Titlebook: Information and Software Technologies; 28th International C Audrius Lopata,Daina Gudonienė,Rita Butkienė Conference proceedings 2022 The Ed

狂乱

Infect

hermetic

Deep Learning-Based Malware Detection Using PE Headersious code in software environments. It becomes difficult to identify viruses in the infected data sent in this way during analysis and detection phase of malware. For this reason, a significant amount of consideration has been devoted to research and development of methodologies and techniques that

Leaven

Survey of Cloud Traffic Anomaly Detection Algorithmsd resources in a negative way. Anomaly detection tools are essential for identifying and forecasting these network anomalies. In recent years machine learning methods are gaining popularity in implementations of anomaly detection tools. Given the variety of network anomaly types and the availability

腼腆

万灵丹

Decomposition of Fuzzy Homogeneous Classes of Objects a task, a knowledge-based system should be able to decompose complex or composite knowledge structures and extract new knowledge items, which were hidden or non-obvious before. Existed approaches to decomposition within object-oriented paradigm provide different variants of partitioning or fragment

寄生虫

Deep Learning in Audio Classificationt for us when we don’t want to get out of bed before sleep. In all of these audio-based applications and research, it is AI and ML that makes the computer or the smart phone understand us via our voice [.]. As an important part of artificial intelligence (AI), especially machine learning (ML), which

洞察力

Research of Cryptocurrencies Function of Instant Payments in the Tourism Sector: Risks, Options, andhas been done on various cryptocurrencies and technologies related to them, their transaction processing speed, alternatives on how to optimize it, and what impact it has on cryptocurrency payments adoption to the tourism sector. It was noticed that various places of services in the tourism sector c

慷慨不好

Random Forest Classifier for Correcting Point Cloud Segmentation Based on Metrics of Recursive 2-Mea networks are used, however, they require lots of annotated data to learn from. Annotating data for segmentation is a very tedious process since part of the image has to be marked as foreground. This involves much higher amount of manual work by a human than classification where only a correct label

热烈的欢迎