Analysis of the convolutional neural network architectures in image classification problems
S Leonov, A Vasilyev, A Makovetskii… - Applications of Digital …, 2019 - spiedigitallibrary.org
The work aims to construct effective methods for image classification. For this purpose, we
analyze neural network convolutional architectures, which understand as the number of …
analyze neural network convolutional architectures, which understand as the number of …
SecureFrameNet: A rich computing capable secure framework for deploying neural network models on edge protected system.
Edge deployment offers several benefits such as minimal network dependencies, privacy
protection without exposing device data, and improved latency due to high computing …
protection without exposing device data, and improved latency due to high computing …
[PDF][PDF] Εκμάθηση πολλαπλών εργασιών για εξατομικευμένα συστήματα συστάσεων
ΓΝ Κιρτσάνης - 2022 - ir.lib.uth.gr
The following research introduces a new approach on deep learning and especially in the
problem of recommendations. The proposed methods can be described as MultiTasking …
problem of recommendations. The proposed methods can be described as MultiTasking …
CNN-Based Plant Species Categorization Using Natural Images
J Krause - 2020 - search.proquest.com
Automatic identification of plants from natural images is a challenging problem that is
relevant to both the disciplines of Botany and Computer Science. The classification of plant …
relevant to both the disciplines of Botany and Computer Science. The classification of plant …
Expanding CNN-Based Plant Phenotyping Systems to Larger Environments
Plant phenotyping systems strive to maintain high categorization accuracy when expanding
their scopes to larger environments. In this paper, we discuss problems associated with …
their scopes to larger environments. In this paper, we discuss problems associated with …