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OntoM: An Ontological Approach for Automatic Classification
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The concept of Ontologies has been used in a wide range of application domains, due to the fact that ontologies provide a useful mean for establishing a formal, shared and collective understanding of the concepts and their ...
A machine learning framework for enhancing digital experiences in cultural heritage
(
Emerald Group Publishing Ltd.
, 2020 , Article)
Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ...
An Improvement of Support Vector Machine Imputation Algorithm Based on Multiple Iteration and Grid Search Strategies
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Data missing is a vitally important issue that influences the classification results in medical field. This paper proposes an improved support vector machine (SVM) imputation algorithm by using strategies of pre-imputation, ...
Machine Learning and Digital Heritage: The CEPROQHA Project Perspective
(
Springer
, 2020 , Conference Paper)
Through this paper, we aim at investigating the impact of artificial intelligence technologies on cultural heritage promotion and long-term preservation in terms of digitization effectiveness, attractiveness of the assets, ...
CNN Features vs Classical Features for Largescale Cultural Image Retrieval
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Modern applications for cultural content enrichment and management require low delay image retrieval methods in large databases. Classical image retrieval methods are suitable for certain applications but are also known ...
Cyber Physical Systems and Smart Homes in Healthcare: Current State and Challenges
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Cyber Physical Systems is an emerging paradigm which has gained particular attention in research and development. CPS has transformed the way we interact with the physical world by introducing smart communication between ...
Investigating low-delay deep learning-based cultural image reconstruction
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ...
Blockchains: A Conceptual Assessment from a Product Lifecycle Implementation Perspective
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
PLM systems are heavily distributed collaborative platforms resulting in multiple challenges related to the integrity and reliability of the exchanged information. Such issues are usually difficult to address using traditional ...
The Implementation of A Crop Diseases APP Based on Deep Transfer Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Classifying the severity of crop diseases is the staple-basic element of the plant pathology for making disease prevent and control strategies. The diagnosis of disease needs timeliness and accuracy. Thanks to the development ...
Deep learning based identification of DDoS attacks in industrial application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Denial of Service (DoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets dropping them before passing through is the best prevention ...