Research on Network Intrusion Detection Based on Incremental Extreme Learning Machine and Adaptive Principal Component Analysis

Recently, network attacks launched by malicious attackers have seriously affected modern life and enterprise production, and these network attack samples have the characteristic of type imbalance, which undoubtedly increases the difficulty of intrusion detection.In response to this problem, it would naturally be very meaningful to design an intrusi

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3D-Laparoscopic transperitoneal pyelolithotomy in a rare case of pelvic cake kidney: case report and review of literature

Abstract Background Bilateral ectopic pelvic kidneys are rarely observed, and cake form of fusion is a relatively distinct anomaly.With the presence of aberrant vasculature and risk of injuring surrounding viscera, conventional treatment of symptomatic calculi with percutaneous and retrograde approaches, become challenging for the urologist.3D Lapa

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Advances and Challenges for Model and Data Engineering

Following the stimulating discussions in the workshops held during the 9th International Conference on Model and Data Engineering (MEDI 2019), we proposed to edit a special issue compiling the fruitful research resulting from those discussions.This special issue on current research in model and data engineering of the Journal of Universal Computer

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