Search

Your search keyword '"Nedjah Nadia"' showing total 56,482 results
Start Over Author "Nedjah Nadia"

Refine your results

more »

more »

more »

more »
56,482 results on '"Nedjah Nadia"'

202. Optimal Adaptive Pattern Matching

Author

Nedjah, Nadia, de Macedo Mourelle, Luiza, Goos, G., editor, Hartmanis, J., editor, van Leeuwen, J., editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Hendtlass, Tim, editor, and Ali, Moonis, editor

Published
2002
Full Text
View/download PDF

207. Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Device

Author

Nedjah, Nadia, Nedjah, N ( Nadia ), Huertas Celdrán, Alberto; https://orcid.org/0000-0001-7125-1710, Sánchez Sánchez, Pedro Miguel; https://orcid.org/0000-0002-6444-2102, Sisi, Fabio, Bovet, Gérôme, Martínez Pérez, Gregorio; https://orcid.org/0000-0001-5532-6604, Stiller, Burkhard; https://orcid.org/0000-0002-7461-7463, Nedjah, Nadia, Nedjah, N ( Nadia ), Huertas Celdrán, Alberto; https://orcid.org/0000-0001-7125-1710, Sánchez Sánchez, Pedro Miguel; https://orcid.org/0000-0002-6444-2102, Sisi, Fabio, Bovet, Gérôme, Martínez Pérez, Gregorio; https://orcid.org/0000-0001-5532-6604, and Stiller, Burkhard; https://orcid.org/0000-0002-7461-7463

Published
2022

216. Hardware Architecture for Genetic Algorithms

Author

Nedjah, Nadia, de Macedo Mourelle, Luiza, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Ali, Moonis, editor, and Esposito, Floriana, editor

Published
2005
Full Text
View/download PDF

232. A Benchmark for Performance Evaluation of a Multi-Model Database vs. Polyglot Persistence

Author

Nedjah, Nadia, Ye, Feng, Sheng, Xinjun, Sun, Jun, and Zhang, Peng

Abstract

As the need for handling data from various sources becomes crucial for making optimal decisions, managing multi-model data has become a key area of research. Currently, it is challenging to strike a balance between two methods: polyglot persistence and multi-model databases. Moreover, existing studies suggest that current benchmarks are not completely suitable for comparing these two methods, whether in terms of test datasets, workloads, or metrics. To address this issue, the authors introduce MDBench, an end-to-end benchmark tool. Based on the multi-model dataset and proposed workloads, the experiments reveal that ArangoDB is superior at insertion operations of graph data, while the polyglot persistence instance is better at handling the deletion operations of document data. When it comes to multi-thread and associated queries to multiple tables, the polyglot persistence outperforms ArangoDB in both execution time and resource usage. However, ArangoDB has the edge over MongoDB and Neo4j regarding reliability and availability.

Published
2023
Full Text
View/download PDF

233. Client profile prediction using convolutional neural networks for efficient recommendation systems in the context of smart factories.

Author

Nedjah, Nadia, Azevedo, Victor Ribeiro, and Mourelle, Luiza De Macedo

Subjects
CONVOLUTIONAL neural networks, RECOMMENDER systems, MULTIPLE criteria decision making, DECISION making, SOCIAL networks
Abstract

In this work, we exploit a classifier based on convolutional neural network to predict users' interests regarding products and services, according to their publications in social media. We aim at designing a customizable recommendation system to target social networks' users as potential buyers. We evaluate the performance of training algorithms that use adaptive learning. The evaluation is performed in terms of the achieved accuracy rate to predict user's interest. The selection result is backed up by the multi-criteria decision making. Two metrics are used to identify the real user interest profile of users based on publicly available photos. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results