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Application of deep learning methods for recognizing and classifying culinary dishes in images
Анотація The paper deals with the actual tasks of computer vision–recognition and
classification of objects in images. Deep learning methods based on neural networks are …
classification of objects in images. Deep learning methods based on neural networks are …
Handwritten character recognition models based on convolutional neural networks
V Pomazan, I Tvoroshenko, V Gorokhovatskyi - 2023 - openarchive.nure.ua
Анотація This paper explores the possibility of using various convolutional neural network
models to recognize handwritten Arabic characters. It discusses which of the existing …
models to recognize handwritten Arabic characters. It discusses which of the existing …
[PDF][PDF] Identification of visual objects by the search request
V Gorokhovatskyi, I Tvoroshenko - 2023 - openarchive.nure.ua
Gorokhovatskyi V. Identification of visual objects by the search request. International
scientific symposium «INTELLIGENT SOLUTIONS-S»/Gorokhovatskyi V., Tvoroshenko …
scientific symposium «INTELLIGENT SOLUTIONS-S»/Gorokhovatskyi V., Tvoroshenko …
[PDF][PDF] Application of video data classification models using convolutional neural networks
I Tvoroshenko, V Pomazan, V Gorokhovatskyi… - 2023 - openarchive.nure.ua
Анотація This paper explores the classification of video data with convolutional neural
networks. It discusses how convolutional neural network architecture can do this task with …
networks. It discusses how convolutional neural network architecture can do this task with …
Automatic feature recognition from STEP file for smart manufacturing
VN Malleswari, PL Raj, A Ravindra - Progress in Additive Manufacturing, 2024 - Springer
Industrial organizations are increasingly adopting computer-aided manufacturing (CAM) and
computer-aided design (CAD) tools to streamline manufacturing and product design …
computer-aided design (CAD) tools to streamline manufacturing and product design …
[PDF][PDF] Critical Review of Neural Network Generations and Models Design
JH Yousif, MJ Yousif - Preprints, 2023 - preprints.org
In recent years, Neural networks are increasingly deployed in various fields to learn complex
patterns and make accurate predictions. However, designing an effective neural network …
patterns and make accurate predictions. However, designing an effective neural network …
[PDF][PDF] A two-stage approach for aircraft detection with convolutional neural network
Over the past few years, object detection has experienced remarkable advancements,
primarily attributable to significant progress in deep learning architectures. Nonetheless, the …
primarily attributable to significant progress in deep learning architectures. Nonetheless, the …
SMILEY—assistive application to support social and emotional skills in SPCD individuals
According to the available studies, mobile applications have provided significant support in
improving the diverse skills of special individuals with social pragmatic communication …
improving the diverse skills of special individuals with social pragmatic communication …
Розробка вебзастосунку «Соціальна мережа для публікації творчих робіт»
АЄ Супрун - 2024 - openarchive.nure.ua
Анотація Об'єктом роботи є можливість взаємодії творчих користувачів у соціальній
мережі за допомогою обміну повідомлень і публікації мультимедіа. Метою роботи є …
мережі за допомогою обміну повідомлень і публікації мультимедіа. Метою роботи є …
Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection.
H Liu, X Deng, H Shao - CMES-Computer Modeling in …, 2024 - search.ebscohost.com
The degradation of optical remote sensing images due to atmospheric haze poses a
significant obstacle, profoundly impeding their effective utilization across various domains …
significant obstacle, profoundly impeding their effective utilization across various domains …