Titlebook: Digital Ecosystems: Interconnecting Advanced Networks with AI Applications; Andriy Luntovskyy,Mikhailo Klymash,Alexander Schil Conference

Optometrist

Artificial Intelligence and MicroRNA: Role in Cancer Evolution,hey strongly determine gene expression, that is, protein formation, which means that if this mechanism does not work properly, the development of malignant proteins is inevitable. Our work is dedicated to the application of deep neural network learning techniques to build predictive models for the d

municipality

callous

The Use of Artificial Intelligence Models in the Automated Knowledge Assessment System,en developed and tested in this research paper. An algorithm of fuzzy semantic comparison of textual information—answers to questions submitted by a student in natural language, with options of correct answers, which formalizes description of linguistic structure of the study content and answers has

CON

翅膀拍動(dòng)

Method for Detecting Phishing Sites,chine learning is currently the most effective mechanism for detecting phishing sites. Therefore, the presentation of a method in which detection is realized on the basis of fuzzy clustering, which ensures the automated operation of the algorithm without the intervention of an observer, is a relevan

RENAL

Using of Computer Vision with Stroboscopic Imaging in 5G,shooting of the initial image. For research using computer graphics methods, a set of data has been developed, which is the basis for the further process of machine learning. For this, an array of binary images, which have the axis of symmetry of the second, third, and fourth orders, is generated us

匍匐前進(jìn)

Fuzzy Logic Models for Technological and Communication Electronic Control Systems,red separate problems in artificial intelligence tasks. All presented models are based on the formation of membership functions, the formulation of fuzzy rules, and the provision of fuzzification and defuzzification of controlled parameters using the corresponding mathematical operations of fuzzy lo

Hippocampus

Membership Root-Polynomial Functions,ces are considered, and relevant examples of using such dependences as membership functions in fuzzy logic tasks for real technological and communication electronic control systems are given. The analytical relationships for calculating the coefficients of fifth-order and six-order root-polynomial f

榨取

appall

Conference proceedings 2024addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges..