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Deep learning, irrigation enhancement, and agricultural economics for ensuring food security in emerging economies
Burkhanov Aktam U., Popkova Elena G., Galoyan Diana R., Mkrtchyan Tatul M., Sergi Bruno S.
, filling the gap in research on deep learning in agriculture. By enabling intelligent management
Automated detection of adverse drug reactions from social media posts with machine learning
learning classifier with a set of features for resolving this problem. Our feature-rich classifier achieves
AspeRa: Aspect-based rating prediction model
Nikolenko S., Tutubalina E., Malykh V., Shenbin I., Alekseev A.
© Springer Nature Switzerland AG 2019. We propose a novel end-to-end Aspect-based Rating Prediction
Applications of artificial intelligence, machine learning, and deep learning in plant breeding
Eftekhari M., Ma C., Orlov Y.L.
Applications of artificial intelligence, machine learning, and deep learning in plant breeding
Application of deep learning technologies to the stock prices prediction
Leonova A.D.
Deep learning can be a valuable tool in automation and improvement of financial analysis. Neural
Exploring AI-powered personalized learning in universities
Agatova O., Latipova L.
: identifying the opportunities for personalized learning based on learning tools powered by AI according
Transition to Agriculture 4.0 Under the Influence of the Fourth Industrial Revolution (Introduction)
Popkova E.G., Sergi B.S.
Transition to Agriculture 4.0 Under the Influence of the Fourth Industrial Revolution (Introduction)
Enhancing peer assessment with artificial intelligence
Topping K.J., Gehringer E., Khosravi H., Gudipati S., Jadhav K., Susarla S.
-assessment tool, which harnesses student wisdom, insights from the learning sciences and AI to enable time
Automated video surveillance system using neural networks for object recognition
Pribytko, P. D., Shvedova, O. A.
The uniqueness of the developed automated system lies in the use of technologies based on neural
Thyroid Gland Ultrasonography Automation Through Intelligent Analysis
Cherkas, A.
This article proposes an algorithm for automating the process of medical ultrasound diagnostics

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