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Titlebook: Hot Stamping of Ultra High-Strength Steels; From a Technological Eren Billur Book 2019 Springer Nature Switzerland AG 2019 Automotive indus

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楼主: Stenosis
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Jan Jonasson,Eren Billur,Aitor Ormaetxea the industry. Although many of the state-of-the-art (SOTA) OD models perform well on medium and large sized objects, they seem to under perform on small objects. In most of the industrial use cases, it is difficult to collect and annotate data for small objects, as it is time-consuming and prone to
发表于 2025-3-27 03:23:52 | 显示全部楼层
Eren Billur,Takehide Senuma of dynamic manufacturing contexts due to more constellations of cyber-physical production modules, skills, and products. However, even existing approaches aiming to enhance efficient and resilient production, fault detection applications, usually requiring big amounts of data or knowledge, remains
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Eren Billur,Felix Quasniczkaors must be diagnosed quickly to avoid the propagation of faults and the associated safety risks and production downtime. The problems are incomplete descriptions of the systems and disturbed sensor signals, which makes it difficult to use model-based methods directly. In this article, a method is p
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Eren Billur,Vladimir Boškovićo get potable water of the required quality, water from a water body is treated in a water purification system. After purification, the quality indicators of the purified water are measured. When the received parameters go beyond acceptable limits (emergency situation) the water supply system starts
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Harald Porzner,Eren Billurcs procedures, and access extensive databases and data warehouses to facilitate with a decision process or with organizational issues. DSSs have proven to be particularly useful at the strategic level, while they usually require only limited computer-proficiency skills from their users. Although DSS
发表于 2025-3-28 00:19:39 | 显示全部楼层
Eren Billur,Rick Teague,Barış Çetin cases, where the patients’ life is in danger, different medical professionals linked to critical situations must be permitted access to patients’ Electronic Health Records (EHRs). The research objective of this work is to create machine learning methods dependent on patients’ medical information an
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Blank Materials,they could be changed during the process. To engineer the final part, it is essential to understand the incoming blank material. This chapter discusses the most common 22MnB5 steel, and other steel grades already in use or proposed to be used in hot stamping processes. Incoming blank could be uncoat
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