Effective steel surface defect classification with low computational cost is essential for online quality inspection.The challenge of this task is large intra-class differences and unclear inter-class distances shown in various surface defects.This paper proposes a novel feature extraction method based on Legendre multi-wavelet transform and Auto-E
Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm
Magnetorheological (MR) fluid is among the smart materials that Hair Polisher Treatment can change its default properties with the influence of a magnetic field.Typical application of an MR fluid based device involves an adjustable damper which is commercially known as an MR fluid damper.It is used in vibration control as an isolator in vehicles an
Virus-Induced Chaperone-Enriched (VICE) domains function as nuclear protein quality control centers during HSV-1 infection.
Virus-Induced Chaperone-Enriched (VICE) domains form adjacent to nuclear viral replication compartments (RC) during the early stages of HSV-1 infection.Between 2 and 3 hours post infection at a MOI of 10, host protein quality control machinery such as molecular chaperones (e.g.Hsc70), the 20S proteasome and ubiquitin are reorganized from a diffuse
Collaboration of Large and Small Models for Event Type Discovery in Completely Open Domains
Event type discovery in open domains aims to automate the induction of event types from completely unlabeled text data.Conventionally, small models utilize clustering techniques to address this task.Nonetheless, the fully unsupervised nature of these methods results in suboptimal performance by small models in this context.Recently, large language