Avant Memmo, mes notes étaient éparpillées dans des PDF. Maintenant, un espace de travail rassemble tout — je vois exactement ce qu'il me reste à étudier.
In modern conditions of the development of intelligent systems to solve the problems of smart cities, more and more attention is paid to the construction of distributed intelligent systems, which, based on a network of sensors and specialized calculators, help residents and visitors of the city in real time to solve a whole range of complex problems that arise in an urban environment. In a smart city, much attention is paid to the processing of biometric information that comes from biometric sensors distributed throughout the city. Such biometric systems are multimodal and allow you to control the general condition of a person, and also help a person to move around the city and predict events within the city.
This book describes methods for processing biometric information in a smart city environment. The theoretical foundations of building a biometric multisensor network, which allows you to create a unified urban biometric community, are considered. The theoretical foundations of the parallel shift technology and the Radon transformation on cellular automata with a hexagonal covering are presented. On the basis of these technologies, methods of biometric identification by gait parameters and the geometric shape of the auricle are described, which are effectively used in a smart city. A method for tracking dynamic changes in the state of a smart city in real time is considered. Models of behavior of colonies of living organisms, their formation, movement and interaction are described on the basis of the technology of cellular automata with active cells. Models of behavior of active cells in meeting with unwanted cells and models of combining and destruction of active cell colonies are also described.
This book is intended for undergraduate, graduate students and specialists working and conducting research in the field of biometric information processing, as well as in the development and construction of distributed intelligent systems.
Avant Memmo, mes notes étaient éparpillées dans des PDF. Maintenant, un espace de travail rassemble tout — je vois exactement ce qu'il me reste à étudier.
Les résumés de Memmo sont en or avant les examens. Pas besoin de relire 800 pages deux semaines avant — juste l'essentiel.
Le chat IA m'a sauvé la veille d'un examen plus d'une fois. Je pose des questions jusqu'à ce que je comprenne — pas besoin d'attendre la réponse d'un groupe d'étude.
Les quiz ciblent exactement ce que je dois savoir. Memmo suit ce sur quoi je bloque — comme ça, je ne m'entraîne que sur ce qui compte.
Les flashcards avec répétition espacée, c'est magique. Memmo sait quand je suis sur le point d'oublier quelque chose et me le rappelle.
Les podcasts IA, c'est ma fonction préférée. J'écoute en allant à l'école et j'ai un récap sans être devant un ordinateur.
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