Autoencoders are a self-supervised learning system where, during training, the output is an
approximation of the input. Typically, autoencoders have three parts: Encoder (which …

The purpose of the paper is to study how changes in neural network architecture and its
hyperparameters affect the results of biometric identification based on keystroke dynamics …

Recurrent neural networks can solve a variety of computational tasks and produce patterns
of activity that capture key properties of brain circuits. However, learning rules designed to …

Biometrics seeks to spot people dependably and strongly supported their personal
characteristics, principally for security and authentication, however also for distinctive and …

The Fibonacci sequence is undoubtedly found in nature such as in the spiral of galaxies and
flower petals. Fibonacci numbers are a sequence in which each number is the sum of the …

Aim: The main aim of the project is to recognize eyes in the face image using the Support
Machine Vector algorithm in comparison with Viola-Jones algorithm. Materials and Methods …

Die deutsche Gesellschaft befindet sich in einem Transformationsprozess, um der
Klimakrise zu begegnen. Vor dem Hintergrund der notwendigen Dekarbonisierung der …

V této bakalářské práci jsou zkoumány osobní údaje podle GDPR (nařízení EU 2016/679
upravující náležitosti ohledně zpracování osobních údajů) z pohledu jejich obecné …