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 …

SecureFrameNet: A rich computing capable secure framework for deploying neural network models on edge protected system.

RC Nair, M Rao, M VN - … of the Third International Conference on AI-ML …, 2023 - dl.acm.org
Edge deployment offers several benefits such as minimal network dependencies, privacy
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 …

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 …

Expanding CNN-Based Plant Phenotyping Systems to Larger Environments

J Krause, K Baek, L Lim - … Vision–ECCV 2020 Workshops: Glasgow, UK …, 2020 - Springer
Plant phenotyping systems strive to maintain high categorization accuracy when expanding
their scopes to larger environments. In this paper, we discuss problems associated with …