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Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning networks, wherein each node—representing a distinct state—is governed by sensor-triggered conditions
Разработка нейросетевого метода в задаче классификации и распознавании изображения is considered. The description of the FastER-RCNN method based on a two-stage neural network is given
Leveraging deep neural networks and semantic similarity measures for medical concept normalisation in user reviews for classification based on convolutional neural networks. A qualitative examination of the mentions in user reviews
Leveraging deep neural networks and semantic similarity measures for medical concept normalisation in user reviews architectures and compared them with the effective baseline for classification based on convolutional neural
DEVELOPMENT OF RECOMMENDATIONS ON ADAPTATION OF THE BEST INTERNATIONAL PRACTICES IN APPLICATION OF ERS DATAFOR SOLVING PROBLEMS IN RUSSIAN AGRICULTURE of studying the operation of three different architectures of convolutional neural networks for identification
Сегментация нейронов на изображениях, полученных с микроскопа challenging task, which is the subject of this paper. The paper considers neural network algorithms
Image style transfer with neural network with convolutional neural networks and
extra transformations.
Подбор модели нейронной сети для раннего обнаружения меланомы кожи of convolutional neural networks, pre-trained neural networks with transfer learning, and the “soft attention
Application of neural networks in object recognition tasks for ADAS systems that convolutional neural networks show the best results in recognition problems.
Detection of flying objects in images using the YOLOv4-CSP convolutional neural network modelThe effectiveness of the YOLOv4-CSP convolutional neural network model in solving the problem
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