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Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask GenerationThe paper deals with the inverse problem of computational lithography. We turn to deep neural

Sustainable Development of Agro-industrial Complex and Food Security Through Digital Agriculture: Contribution of Robots, Big Data, and AI-industrial complex (AIC) and food security based on digital agriculture. Using regression analysis, the author models

Deep learning based fuzzy-MPC controller for satellite combined energy and attitude control system limited computational power. Therefore, in this research work, a novel Deep-Learning-based fuzzy

Технологии искусственного интеллекта, машинного обучения и обработки данных в сельском хозяйствеNowadays, AI, machine learning and data science technologies are taking over even the most

Convolutional neural network based pest and disease recognitionIn recent years, convolutional neural network, as one of the most representative algorithms of deep

Retinal Image Analysis for Diabetic Retinopathy Grading: Preliminarily Results), especially in deep learning, improve pathological image analysis in routine clinical practice. We have

ON TRANSFER LEARNING METHODS IN BIOMEDICAL IMAGES CLASSIFICATION TASKS [О МЕТОДАХ ПЕРЕНОСА ГЛУБОКОГО ОБУЧЕНИЯ В ЗАДАЧАХ КЛАССИФИКАЦИИ БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ]Computer studies of the effectiveness of deep transfer learning methods for solving the problem

Agriculture Management Based on LoRa Edge Computing System agricultural land is located in remote places, there is a need for new technologies. These technologies must

An SDN-Orchestrated Artificial Intelligence-Empowered Framework to Combat Intrusions in the Next Generation Cyber-Physical Systems against such crucial anomalies. The remarkable acclaim of deep learning (DL) in collaborative integration

REMOTE SENSING OF THE ECOLOGICAL CONDITION OF AGRICULTURAL LAND IN THE TULA REGIONThepaperestimates the size of agricultural and fallow lands of the Tula region, as well

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