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Preprocessing of SAR Image for Building Detection
Busko, E., Nedzved, A., Shiping Ye
Preprocessing of SAR Image for Building Detection
Building detection on aerial images using U-NET neural networks
Ivanovsky L., Khryashchev V., Pavlov V., Ostrovskaya A.
This article presents research results of two convolutional neural networks for building detection
Urban areas analysis using satellite image segmentation and deep neural network
Khryaschev V., Ivanovsky L.
-performance supercomputer NVIDIA DGX-1 can be used to efficiently learn and detect needed objects. The problem of building
Application of satellite image segmentation for urban planning optimization
Khryashchev V., Ivanovsky L., Ostrovskaya A., Semenov A.
This article presents research results of a convolution neural network for building detection
Principles of Building Intelligent Robotic Systems
Kroshchanka, A., Kovalev, M.
The paper proposes a concept for the building of collaborative robotic systems using OSTIS
Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
Zhuk, A., Ablameyko, S., Абламейко, С. В.
The paper proposes an approach to detect discrete objects on images, namely buildings using the U
Retraction notice to ‘Deep learning-based energy inefficiency detection in the smart buildings' [Sustainable Computing: Informatics and Systems 40 (2023) 100921] (Sustainable Computing: Informatics and Systems (2023) 40, (S2210537923000768), (10.1016/j.suscom.2023.100921))
Huang J., Koroteev D.D., Rynkovskaya M.
that this was not detected during the submission process. © 2024 Elsevier Inc.
Relate building information modeling to quality management according to the different quality management phases
Elsheikh A., Hakim Alamedy S.G.
if buildings meet standards. In this case. Real-time quality control and early fault detection are still
The future of green building: The role of VR and artificial intelligence in improving BIM efficiency
Borisova T., Molchanova Y., Ermakova E.
Building information modeling (BIM), virtual reality (VR) and artificial intelligence (AI
Training Multilingual and Adversarial Attack-Robust Models for Hate Detection on Social Media
Ryzhova A., Devyatkin D., Volkov S., Budzko V.
-tuned these models with several training techniques to build accurate hate speech detectors that are robust

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