In the paper, we consider the urgent need to create highly efficient hardware accelerators for machine learning algorithms, including convolutional and deep neural networks (CNN and …
The biologically-motivated self-learning equivalence-convolutional recurrent-multilayer neural structures (BLM_SL_EC_RMNS) for fragments images clustering and recognition will …
The paper considers neural net models and training and recognizing algorithms with base neurobiologic operations: p-step autoequivalence and non-equivalenc The Modified …
Today real-time studying and tracking of movement dynamics of various biological objects is important and widely researched. Features of objects, conditions of their visualization and …
In this work, algorithms for detecting, localizing and tracking moving objects in a stream of video frames are proposed and modeled. The algorithms are based on nonlinear …
In this work, algorithms for detection, localization and tracking of moving objects in a stream of video frames are proposed and modeled. The proposed algorithms and system are based …
The paper considers results of design and simulation of continuously logical cells (CLC) based on current mirrors (CM) with functions of preliminary analogue processing for image …
Розроблені та моделюються пристрої вибірки-запамятовування аналогових сигналів у вигляді струму, які реалізуються на віддзеркалювачах струму на КМОП транзисторах …
Робота присвячена розвязанню актуальної задачі оцінювання стану кульшового суглоба, яка є однією з найважливіших задач під час діагнос тики та лікуванні …