This paper addresses the development of conflict graph-based algorithms and data structures into COIN-OR Branch-and-Cut (CBC) solver, including: (i) an efficient infrastructure for construction manipulation graphs; (ii) a preprocessing routine based on clique strengthening scheme that can both reduce number constraints produce stronger formulations; (iii) cut separator capable obtaining dual bo...

Intrusion detection technology for network attacks is developing rapidly with the development of artificial intelligence technology. Recently, machine learning-based methods that can detect new types have been developed. To improve classification performance rare classes in intrusion dataset, we study efficient data preprocessing method based on learning. The UNSW-NB15, a well-known used experi...

Abstract The paper presents a cascade of preprocessing procedures aiming at enhancing the quality images generated by gas-chromatography ion mobility spectrometers (GC-IMS). methods successfully eliminate Reactant Ion Peak (RIP) lines, while additionally filtering out noisy components. resulting enable better localization and matching peaks associated with presence distinct analytes in samples ...