Titlebook: Software Engineering Methods in Systems and Network Systems; Proceedings of 7th C Radek Silhavy,Petr Silhavy Conference proceedings 2024 Th

STANT

Palatial

goodwill

A Novel Approach of Intrusion Detection System for IoT Against Modern Attacks Using Deep Learning, make it difficult to detect intrusions accurately. To address this challenge, we propose a novel deep learning model called the deep regularizer learning model (DRLM). DRLM uses sample similarity across categories to enhance its ability to learn from imbalanced data. To enhance the representation a

Factual

CREEK

,Pipeline Leakage Detection via Extreme Seeking Entropy, Entropy algorithm to estimate the amount of novelty in data. The suitability of the proposed approach is presented in three case studies where the leakage was simulated in the degassing process model by increasing the discharge flow.

树木中

,Vocal Folds Image Segmentation Based on YOLO Network,e precision and mask mean average precision. The outcomes indicate the potential applicability of YOLOv8 segmentation models in objectively quantifying vocal fold openness, offering a potential avenue for integration into clinical practice.