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EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant diseaseConvolutional neural networks (CNNs) have made substantial contributions to the domain of plant
Neural network ChatGPT: a helping hand or a new competitor? advanced neural networks called Chat GPT. It was determined that neural networks are a type of artificial
Developing a seq2seq neural network using visual attention to transform mathematical expressions from images to LaTeX of the seq2seq neural network architecture using Visual Attention mechanism to solve the im2latex problem
Application of neural networks for the diagnosis of depth sucker rod pumps the possibility of neural network use the software was developed based with perceptron and Hamming neural networ
Robust Estimation of VANET Performance-Based Robust Neural Networks Learning and vehicle with a high mobility feature. Presently the artificial neural networks is often used in several
G-Networks: Development of the Theory of Multiplicative Networks systems and networks and biophysical neural networks for solving pattern recognition and other problems.
Forming the knowledge base of truck transmission control module with using artificial neural networksThe paper examines the possibility of application of the rule base and neural network, as elements
Content adaptation neural network method cause-specific the state of users on the use of a neural network method for recognizing the human autonomic nervous system degree of activity
Possibilities of Application of Adaptive Knowledge Testing Using Artificial Neural Networks in Training Economics Students the application of adaptive knowledge testing through artificial neural networks on the improvement of the level
Visual data processing and action control using binary neural networkA new model of the brain-like neural network for visual data processing and action control
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