital forensics to ensure the authenticity of visual content, as the prevalence of advanced editing tools has made it increasingly easy to tamper with images.Such forgeries can have severe implications in fields like journalism, legal evidence, and cybersecurity.The motivation for adopting

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