the digital computer uses a binary number system with two digits, 1 and 0. People call a binary digit a bit. It uses electronic technology to generate, process, and store different data types. The classification of digital computers is based on their types and sizes, which can ...
In general, the Bayesian data reduction algorithm outperforms the linear classifier by obtaining a lower probability of error, as averaged over all thirty data sets 展开 关键词: Bayes methods data reduction error statistics feature extraction learning (artificial intelligence pattern classification vector ...
There has been a dearth of knowledge about these attacks which has rendered many individuals/agencies/organizations vulnerable to these attacks. Hence there is a need to have comprehensive understanding of cyber attacks and its classification. The purpose of this survey is to do a comprehensive ...
And that's not all, various worms, trojans and viruses can be classified into various categories. Apart from the above classification, there is still malware that is categorized as 'unwanted program'. So you can be sure that computers, internet, data and information in them will always get ...
Computer-aided rice leaf disease detection and classification systems face many challenges. These challenges can be classified into three main categories. First, there is insufficient size and variety of datasets because collecting images for rice leaves is very expensive and demands agricultural expertise...
Salah I, Jouini K, Korbaa O (2023) On the use of text augmentation for stance and fake news detection. J Inf Telecommun 7:1–17 MATH Google Scholar Dar SS et al (2025) A social context-aware graph-based multimodal attentive learning framework for disaster content classification during eme...
The thermal shock problem of a half-space is frequently used as a test example for checking computer programs which are suitable for solving thermoelastic ... M Balla - 《Acta Mechanica》 被引量: 25发表: 1991年 A Classification of Constructivist Instructional Design Models Based on Learning and...
A Large Language Model (LLM) is a language model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification. LLMs can be used for text generation, a form of generative AI, by taking an input text and repeatedly ...
METHOD FOR CLASSIFYING, IDENTIFYING AND FINDING AUTOMATICALLY, BY MEANS OF INFORMATIC DEVICES AND SYSTEMS, OF SURGICAL INSTRUMENTS OF VARIOUS KIND, AND FOR PROCESSING AND MANAGING DATA RELATING TO THE AUTOMATIC CLASSIFICATION, IDENTIFICA... A method for classifying, identifying and finding automatically,...
Bulletin of International Rough Set Society 1/1 (1996) pp. 5–16. Google Scholar Nguyen, S.H., Skowron, A., Synak, P.: Discovery of data patterns with applications to decomposition and classification problems. In: L. Polkowski, A. Skowron (eds.), Rough Sets in Knowledge Discovery 2...